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10,599 results for “2017”
Nonstructural Carbon, Phenology and Wood Formation in Three Tree Species at Harvard Forest 2017-2019
This data set comprises various observations and measurements across the 2017 to 2019 growing season for seven red maple (Acer rubrum), eight red oak (Quercus rubra), and six white pine (Pinus strobus) in the Prospect Hill Tract of Harvard Forest. The observations include spring and fall leaf phenology and basic allometry, such as diameter at breast height and height. For the leaf phenology, we followed the protocol from John O’Keefe (HF003). Measurements include wood growth data from weekly microcores and a three time characterisation of growing season nonstructural carbon concentrations (soluble sugars and starch) for stems and leaves. Additionally, stem CO2 efflux was measured once a month for the 2018 growing season and weekly for the 2019 growing season.
Effects of Soil Warming and Substrate Complexity on Microbial Carbon Use Efficiency at Harvard Forest 2017
Soil microbial carbon use efficiency (CUE) is a combination of growth and respiration, which may respond differently to climate change depending on physical protection of soil carbon (C) and its availability to microbes. In a mid-latitude hardwood forest in central Massachusetts, 27 years of soil warming (+5 ◦C) has resulted in C loss and altered soil organic matter (SOM) quality, yet the underlying mechanisms remain unclear. Here, we hypothesized that long-term warming reduces physical aggregate protection of SOM, microbial CUE, and its temperature sensitivity. Soil was separated into macroaggregate (250–2000 μm) and microaggregate (less than 250 μm) fractions, and CUE was measured with 18O-enriched water in samples incubated at 15 and 25 ◦C for 24 h. We found that long-term warming reduced soil C and nitrogen concentrations and extracellular enzyme activity in macroaggregates, but did not affect physical protection of SOM. Long-term warming showed little effect on CUE or microbial biomass turnover time because it reduced both growth and respiration. However, CUE was less temperature sensitive in macroaggregates from the warmed compared to the control plots. Our findings suggest that microbial thermal responses to long-term warming occur mostly in soil compartments where SOM is less physically protected and thus more vulnerable to microbial degradation.
Inorganic Nutrient Concentrations in Forested Headwater Streams at Harvard Forest since 2017
For the past 8000 years hemlock has been the foundation species throughout the northeast. The unique functional characteristics of Hemlock have dictated biogeochemical fluxes from terrestrial to aquatic ecosystems (Ellison et al. 2005). Unfortunately, it is currently in an irreversible decline due to the Hemlock Wooly Adelgid and the consequences on riparian ecology are unknown but likely profound (Adams et al. 2012). Red maple, black birch, and northern red oak are some of the most abundant trees in southern New England and are poised to replace hemlock across the landscape (Orwig et al. 2012). Decline and loss of hemlock, and its replacement with hardwood species containing different functional traits are expected to lead to changes in litterfall inputs, forest evapotranspiration, surface water hydrology, including seasonal streamflow/stormflow dynamics, stream temperature, decomposition, and nutrient release (Ellison et al. 2005; Ford and Vose 2007; Guswa and Spence 2011;Brantley et al. 2014). This anticipated shift to hardwoods has far reaching effects as it will significantly alter receiving water primary productivity and food web structure (Humborg et al. 2000, Garnier et al. 2010) by changing watershed N:P:Si export ratios and nutrient availability downstream (e.g., Currie et al. 1996, Fulweiler and Nixon 2005, Carey and Fulweiler 2013). The goal of this ongoing project is to quantify watershed export of inorganic nutrients overtime from the three gauged forested streams at Harvard Forest. To do this we aim to collect samples weekly and then we will calculate monthly, seasonal, and annual changes in inorganic nutrient export. Further we are investigating inorganic nutrient concentration as well as flux vs. stream discharge patterns to better understand the role of physical vs. biological processes in driving watershed nutrient export.
Climate data for saddle catchment sensor network, 2017 - ongoing.
Spatial and temporal variability characterizes virtually all ecosystems, with resource supply changing over the course of growing season and across years due to climate variation. To better understand spatial heterogeneity in ecological response across landscape positions, we established a 16-node sensor array within a 45 hectare catchment landscape that measures temporal variability of important biogeochemical and hydrological controls on ecosystem processes. The array was established at the Niwot Saddle catchment in order to accompany long term water quality and discharge records taken at the top and bottom of this catchment. The region forms an important ecological linkage between the the terrestrial areas of the Niwot Ridge LTER and the aquatic component in the Green Lakes Valley.
Above-ground biomass and NDVI for Sensor Node Array, 2017 - ongoing.
Spatial and temporal variability characterizes virtually all ecosystems, with resource supply changing over the course of growing season and across years due to climate variation. To better understand spatial heterogeneity in ecological response across landscape positions, we established a 16-node sensor array within a 45-hectare catchment landscape that measures temporal variability of important biogeochemical and hydrological controls on ecosystem processes. The array was established at the Niwot Saddle catchment in order to accompany long term water quality and discharge records taken at the top and bottom of this catchment. The region forms an important ecological linkage between the terrestrial areas of the Niwot Ridge LTER and the aquatic component in the Green Lakes Valley. Over two years (2017 – 2018), above-ground biomass data were sampled adjacent to each of the 16 sensor nodes to characterize plant productivity. Beginning in 2023, Normalized Difference Vegetation Index (NDVI) was measured at each node.
Concentration of dissolved organic carbon in water samples taken from the Upper Clark Fork River (Montana, USA) during water years 2017 and 2018 (1 Oct 2016 - 30 Sep 2018)
These data were collected by the University of Montana and Montana State University to support the Upper Clark Fork River restoration monitoring project supported by the US NSF Long Term Research in Environmental Biology (LTREB) program. 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 2017 and 2018 water year (1 Oct 2016 to 30 Sep 2018). 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.
Multispectral absorbance and fluorescence analysis of dissolved organic carbon in water samples taken from the Upper Clark Fork River (Montana, USA) during water years 2017 and 2018 (1 Oct 2016 - 30 Sep 2018)
The Upper Clark Fork River (UCFR) Long Term Research in Environmental Biology (LTREB) umbrella monitoring project generating these data is conducted separately and complementarily to the 200-million-dollar (USD) superfund project for ecological restoration of the UCFR, associated tributaries, and head water streams including Silver Bow and Warm Springs Creeks. Restoration along the UCFR in western Montana includes removal of metal-laden floodplain soils, lowering of the floodplain to its original elevation, and re-vegetation of over 70 km of the river’s floodplain closest to contaminant sources. The UCFR LTREB project includes bi-weekly water quality monitoring across the first 200 km of the river and its major tributaries along a gradient of heavy metal contamination associated with historic mining. Monitoring includes inorganic phosphorus and nitrogen concentrations, biotic standing stocks, and dissolved and whole-water heavy metal concentrations. The monitoring program began in 2017 with funding likely to be extended through 2028. The original analytical intent for these data was to assess the response of river dissolved organic carbon to the floodplain restoration. Data are multispectral absorbance and fluorescence analyses of organic carbon dissolved in samples of well-mixed river thalweg water. Data include excitation-emission matrices, absorbance spectroscopy, as well as absorbance and fluorometric summary indices calculated at specific wavelengths of excitation and emission. Data are from the 2017 and 2018 water years (1 Oct 2016 to 30 Sep 2018). Data were collected on the Upper Clark Fork River (USGS HUC 17010201) at 13 project sites distributed along the river from the vicinity of Anaconda to Missoula, Montana, USA. These data are a correction of a previously published data product (doi:10.6073/pasta/6ba30f4ebb63175a4399c5d0aa6a8698). Inconsistencies between availability of EEMS data, absorbance data, and fluorometric summary metrics have been corrected. P
Concentration of nutrients in water samples collected from the upper Clark Fork River (Montana, USA) during water years 2017 and 2018 (1 Oct 2016 - 30 Sep 2018)
The LTREB monitoring project is a portion of the 200 million-dollar superfund project for ecological restoration of the Clark Fork River, associated tributaries, and head water streams including Silver Bow and Warm Springs Creek. Restoration along the Clark Fork River includes removal of metal-laden floodplain soils, lowering of the floodplain to its original elevation, and re-vegetation of over 70 km of the river's floodplain closest to contaminant sources. The LTREB monitoring project consists of 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 LTREB monitoring project is conducted within the first 200km of the Clark Fork River and associated tributaries located in Western Montana. This LTREB monitoring program began in 2017 and will be completed in the year 2022 with potential for funding extension. Surface water samples represented in this data product are collected from thirteen sites along the mainstem of the upper Clark Fork River. Water samples are collected at each monitoring site in triplicate and filtered with a 0.7 µm glass fiber filter. Nutrient samples are analyzed using a spectrophotometric flow injection analyzer (AP2) for nitrate (N-NO3), soluble reactive phosphorus ((SRP) P-PO4), and ammonium (N-NH4) concentrations reported in mg/L. This data package excludes from the final data product all but three WY2017 NO3N data due to column inefficiency during most measurements. The valid, analysis-ready data of this dataset therefore primarily represent two sets of Quality Assurance and Quality Control (QAQC) processed data from thirteen sites along the mainstem of the upper Clark Fork River: NH4N and SRP concentrations collected in water year 2017 (1 Oct 2016 - 30 Sept 2017) and NH4N, SRP, and NO3N collected in water year 2018 (1 Oct 2017 - 30 Sept 2018).
Gender and ethnic diversity of members of US university natural resource program external advisory board members, 2017-2022
This dataset contains deidentified demographics information for the members of external advisory boards that serve university natural resource programs. Data collected in 2017 and 2022 represents a sample of land-grant, National Association of University Forestry Program-affiliated, TIMES-ranked universities and colleges. Each row represents a member of an advisory board. Data collection was completed in two years: 2017 and 2022. Data was collected from department webpages and lists of advisory board members provided by department personnel. As needed, information was augmented through internet searches for public LinkedIn pages, organizational pages, local news stories, etc. Data include a unique respondent ID, a code for the university they are from, their employer affiliation (e.g., NGO, federal government, NR business, etc.) and their gender and ethnicity measured as binary variables.
Soil biogeochemical variables collected on the Arctic Long Term Ecological Research (ARC LTER) experimental plots in moist acidic and dry heath tundra, Arctic LTER, Toolik Field Station, Alaska 2017.
**Note: Versions 1 and 2 had the wrong data files.** Soil nutrients (total Carbon and Nitrogen, inorganic nutrients (ammonium ion (NH4), nitrate anion (NO3-), phosphate anion (PO43-)); organic nutrients (extractable organic carbon (EOC), extractable total nitrogen (ETN), extractable organic phosphorus (EOP)), microbial biomass, and extracellular enzyme activity on soils sampled from the Arctic LTER Dry Heath (organic soils only) and Moist Acidic Tundra (organic and mineral soils) herbivore exclosures and control plots at Toolik Lake, AK in July 2017.
Vegetation species abundance via point frame from Arctic LTER dry heath tundra, Toolik Field Station, Alaska, 2017
Vegetation (species) abundances were measured from LTER heath tundra herbivore exclosures using the point frame method. This file contains the number of pin hits per species for each subplot.
Phoenix Area Social Survey (PASS): 2017
The Phoenix Area Social Survey (PASS) was established in 2001 as part of the Central Arizona–Phoenix Long-Term Ecological Research (CAP LTER) project's long-term monitoring program. Every five years, the PASS team surveys households in select neighborhoods in metropolitan Phoenix in order to better understand people's perceptions, attitudes, and behaviors on environmental issues such heat stress and climate change, water scarcity and policy, landscape choices and management, and urban wildlife and biodiversity. In 2001, the first PASS was piloted in 8 neighborhoods (n= 302) in the City of Phoenix, Arizona. Aiming for about 20 respondents per neighborhood, the 2006 (n= 808) and 2011 (n= 806) samples were expanded to cover a broader range of neighborhoods (40-45) that better represent the geography of the greater metropolitan area, both in terms of location and demographics. In order to characterize and examine residents' views and practices in particular Phoenix-area neighborhoods, the 2017 survey was redesigned to target a larger number of people (~65) in fewer (12) neighborhoods across the region. The new sampling design allows for intensive neighborhood analyses that link residents' perceptions, attitudes, and decisions to the local ecology (e.g., urban infrastructure, landscape attributes, species composition). The 2017 PASS neighborhoods were distributed across CAP LTER ecological monitoring sites at green/blue infrastructure such as the Salt River, Tempe Town Lake, and Indian Bend Wash, in addition to desert preserves such as South Mountain Park and McDowell Sonoran Preserve. Ecological data also collected at these sites included climate and temperature data, nutrient fluxes, and wildlife community measurements. In each neighborhood, for example, the local bird community was measured at three point-count stations so that we can link biodiversity metrics to people's views and actions that affect them. Overall, the 2017 PASS survey explores major themes integral
Fine-scale meteorological observations from walking traverses in two Phoenix Area Social Survey (PASS) 2017 neighborhoods (2019)
This dataset includes human-biometeorological observations from 2.5 km walking traverses with a mobile weather station. The traverses occurred in two 2017 Phoenix Area Social Survey neighborhoods (U18: South Phoenix/Salt River (Audubon) and W15: Camelback Mountain) on one day in June and October, at 12pm and 4pm on each day. Specifically, air temperature, humidity, wind speed, and radiant energy (infrared and solar radiation) in 3-dimensions were measured at 2-second intervals. Additionally, mean radiant temperature was calculated from the radiation measurements. The meteorological observations are spatially referenced with latitude and longitude coordinates. The paths through the neighborhoods were chosen to maximize proximity to PASS 2017 participants’ homes.
Land Zones in New England 1940-2070 from 2017 Wildlands and Woodlands Report
This dataset contains two GIS datalayers, one CSV file and an associated R script used to produce figures for the 2017 Wildlands and Woodlands report. The “wedge diagram” data (HF360-01-landcover-data.csv) shows actual percent landcover estimates across New England from 1940 to 2010 and straight-line trends needed between 2010 to 2070 to reach the Wildlands and Woodland vision by 2060. The published diagram can be seen in figure 1 of the 2017 Wildlands and Woodland report. In hf360-03-community-forests.zip, the GIS layer shows towns that contain community forests as determined by the authors of the report. In hf360-04-wildland-woodland-zones.zip, the GIS layer shows Wildland and Woodland Zones as illustrated in the report. It was created by starting with the Wildland and Woodland zones from the 2010 report and adding in areas with high agricultural land use. These types are meant to be conceptual and not prescriptive. Wildlands and Woodlands Report: Foster, D. R., Lambert, K. F., Kittredge, D. B., Donahue, B. M, Hart, C. M., Labich, W. G., Meyer, S., Thompson, J. , Buchanan, M., Levitt, J. N., Pershel, R., Ross, K., Elkins, G., Daigle, C., Hall, B., Faison, E. K., D'Amato, A. W., Forman, R. T. T., Del Tredici, P., Irland, L. C., Colburn, B. A., Orwig, D. A., Aber, J. D., Berger, A., Driscoll, C. T., Keeton, W. S., Lilieholm, R. J., Pederson, N., Ellison, A. M., Hunter, M. L., Fahey, T. J. 2017. Wildlands and Woodlands, Farmlands and Communities: Broadening the Vision for New England.
Wisconsin creel dataset as well as predictor variables for lakes from 1990 to 2017 to estimate statewide recreational fisheries harvest
Recreational fisheries have high economic worth, valued at $190B globally. An important, but underappreciated, secondary value of recreational catch is its role as a source of food. This contribution is poorly understood due to difficulty in estimating recreational harvest at spatial scales beyond an individual system, as traditionally estimated from angler creel surveys. Here, we address this gap using a 28-year creel survey of ~300 Wisconsin inland lakes. We develop a statistical model of recreational harvest for individual lakes and then scale-up to unsurveyed lakes (3769 lakes; 73% of statewide lake surface area) to generate a statewide estimate of recreational lake harvest of ~4200 t and an estimated annual angler consumption rate of ~3 kg, nearly double estimated United States per capita freshwater fish consumption. Recreational fishing harvest makes significant contributions to human diets, is critical for discussions on food security, and the multiple ecosystem services of freshwater systems.
Application of eDNA as a tool for assessing fish population abundance, Northern Wisconsin, US, 2017 - 2018
Environmental DNA concentrations, WDNR/GLIFWC mark-recapture population estimates, and abiotic lake data on 24 lakes in Wisconsin's Ceded Territory used to evaluate the relationship between walleye abundance and environmental DNA density and its application as a fisheries management tool.
Fish catch and biomass per unit effort from McDermott and Sandy Beach Lakes 2017-2020
Centarchidae spp., a warm-adapted group of fishes including basses and sunfishes, has increased in recent decades in Wisconsin. Concurrently, declines in cool-adapted species, including Walleye (Sander vitreus), have occurred but the cause is not understood. Multiple factors have been associated with these declines, including rising lake temperatures, habitat degradation, harvest, and species interactions. To quantify the role that competition and/or predation between increasing centrarchids and the rest of the fish community plays, we are conducting a whole-lake experiment to remove centrarchids from an experimental lake in northern Wisconsin while measuring the response of all other fish species. In 2018 and 2019, ~200,000 centrarchid individuals were removed, while species-specific catch-per-unit-effort (CPUE) and biomass-per-unit-effort (BPUE) were measured. Yellow Perch have increased in CPUE and BPUE, while centrarchid abundances have declined. We will continue removing centrarchids in 2021 and monitoring these populations. This information will be used to inform an understanding of the conditions necessary to support self-sustaining fish populations given global environmental change.
Molecular composition of dissolved organic matter from Lake Mendota from June – November 2017, analyzed by Fourier-transform ion cyclotron resonance mass spectrometry
Dissolved organic matter (DOM) is a complex mixture of organic compounds found in all natural waters. Its composition affects its reactivity towards numerous processes. Its composition is a function of both its source (e.g., allochthonous or autochthonous) as well as the extent of environmental processing it has undergone (e.g., chemical or biological degradation). Fourier-transform ion cyclotron resonance mass spectrometry (FT-ICR MS) allows for the characterization of dissolved organic matter at the molecular level. The water sample was collected near the NTL-LTER research buoy on Lake Mendota. Formula assignments were made to raw mass to charge ratios detected in the mass spectrum using a custom processing script and resulting in a list of chemical formulas making up the DOM sample.
Ultraviolet-visible spectroscopy absorbances for dissolved organic matter from Lake Mendota from June – November 2017
Dissolved organic matter (DOM) is a complex mixture of organic compounds found in all natural waters. Its composition affects its reactivity towards numerous processes. Its composition is a function of both its source (e.g., allochthonous or autochthonous) as well as the extent of environmental processing it has undergone (e.g., chemical or biological degradation). Ultraviolet-visible (UV-vis) spectroscopy is an analytical technique commonly used to assess the composition of dissolved organic matter in water samples. Here, we present spectra from Lake Mendota samples collected from June - November in 2017 at the surface of Lake Mendota as well as at specific depths within the water column. All samples were collected near the NTL-LTER research buoy. Absorbance values are listed for wavelengths 200 - 800 nm for each sample.
Plant species composition for sensor network array, 2017 - ongoing.
Above-ground plant species cover was recorded for vegetation plots in the sensor network, starting in 2017. Cover was measured annually at peak biomass using a 100 point-intercept method.
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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.