Kidd, Karen;
Graves, Stephanie;
McKee, Graydon;
Podemski, Cheryl
—
2020-03-23
Cocoon counts for Lakes 260, 373, and 442 on each sampling date (2000-2002)
Résultats de recherche
Kidd, Karen;
Graves, Stephanie;
McKee, Graydon;
Podemski, Cheryl
—
2020-03-23
Cocoon counts for Lakes 260, 373, and 442 on each sampling date (2000-2002)
Kidd, Karen;
Graves, Stephanie;
McKee, Graydon;
Podemski, Cheryl
—
2020-05-12
Condition calculations for all leaches other than those of Haemopis marmorata
Kidd, Karen;
Graves, Stephanie;
McKee, Graydon;
Podemski, Cheryl
—
2020-05-12
Proportion of the leech community made up by each species in each lake before and after EE2 treatment (1999-2000)
Kidd, Karen;
Graves, Stephanie;
McKee, Graydon;
Podemski, Cheryl
—
2020-05-12
R code used in statistical analyses and plotting for ELA EE2 Leech Paper
SEAL Lab, McMaster
—
2020-10-02
T3010 Canadian Charities Returns. Includes information about charities and public/private foundations, financial information, trustees and financial transactions between non-profits. The Data Dictionary provides information about variables and other supporting information. A README file explains how to get access to the restricted files which contain the actual data in CSV and Stata formats.
Negrazis, Lauren;
Kidd, Karen A.;
Erdozain, Maitane;
Emilson, Erik;
Mitchell, Carl;
Gray, Michelle
—
2022-07-15
This dataset contains the data used in the paper "Effects of forest management on mercury bioaccumulation and biomagnification along the river continuum." The dataset contains stable isotope data and total or methyl mercury concentrations collected on water, course particulate organic matter (CPOM), fine particulate organic matter (FPOM), seston, biofilm, invertebrates, and fish. These data were collected to study the effects of forest management on mercury bioaccumulation and biomagnification in food webs along a stream continuum.
Alsubheen, Sanaa
—
2023-03-13
This dataset includes all the supplemental materials for our new systematic review titled: Measurement properties and cross-cultural adaptation of the De Jong Gierveld loneliness scale in adults: A systematic review
AlShenaiber, Leena;
Tam, Audrey;
Fraschetti, Ariana;
Houpt, Noah
—
2017-12-08
Wiley, Elise;
Tang, Ada
—
2024-02-14
This submission includes the data from the Gender differences in exercise self-efficacy and outcome expectations for exercise in individuals with stroke study (GRIPS) study. The related publication can be found in the journal Plos One. The corresponding data has been uploaded via an Excel Spreadsheet.
Weir, Ellie
—
2024-02-14
This dataset accompanies a paper submitted to Environmental Toxicology and Chemistry titled "Microparticles in Wild and Caged Biota, Sediments and Water Relative to Large Municipal Wastewater Treatment Plant Discharges". This study examined whether microparticle levels in resident fish, environmental samples, and caged organisms were elevated near the Waterloo and Kitchener WWTP outfalls along the Grand River, Ontario, Canada. All sampling for this work was done in October 2019. This dataset includes sample information for biotic and abiotic samples collected from the Grand River, a list of microparticles isolated from samples (including particle colour, morphology, and measurements), and information on chemical composition for a subset of particles.
Arain, M. Altaf
—
2014-08-21
<p>The ON-TP39 site, also known as the CA-TP4 on Global Fluxnet and ON-WPP39 in some of the Fluxnet-Canada Research Network (FCRN)/Canadian Carbon Program (CCP) publications.</p> <p>ON-TP39 is the mature eastern white pine (Pinus strobusL.) forest of the Turkey Point Flux Station. It was planted in 1939 (ON-TP39) on cleared oak-savannah land. Meteorological data collection was started in late autumn 2001 and flux measurements were started in June 2002. The data set documented here includes carb
on, water and energy fluxes and meteorological and soil measurements.
</p> <p>A unique aspect of Turkey Point Flux Station is its geographic location between the boreal and the broadleaf deciduous forest transition zone. It provides an excellent opportunity to investigate and quantify the strength of the carbon sink or source for planted temperate conifer forests, and its sensitivity to seasonal and annual climate variability. Also white pine is an important species in the North American landscape, because of its ability to adapt to dry environments. It grows eff
iciently on nutrient poor, dry, sandy soils. Generally, it is the first woody species to flourish after a disturbance such as fire or clearing and over longer time periods helps more native forest species to establish through succession. White pine trees can live for about 350–400 years and their height may reach up to 45–60 m. These characteristics make white pine a preferred plantation (afforestation) species in eastern North America.
</p> <p>Fluxes, meteorological and soil measurement conducted at this site help us to explore carbon sequestration potential of chronosequence of planted or afforested white pine stands in southern Ontario. The main objectives are (i) to make year-round measurements of energy, water vapour and carbon dioxide (CO2) fluxes and other meteorological variables over mature, middle-aged, young and seedling white pine plantation forests (established in 1939, 1974, 1989 and 2002) (ii) to relate gross ph
otosynthesis and respiration of this stand to environmental factors (iii) determine the effects of seasonal and inter-annual climate variability on net ecosystem produc
tivity, and to better understand the processes of production, storage and transport of soil CO2 and (iv) use these data to further improve process-based photosynthesis and respiration models.
</p>
Borealis
Loomer, Heather A.;
Kidd, Karen A.;
Erdozain, Maintane;
Benoy, Glenn A.;
Chambers, Patricia A.;
Culp, Joseph
—
2021-03-08
GIS, water chemistry, community, biomass, nutrient content, and nitrogen isotope data collected for the research article <u>Stream macroinvertebrate community responses to an agricultural gradient alter consumer-driven nutrient dynamics</u>
Borealis
Kidd, Karen A.;
Robson, Emily
—
2024-10-25
This dataset accompanies a paper submitted to Environmental Toxicology and Chemistry titled "Spatial patterns of microplastics in freshwater bivalves (Bivalvia: Unionidae and Sphaeriidae) relative to municipal wastewater effluent discharges.". This study examined whether microparticle levels in resident mussels and fingernail clams and water samples were elevated downstream of wastewater treatment plant facilities in the communities of Hespeler, Ayr, and Caledonia along the Grand River, Ontario, Canada. All sampling for this work was done in August through September of 2021 and September of 2022. This dataset includes sample information for biotic and abiotic samples collected from the Grand River, a list of microparticles isolated from samples (including particle colour, morphology, and measurements), and information on chemical composition for a subset of particles.
Borealis
Jurek, Kolasa
—
2024-10-04
The purpose of this data set was to aid in testing hypotheses about the role of habitat fragmentation on biodiversity. The common view is that habitat fragmentation leads to decreased species diversity. Some observations and theoretical considerations leave other options open that need material investigation. Modeling the complex processes is one of the approaches.
The data set contains the output of a metacommunity (a collection of species communities connected by dispersal) object-based NetLogo model simulating biodiversity dynamics in landscapes consisting of habitat patches of three different sizes. Landscapes with small, medium, and large virtual patches were inoculated with 50 species of different traits. The patches differed in their suitability for the species, and species were limited to the range of habitats they could use. Their subsequent dynamics over 500 generations (model steps) led to some species surviving and some going extinct. Most variables used random values for patch location, its suitability value, species specialization, reproduction, and movement. The simulations were replicated ten times for each landscape type. The number of surviving species after 500 generations served as input data for answering questions about which habitat type supported species diversity best and under what circumstances. In addition to the number of species, the model kept track of the population sizes, number of species in different habitat types, and species types classified by their ecological specialization. Specifically, the data are organized in seven variables with 150 rows: three landscapes * five habitat suitability categories * ten replicates. For each habitat suitability class, the variables contain a total number of individuals of all species, the number of species present in each habitat class, and a mean connectivity among all the patches in a landscape. The data set also provides the NetLogo code for the simulation and information on how to use it, including publications with more details.
Borealis
Ju, K. Sally
—
2024-05-01
This dataset accompanies a paper published in Canadian Journal of Fisheries and Aquatic Sciences titled "Effects of spruce budworm defoliation on in-stream algal production and carbon use by food webs". This study examined whether forest defoliation by spruce budworm changed the algal productivity and autochthonous (in-stream) energy supporting macroinvertebrate and fish consumers (using δ13C, δ15N) in twelve streams in Gaspé Peninsula, Québec, Canada, that ranged in watershed defoliation. All sampling for this work was done in summer and fall of 2019 and 2020. This dataset includes landscape data for each stream, sample information for biotic and abiotic samples collected from these streams, stable carbon and nitrogen isotope data for the biological samples, results from the mixing models, water chemistry data, and measures of algal production.
Borealis
Li, Yiyao;
Han, Daorui;
Rogers, Cheryl;
Finkelstein, Sarah;
Hararuk, Oleksandra;
Waddington, James;
Barreto, Carlos;
Mclaughlin, James;
Snider, James;
Gonsamo, Alemu
—
2024-07-18
This dataset contains ground-measured peat depth and maps with the spatial distribution of peat depth, carbon stock and uncertainty in the Hudson Bay Lowlands, Ontario, Canada. The ground-measured peat depth data was collected by a Russian-type peat corer from 32 sites in 3 groups spanning from 51oN to 55oN in July and September 2022. The version 1 maps were produced in the Remote Sensing Lab, McMaster University, on March 2024. To generate the peat depth map, we used 495 peat depth records from Ontario Ministry of Natural Resources and Forestry data archive, topographic information, long-term satellite observations of land surface temperature, greenness, and polarization signatures in Synthetic-Aperture Radar (SAR) as well as machine learning models. Data was trained using multi machine learning algorithms. Based on the Root Mean Squared Error (RMSE) derived from 10-fold cross-validation, four models were selected for further prediction, including Gradient Boosting Machine (GBM), Deep Learning, Distributed Random Forest (DRF) and Extreme Gradient Boosting (XGBoost). For the final peat depth map, a second-level “meta-learner’ called stacked regression was applied to find an optimal combination of the 4 base models. Here we used generalized linear model (GLM) during the stacking process to map peat depth for the entire HBL. The uncertainty was estimated as ± one standard deviation around the mean estimates of all base models. The carbon stock map was estimated based on empirical relationship between the estimated peat depth and C stock.
Borealis
Erdozain, Maitane;
Kidd, Karen;
Emilson, Erik;
Capell, Scott;
Luu, Taylor;
Kreutzweiser, Dave;
Gray, Michelle
—
2020-08-21
Catchment explanatory variables (harvest intensity, roads, forest structure/composition, slope...) and abiotic (sediment deposition, water temperature, water chemistry, dissolved organic matter quality) and biotic (leaf decomposition, biofilm, macroinvertebrates, sculpin) indicators of stream condition measured in six sites along the river network within three basins ranging in forest management intensity (intensive, extensive, minimal) in New Brunswick in 2017 and 2018.
Borealis
Charbonneau, Kelli;
Kidd, Karen;
Kreutzweiser, David;
Sibley, Paul;
Emilson, Erik;
O'Driscoll, Nelson;
Gray, Michelle
—
2022-03-01
Catchment explanatory variables (catchment area, % harvest, logging road density, etc.) and response variables (dissolved organic matter quality, autochthony of a primary consumer as determined using hydrogen stable isotopes, and mercury in water and a primary consumer) measured at 12 to 13 streams along a longitudinal gradient in paired reference and harvested catchments in Ontario in 2016 and 2017.
Borealis
Kidd, Karen;
Graves, Stephanie;
McKee, Graydon;
Podemski, Cheryl
—
2020-05-12
Measured organs dissected from Haemopis marmorata captured during the study (1999-2002)
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