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22,549 results for “AND LTER”
Soil Moisture (VWC) at LTER Moisture Manipulation Treatments
This dataset contains the hourly output from sensors located within the moisture manipulation plots at BNZ. Upland snowout shelters went into use winter of 2008/2009.Floodplain snowout shelters started going up winter 2009/2010.
Soil Temperature at LTER Moisture Manipulation Treatments
This dataset contains the hourly output from sensors located within the moisture manipulation plots at BNZ. Upland snowout shelters went into use winter of 2008/2009.Floodplain snowout shelters started going up winter 2009/2010.
Litterbag decomposition study, BCEF LTER sites, 1989-1997
This study is designed to estimate the time transient for decomposition of new litter and changes in its chemical composition. The study is designed to last for 10 years. It is conducted in each of the replicate sites that comprise the upland and floodplain successional sequences at the BNZ LTER site.
Litterfall Weights From LTER Study Site Treatment Plots: 1990 - Present
Litter is measured within the nutrient treatment plots at LTER research sites located within the Bonanza Creek Experimental Forest. The 21 LTER treatment sites monitored for litterfall represent three replicates each of four successional stages of primary succession on the floodplain of the Tanana River and three stages of succession following wildfire in the uplands. Three litter trays are placed within each treatment at the 21 LTER sites. Litter trays are 0.5 m x 0.5 m wooden frames constructed of 1" x 4" boards with fine screen stapled to the bottom side. Litter is collected in the spring as soon after snowmelt as possible (usually in May) and in some years in the fall just before freeze-up as well. Litter collections bagged are removed to the lab where they are dried in ovens at 65 deg C for at least 48 hours. Each sample is then weighed to the nearest 0. 1 grams. In 2009 treatments A and C were dropped from the study after finishing the 20 year study.
Measurement of Fuel load (organic biomass) Quantities of Organic Soils, Understory Plants and Trees at Sites within the Bonanza Creek LTER Regional Site Network in Interior Alaska, 2019
This dataset contains fuel load measurements for a subset of the BNZ LTER's RSN sites (n = 28). The data for each site separted by 16 fuel types (or plant functional types) including organic soil layers (fibric, mesic), vascular understory (evergreen shrub, short deciduous shrub, graminoid, forb, tall deciduous shrub, tree seedling/sapling, dead-downed wood), nonvascular understory (feather moss, Sphagnum moss, colonizer moss, lichen) and trees (evergreen tree, deciduous tree).
Tree-Ring Data for Co-Occurring White Spruce and Paper Birch at an Intermediate Aged Stand in the Bonanza Creek LTER Regional Site Network - 2018
This dataset contains tree ring widths of co-occurring white spruce and Alaska paper birch. The data were published as part of a 2021 article in Journal of Ecology.
Nitrogen production and foliage biomass from LTER sites 1989
The nitrogen productivity (N-productivity) concept represents one approach for development of algorithms for expansion from the individual tree to stand or landscape levels of estimation of primary production across the earth's surface. A simple equation based on the N-productivity concept can be used to estimate plant production from the individual tree to stand level geographic units. Maximum N-productivity equations were developed for balsam poplar, white birch, and white spruce on an individual tree basis for the taiga of interior Alaska. Maximum N-productivity equations were also developed for aspen, balsam poplar, and white spruce on a unit area basis (m2). A single equation for all species sampled and individual stands was developed on a unit area basis. The calculated productivity for test stands was in close agreement to the measured productivity from the landscape perspective. The set of equations presented can be used for calculation of taiga forest productivity in a geographic model developed within a GIS software package in which the landscape unit is an integral part of the model structure.
Point-count bird censusing: bird abundance and diversity in CAP LTER Phoenix Area Social Survey neighborhoods throughout the greater Phoenix metropolitan area, 2006-2016
The Phoenix Area Social Survey (PASS) parallels the Ecological Survey of Central Arizona (formerly, Survey 200) as a long-term monitoring program of the CAP LTER. Every five years, the PASS research team surveys households in selected neighborhoods in the metropolitan Phoenix area to better understand perceptions, values, and behaviors of several key environmental issues, including water conservation, urban growth, air pollution, land conservation, biodiversity and urban climate change, as well as perceptions about their neighborhoods. The survey was piloted in 2001-2002 in eight neighborhoods in Phoenix with 302 respondents, and grew to over 40 neighborhoods and 800 households in 2005. Bird survey locations were established in each of the PASS neighborhoods, colocated as much as possible with the corresponding ESCA survey location in the neighborhood. Bird surveys were conducted biannualy (spring, winter) approximately the year of and the year after each PASS. In a given season, each bird survey location is visited independently by three birders who count all birds seen or heard within a 15-minute window.
Parameters from discrete bottle samples on a hydrographic CTD (Conductivity Temperature Depth) cast during CCE LTER process cruises in the CCE region, 2006 - 2019 (ongoing).
Hydrographic CTD (Conductivity Temperature Depth) measurements from discrete water samples are taken on individual CTD rosette casts, deployed on CCE Process cruises (since 2006, ongoing) in the Southern California region. Seawater is collected in up to 24 Niskin bottles at specific depths (up to 1000m), determined by the chlorophyll maximum and mixed layer depth as the instrument is lowered through the water column. The samples are filtered and analyzed at sea and used to assess the CTD sensor data quality. Measurements include depth, temperature, salinity, density (sigma theta), oxygen, O2 saturation, PAR (radiation, surface radiation and irradiance), fluorescence and transmission. Salinity checks are performed with a salinometer back at the lab.
Size fractionation for total Chl a within the surface layer and calculated size distribution of total Chl a from discrete bottle samples collected during CCE LTER process cruises in the CCE region, 2006 - 2024 (ongoing).
Water for size fractionation of chlorophyll a is sampled from ~10m depth (surface layer) in the CCE study area. The size distribution of total chlorophyll a is determined by filtering water though filters of differing pore sizes. These are then extracted in acetone and analyzed fluorometrically with Turner Designs 10-AU Fluorometer on CCE Process cruises (since 2006, ongoing). Chlorophyll a and taxon-specific pigments (chlorophylls and carotenoids) are qualitatively and quantitatively characterized in the lab onshore by several size fractions (< 1µm to > 20µm) utilizing High Performance Liquid Chromatography (HPLC) analysis. The samples analyzed within the CCE region are used to develop a metric for phytoplankton community structure that can be used to monitor its state and changes thereof over time.
Water column primary production per day integrated over the euphotic zone from CCE LTER process cruises in the California Current System, 2006 - 2021 (ongoing).
Derived dataset of vertically integrated primary production (uptake rate of carbon) of particulate organic carbon (POC) using 14C uptake measurements from in situ incubations, filtering methods and measured in mg/m²/day.
Measurements, from CCE LTER process cruises in the California Current region, of dissolved inorganic concentrations of nutrient iron and of iron limitation at selected stations and depths, 2006 - 2021 (ongoing).
Measurements are made of dissolved iron, total iron and the potential for phytoplankton iron limitation on CCE LTER Process cruises (since 2006, ongoing) in coastal transition zones of the southern California Current System. This is a weak upwelling regime that is relatively low in nutrients and chlorophyll. Changes in phytoplankton (Chla response to Fe+) and nutrient parameters upon iron addition are also investigated.
Total dissolved organic carbon and nitrogen measurements at selected depths in the water column from CCE LTER process cruises in the California Current System, 2006 - 2021 (ongoing).
Water column bottle samples at multiple depths are taken during CCE Process cruises (since 2006, ongoing) at various CTD stations, and measurements of total organic carbon (TOC) and total nitrogen (TN) are performed onshore in the lab. TOC includes both dissolved and particulate organic carbon (DOC and POC, respectively). TN includes particulate and dissolved organic nitrogen as well as dissolved inorganic nitrogen species. In open ocean waters, POC is subtracted from TOC, and likely provides an accurate estimate of DOC because particles are typically small and homogeneously distributed in the sample. In coastal waters, and at stations where relatively high chlorophyll concentrations are present, the TOC measurement is not easily converted to DOC by subtracting POC values. Experience has shown that particles in these regions are large and inhomogeneously distributed. Therefore, samples collected in the CCE are reported as TOC and TN, expressed as micromoles of carbon (nitrogen) per liter of sea water.
Sediment trap fecal pellets enumerations collected aboard CCE LTER process cruises in the California Current system, 2007, 2008 and 2016.
The collection and enumeration of sinking fecal pellets on CCE LTER Process cruises has been led by Mike Stukel since 2007. Sinking particles are collected in VERTEX-style particle interceptor traps (PIT) with an 8:1 aspect ratio, 70-mm diameter, and a baffle on top comprised of 13 smaller beveled tubes with a similar 8:1 aspect ratio. Tubes are deployed with a formalin-brine for a duration of 2-5 days. After recovery, samples are gently split on a Folsom splitter and typically 3/8 to 1/2 of two separate tubes are utilized for fecal pellet enumeration. After the cruise, samples for fecal pellet enumeration are placed in a settling chamber to allow fecal pellets to settle out. Overlying water is then strained through a 60-um filter to collect any pellets that may have remained in the water. Pellets were then placed on a gridded Petri dish and analyzed using a Zeiss Discovery stereomicroscope. Pellets were separated from other particles and photographed with a dedicated camera. Image processing was then conducted using either Image J or Image Pro to extract area and maximum feret length for each fecal pellet. Pellets were classified by shape and shape-appropriate equations were used to determine the volume of each fecal pellet. Volume was converted to mass using the equations in Stukel et al. (2013). ‘Sample’ refers to which of two samples the fecal pellet was contained within. ‘PelletID’ is the identifier for each fecal pellet in a sample. ‘Conversion Factor’ accounts for the proportion of a sample that was sorted for fecal pellets, as well as the deployment duration and cross-sectional area of the sediment trap. To determine the mass flux of fecal pellets of a certain type: 1) Sum the pellet mass for all fecal pellets of that type in a given sample and 2) multiply by the Conversion factor for that sample. ‘Shape’ is an identifier for the shape of a fecal pellet: 1) ovoid, 2) cylindrical, 3) spherical, 4) tabular, 5) amorphous, 6) ellipsoidal, 7) degraded fecal mater
Vertical profiles of in-situ biogenic silica (bSi) from discrete rosette bottle samples from CCE-LTER starting with cruise P1706.
Samples are taken at discrete depths from rosette bottles in the California Current Ecosystem and measured for biogenic silica (bSi) concentration to create bSi depth profiles. Diatom community and physiology affect biogenic silica concentration. These data are being used to investigate the effects of Fe limitation on carbon and silica cycling in the CCE.
Gut Fluorescence measurements of mesozooplankton grazing on autotrophic prey. Samples collected in the CCE-LTER region on Process Cruises from 2006 to the present. Summaries for each Lagrangian Cycle.
Mesozooplankton are collected with plankton nets (typically a 71-cm diameter, 202-um mesh Bongo net) and samples flash frozen at sea in liquid N2 for subsequent shore-based measurements of ingested phytoplankton chlorophyll-a. Measurements of mesozooplankton gut fluorescence are done by fluorometric analysis on a Turner Designs fluorometer of gut pigments extracted in 90% acetone. Analyses are done on mesozooplankton size-fractionated into 5 different categories on Nitex mesh (> 0.2 mm, 0.5 mm, 1.0 mm, 2.0 mm, 5.0 mm). The pigment content (as Chl-a and phaeopigments) is then expressed as mass of pigment ingested per m3 of water filtered, or divided by the dry weight biomass of the mesozooplankton in the same sample in order to obtain mass-specific ingestion per m3 of water. Application of published values of the temperature-dependent gut passage time are used to estimate the mesozooplankton grazing rate, as pigments ingested per m3 per unit time, or the corresponding mass-specific rate of ingestion. Samples for gut fluorescence assays have been collected on CCE-LTER Process Cruises since 2006 and these collections are ongoing.
Dry weight biomass measurements of net-collected mesozooplankton. Samples collected in the CCE-LTER region on Process Cruises from 2006 to the present. Summaries for each Lagrangian Cycle.
Mesozooplankton are collected with plankton nets (typically a 71-cm diameter, 202-um mesh Bongo net) and samples flash frozen at sea in liquid N2 for subsequent shore-based measurements of dry weight biomass. Measurements are made by weighing pre-tared Nitex mesh on an analytical balance, for mesozooplankton size-fractionated into 5 different categories (> 0.2 mm, 0.5 mm, 1.0 mm, 2.0 mm, 5.0 mm). Biomass is expressed as dry mass of zooplankton per m3 of water filtered, or when multiplied by the maximum depth of the tow, as integrated dry mass of zooplankton per m2 of sea surface. Samples for dry weight biomass have been collected on CCE-LTER Process Cruises since 2006 and these collections are ongoing.
Primary production estimates from 14C uptake (in situ), determined by the incorporation of inorganic carbon into particulate organic carbon (POC) due to photosynthesis at selected light levels from CCE LTER process cruises in the California Current System, 2006 - 2021 (ongoing).
Primary productivity samples of seawater are taken each day shortly before noon on the CTD rosette up-cast during the CCE Process crusies (since 2006, ongoing). Light penetration below the surface is estimated from the Secchi disk depth. Niskin bottles from depths with ambient light intensities corresponding to light levels simulated by on-deck incubators are identified and sampled. Primary production is estimated from 14C uptake using this simulated in situ technique (followed by filtering) by which the assimilation of dissolved inorganic carbon by phytoplankton yields a measure (in µg/L/day) of the rate of photosynthetic primary production (particulate organic carbon, POC) at selected light levels in the euphotic zone within the CCE study area.
Dendrometer Band Measurements from the Coweeta LTER Terrestrial Gradient Sites, Coweeta Hydrologic Laboratory, Otto, North Carolina.
Trees for this project were banded with aluminum bands and growth increment markers to accurately measure tree growth at multiple times during the year. Trees were located on each of the five terrestrial gradient plots. Tree species, initial diameter, and subsequent calculated diameters are included for each tree.
Measurements of coarse woody debris at the Coweeta LTER Terrestrial Gradient Sites, Coweeta Hydrological Laboratory, Otto, NC from 2003 to 2014
The five Terrestrial Gradient sites were established in the early 1990s as part of the 1990 Coweeta LTER Renewal. The original terrestrial gradient sites were 20 x 40-m. In the late 1990s the plots were expanded to 80 x 80-m and later (around 1998) they were slope-corrected by Clark's lab using survey equipment. In this study, coarse woody debris (CWD) was measured in each of the five terrestrial gradient plots at the Coweeta Hydrologic Lab from 2003 through 2014. The length, diameters, and decay class of coarse wood were measured within each of the plots.
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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)
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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.