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ShareScore release 0.9.0
Dataset results
22 results for “2014-2016”
Spatial surface water chemistry of Lake Mendota with FLAMe: 2014-2016
We mapped surface water chemistry in Lake Mendota 39 times between 2014 and 2016. We used a sensor-based and boat-mounted sensing platform to continuously measure underway water chemistry. Measurements were linked with global positioning systems (GPS) to create maps of surface water chemistry. Data have been provided in three formats (raw, hydraulic-corrected, and tau-corrected). Dataset is used for the publication, "Large spatial and temporal variability of carbon dioxide and methane in a eutrophic lake", https://doi.org/10.1029/2019JG005186
Soil water content before and after rain events, May-July 2014-2016, Hainich, Germany, project AquaDiva
<p>This dataset contains soil water content data used for the analysis published in Fischer-Bedtke et al., (2023). It gives spatially distributed soil water contents evaluated at a rain event scale covering the following periods:</p> <p>May 5 - July 26 2014</p> <p>May 13 - July 28 2015</p> <p>May 25 - July 24 2016</p> <p>The enclosed files cover two different soil depth: topsoil (soil depth 7 cm) and subsoil (soil depth 27 cm).</p> <p>Fischer et al. (2023) give details about the included data and should be cited along the with the dataset when using the data.</p> <p><strong>Related datasets</strong></p> <p>Design information on the soil water content measurement points, including position to the next tree, hydraulic soil properties can be found in the follwowing associated dataset</p> <p>Metzger, Johanna Clara, Hildebrandt, Anke, & Filipzik, Janett. (2023). Soil moisture sensor network, design, location attributes and soil properties, Hainich, Germany, project AquaDiva (1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.8065170</p> <p> </p> <p><strong>References</strong></p> <p>Fischer, C., Metzger, J. C., Demir, G., Wutzler, T., and Hildebrandt, A.: Throughfall spatial patterns translate into spatial patterns of soil moisture dynamics – empirical evidence, Hydrology and Earth System Sciences, https://doi.org/10.5194/hess-2022-418, 2023.</p>
Stream Consumers and Lotic Ecosystem Rates (SCALER) in streams of the HJ Andrews Experimental Forest, 2014-2016
SCALER attempts to address the question of whether small-scale ecological experiments can be applied to understand the behavior of entire ecological systems. Specifically, the role of comsumers to stream functional processes were examined by measurements of structure and function within stream reaches. These results feed into a broader continent wide examination within a variety of ecological systems. Rates of stream metabolism (photosynthesis and respiration) and nutrient uptake were measured, as well as the way these rates respond to animal exclusions (used to mimic loss of animal diversity in streams). Aquatic food web and biogeochemical responses in three consecutive 75m stream reaches were measured by manipulating densities of fish and amphibians (natural, depletion, and addition). Additionally, various stream characteristics were measured including streamflow, water chemistry, nutrients, metabolism, stream habitat measurements (wetted widths, depths and substrate), and canopy conditions (percent shade). The experiment was carried out every summer between 2014-2016 in streams of the HJ Andrews Experimental Forest to capture interannual variability.
District heating network data for the city of Flensburg from 2014-2016
<p>The data package contains flow temperatures and the overall heat load for the district heating network of Flensburg, Germany for the years 2014-2016.</p>
Autumn departure from breeding site (date and time) in Gambel's white crowned sparrows near Toolik Field Station, Alaska, summers 2014-2016
This data set contains information about an automated radio-telemetry study conducted near Toolik Field Station examining the date that adult male and female Gambel's white-crowned sparrows (Zonotrichia leucophrys gambelli) depart the breeding site relative to the timing of breeding and sunrise/ sunset. It was funded, in part, through ARC 0909133 (to John Wingfield) and ARC 1147289 (to Marilyn Ramenofsky). It is associated with publication: https://doi.org/10.1007/s10336-020-01754-z.
Redox potential and related ancillary measurements from Lakkasuo raised mire in 2014-2016
<p>The dataset contains redox potential and related ancillary measurements from the Lakkasuo raised mire complex from 2014 to 2016. </p>
Eco-Congregation Scotland, 2014-2016
<p>This data set provides location, name, and start date for Scottish Eco-Congregations. It was produced as a part of a research project that was jointly funded by the AHRC/ESRC (Grant Ref: AH/K005456/1) and based at the University of Edinburgh. The data is available for academic use under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license. For full details, see: http://creativecommons.org/licenses/by-nc-sa/4.0/legalcode. Full details of data collection methods and descriptions of fields included can be found in ECS-GIS-Locations_2.9_simplified_readme.txt and ECS-GIS-Locations_2.9_enhanced_readme.txt. The CSV file contains the locations as grid references, whereas the zip file contains the data in Shapefile format.</p>
Kaneohe Bay Nutrient Data 2014-2016
<p>Nutrients were analyzed from surface waters at 4 sites in Kanoehe Bay at time points from 2014-2016. Quantification of phosphate, silicate, nitrate and nitrite, ammonia and total nitrogen (all are in umol/L) were conducted by the SOEST Laboratory for Analytical Biochemistry.</p>
Warming effects of spring rainfall increase methane emissions from thawing permafrost: Site-level data from bog complex I - Water Table Depth 2014-2016
Methane emissions regulate the near-term global warming potential of permafrost thaw, particularly where loss of ice-rich permafrost converts forest and tundra into wetlands. Northern latitudes are expected to get warmer and wetter, and while there is consensus that warming will increase thaw and methane emissions, effects of increased precipitation are uncertain. At a thawing wetland complex in Interior Alaska, we found that interactions between rain and deep soil temperatures controlled methane emissions. In rainy years, recharge from the watershed rapidly altered wetland soil temperatures, warming the top ~80 cm of soil in spring and summer, and cooling it in autumn. When soils were warmed by spring rainfall, methane emissions increased by ~30%. The warm, deep soils early in the growing season likely supported both microbial and plant processes that enhanced emissions. Our study identifies an important and unconsidered role of rain in governing the radiative forcing of thawing permafrost landscapes. All site-level data from the studied bog, eddy covariance and micrometeorological data referenced in the published manuscript are available in the LTER data repository. These data are related to the following data package: Surface carbon, water and energy fluxes measured by eddy covariance at 3 sites within the Alaska Peatlands Experiment and Bonanza Creek Experimental Forest 2013-2016 (http://dx.doi.org/10.6073/pasta/4fabab3846113a1866b06f1b3d6d52a3).
Warming effects of spring rainfall increase methane emissions from thawing permafrost: Site-level data from bog complex II - Carex Metrics 2014-2016
Methane emissions regulate the near-term global warming potential of permafrost thaw, particularly where loss of ice-rich permafrost converts forest and tundra into wetlands. Northern latitudes are expected to get warmer and wetter, and while there is consensus that warming will increase thaw and methane emissions, effects of increased precipitation are uncertain. At a thawing wetland complex in Interior Alaska, we found that interactions between rain and deep soil temperatures controlled methane emissions. In rainy years, recharge from the watershed rapidly altered wetland soil temperatures, warming the top ~80 cm of soil in spring and summer, and cooling it in autumn. When soils were warmed by spring rainfall, methane emissions increased by ~30%. The warm, deep soils early in the growing season likely supported both microbial and plant processes that enhanced emissions. Our study identifies an important and unconsidered role of rain in governing the radiative forcing of thawing permafrost landscapes. All site-level data from the studied bog, eddy covariance and micrometeorological data referenced in the published manuscript are available in the LTER data repository. These data are related to the following data package: Surface carbon, water and energy fluxes measured by eddy covariance at 3 sites within the Alaska Peatlands Experiment and Bonanza Creek Experimental Forest 2013-2016 (http://dx.doi.org/10.6073/pasta/4fabab3846113a1866b06f1b3d6d52a3).
Warming effects of spring rainfall increase methane emissions from thawing permafrost: Site-level data from bog complex III - Methene Flux 2014-2016
Methane emissions regulate the near-term global warming potential of permafrost thaw, particularly where loss of ice-rich permafrost converts forest and tundra into wetlands. Northern latitudes are expected to get warmer and wetter, and while there is consensus that warming will increase thaw and methane emissions, effects of increased precipitation are uncertain. At a thawing wetland complex in Interior Alaska, we found that interactions between rain and deep soil temperatures controlled methane emissions. In rainy years, recharge from the watershed rapidly altered wetland soil temperatures, warming the top ~80 cm of soil in spring and summer, and cooling it in autumn. When soils were warmed by spring rainfall, methane emissions increased by ~30%. The warm, deep soils early in the growing season likely supported both microbial and plant processes that enhanced emissions. Our study identifies an important and unconsidered role of rain in governing the radiative forcing of thawing permafrost landscapes. All site-level data from the studied bog, eddy covariance and micrometeorological data referenced in the published manuscript are available in the LTER data repository. These data are related to the following data package: Surface carbon, water and energy fluxes measured by eddy covariance at 3 sites within the Alaska Peatlands Experiment and Bonanza Creek Experimental Forest 2013-2016 (http://dx.doi.org/10.6073/pasta/4fabab3846113a1866b06f1b3d6d52a3).
Warming effects of spring rainfall increase methane emissions from thawing permafrost: Site-level data from bog complex IV - Soil Temperatures 2014-2016
Methane emissions regulate the near-term global warming potential of permafrost thaw, particularly where loss of ice-rich permafrost converts forest and tundra into wetlands. Northern latitudes are expected to get warmer and wetter, and while there is consensus that warming will increase thaw and methane emissions, effects of increased precipitation are uncertain. At a thawing wetland complex in Interior Alaska, we found that interactions between rain and deep soil temperatures controlled methane emissions. In rainy years, recharge from the watershed rapidly altered wetland soil temperatures, warming the top ~80 cm of soil in spring and summer, and cooling it in autumn. When soils were warmed by spring rainfall, methane emissions increased by ~30%. The warm, deep soils early in the growing season likely supported both microbial and plant processes that enhanced emissions. Our study identifies an important and unconsidered role of rain in governing the radiative forcing of thawing permafrost landscapes. All site-level data from the studied bog, eddy covariance and micrometeorological data referenced in the published manuscript are available in the LTER data repository. These data are related to the following data package: Surface carbon, water and energy fluxes measured by eddy covariance at 3 sites within the Alaska Peatlands Experiment and Bonanza Creek Experimental Forest 2013-2016 (http://dx.doi.org/10.6073/pasta/4fabab3846113a1866b06f1b3d6d52a3).
Deep Well transect plant-soil feedback experiment extrapolated biomass data (2014-2016)
This project was conducted from July 2014 to July 2016 to measure plant-soil feedbacks between black grama (Bouteloua eriopoda) and blue grama (Bouteloua gracilis) in patches of different historical stability along the Deep Well transect at the Sevilleta LTER.
Relationship between Channel Island Melospiza melodia (Song Sparrow) bill size and vegetation, seed extraction time, bite force, and climate (2014-2016)
<p>Inferring the environmental selection pressures responsible for phenotypic variation is a challenge in adaptation studies as traits often have multiple functions and are shaped by complex selection regimes. We provide indirect evidence that morphology of the multifunctional avian bill is primarily shaped by climate and thermoregulatory ability in <em>Melospiza melodia</em> (Song Sparrows) on the California Channel Islands. Our research builds on a study in Song Sparrow museum specimens that demonstrated a positive correlation between bill surface area and maximum temperature, suggesting a greater demand for dry heat dissipation in hotter, xeric environments. We sampled contemporary sparrow populations across three climatically distinct islands to test the hypotheses that bill morphology is influenced by habitat differences with functional consequences for foraging efficiency and is related to maximum temperature and, consequently, important for thermoregulation. Measurements of >500 live individuals indicated a significant, positive relationship between maximum temperature and bill surface area when correcting for body size. In contrast, maximum bite force, seed extraction time, and vegetation on breeding territories (a proxy for food resources) were not significantly associated with bill dimensions. While we cannot exclude the influence of foraging ability and diet on bill morphology, our results are consistent with the hypothesis that variation in Song Sparrows' need for thermoregulatory capacity across the northern Channel Islands selects for divergence in bill surface area.</p>
Modeling dynamic processes in the California ZEV market (2014-2016)
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Relationship between Channel Island Melospiza melodia (Song Sparrow) bill size and vegetation, seed extraction time, bite force, and climate (2014-2016)
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Freshwater Subtropical Ridge and Slough Wetland Metabolism, South Florida, USA: 2014-2016
How climate and habitat drive variation in aquatic metabolism in wetlands remains uncertain. To quantify differences in seasonal aquatic metabolism among wetlands, we estimated aquatic ecosystem metabolism (gross primary productivity, GPP; ecosystem respiration, ER; net aquatic productivity, NAP) in subtropical ridge and slough wetlands of the Florida Everglades from more than 2 years of continuously measured water column dissolved oxygen (DO), photosynthetically active radiation (PAR), water temperature, and water depth. GPP and ER were modeled from light, temperature, and water depth using non-linear minimization and maximum likelihood. Reaeration rates were estimated from wind speed. Dissolved oxygen was below saturation at all sites during both wet and dry seasons. Water depth interacted with vegetation to influence PAR, water temperature, and spatiotemporal patterns in aquatic metabolism. GPP and ER were highest at the slough with lowest submerged aquatic vegetation (low-SAV slough), intermediate in the sawgrass (Cladium jamaicense) ridge site, and lowest at the slough with lowest submerged aquatic vegetation (high-SAV slough). ER was strongly positively correlated with GPP at the sawgrass ridge and low-SAV slough sites. GPP increased with water temperature and PAR across all habitat types, whereas ER decreased (more respiration) with water temperature and PAR. NAP was negatively correlated with water temperature and positively correlated with PAR, suggesting that ER was more sensitive than GPP to water temperature. Aquatic metabolism was largely net heterotrophic in all wetlands, and high-SAV appeared to buffer seasonal variation in PAR and water temperatures that drive NAP in subtropical wetlands. Our results suggest that aquatic ecosystem metabolism in wetlands with seasonal hydrology is sensitive to changes in water depth and vegetation density that influence temperature and light. Expanding our understanding of how metabolic processes and carbon cycling in
Throughfall and rain event data, May-July 2014-2016, Hainich, Germany, project AquaDiva
<p>This dataset contains throughfall and gross precipitation data used for the analysis published in Metzger et al. (2017) and Fischer et al. (2023). It gives spatially distributed throughfall evaluated at a rain event scale covering the following periods:</p> <p>May 1 - July 26 2014</p> <p>May 9 - July 28 2015</p> <p>May 24 - August 02 2016</p> <p>The two enclosed files cover the collected throughfall at all sampling points per precipitation event, and the properties of each recorded precipitation event, containing also gross precipitation.</p> <p>The field site, sampling design data collection are described in Metzger et al. (2017) and used in Fischer et al. (2023). The sampling design is given in an associated published dataset Metzger and Hildebrandt (2023). For stemflow measurements on the same site during the same precipitation events, see dataset Metzger and Hildebrandt (2019), cited in Metzger et al. (2019).</p>
New active substances approved by EMA or FDA initially in 2014-2016, with approval date tracked until 2017
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ABoVE: Wildfire Carbon Emissions and Burned Plot Characteristics, NWT, CA, 2014-2016
This dataset provides estimates of wildfire carbon emissions and uncertainties at 30-m resolution, and measurements collected at burned and unburned field plots from the 2014 wildfire sites near Yellowknife, Northwest Territories (NWT), Canada. Field data were collected at 211 burned plots in 2015 and include site characteristics, tree cover and species, basal area, delta normalized burn ratio (dNBR), plot characteristics, soil carbon, and carbon combusted. Data were collected at 36 unburned plots with characteristics similar to the burned plots in 2016. The emission estimates were derived from a statistical modeling approach based on measurements of carbon consumption at the 211 burned field plots located in seven independent burn scars. Estimates include uncertainty of field observations of aboveground and belowground combustion, as well as prediction uncertainty from a multiplicative regression model. To apply the model across all 2014 NWT fire perimeters, the final model covariates were re-gridded to a common 30-m grid defined by the Arctic Boreal and Vulnerability Experiment (ABoVE) Project. The regression model was then applied to burned pixels defined by a threshold of Landsat-derived differenced Normalized Burn Ratio (dNBR) within fire perimeters. Derived carbon emissions and uncertainty in g/m2 are provided for each 30-m grid cell. The modeled NWT domain encompasses 29 tiles within the ABoVE 30-m reference grid system.
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International Brain Laboratory public data
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OpenNeuro
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