Search

University of Victoria Dataverse Logo
Quantifying groundwater’s contribution to regional environmental flows in diverse hydrologic landscapes (data)
Mohan, Chinchu; Gleeson, Tom; Forstner, Tara; Famiglietti, James S; de Graaf, Inge — 2022-07-05 Growing recognition of the importance of ecosystem services to the development and management of water resources has spurred the development and application of environmental flows requirements. Despite the importance of groundwater in maintaining the freshwater ecosystem, groundwater is seldom taken into consideration in environmental flows allocation and management. In this study we develop two methods for estimating groundwater contribution to environmental flows: 1) a groundwater-centric method and 2) a surface water-centric method. The two methods are demonstrated using the western province of Canada, British Columbia as a case study. The framework presented in this study can be implemented across different spatial and temporal scales for different regions and globally, in data-scarce, hydrologically complex landscapes. The application of these methods can aid in a robust and holistic assessment of environmental flows, taking into account the often missing groundwater component.
University of Victoria Dataverse Logo
2014 National Survey of Canadian Nurses
Canada Health Infoway; Canadian Nurses Association — 2019-03-05 This data set is a result of the first quantitative survey of Canadian nurses to explore their access to and use of digital health in nursing practice. It was a joint collaboration between the Canadian Nurses Association and Canada Health Infoway. Harris Decima, a third-party, vendor administered the online survey in collaboration with the Infoway and the CNA. https://www.infoway-inforoute.ca/en/component/edocman/resources/other/3120-dataverse-license-agreement (License Agreement) By downloading, accessing or using any part of the Datasets or exercising any rights granted under this Licence Agreement, User agrees to be bound by the terms of this Licence Agreement. Infoway may also require, at its sole discretion, that a hard copy of this Licence Agreement be signed by a duly authorized signatory of User.
University of Victoria Dataverse Logo
Second-order seasonal variability in diel vertical migration timing of euphausiids in a coastal inlet (supplemental data)
Sato, Mei; Dower, John F.; Kunze, Eric; Dewey, Richard — 2018-10-25 ************* VENUS ACOUSTIC DATA PACKAGE ************* <p> VERSION 1.0. April 2016. DOI: 10.18357/SatoM.2016.data01 <p> THE VENUS ACOUSTIC DATA PACKAGE ACCOMPANIES: <p> Sato, M., J.F. Dower, E. Kunze, and R. Dewey. 2013. Second-order seasonal variability in diel vertical migration timing of euphausiids in a coastal inlet. Marine Ecology Progress Series 480: 39-56. doi: 10.3354/meps10215 <p> It contains a copy of the processed acoustic data file exactly as used for this paper, as well as an example code (see below). Detailed analysis method was described in Sato et al. (2013). Original raw data are available through the Ocean Networks Canada. <p> When you use this VENUS Acoustic Data Package, please cite Sato et al. (2013) in addition to this data sets. We also ask you to acknowledge the Ocean Networks Canada for collecting data and maintaining the cabled observatory. <p> ********************** CONTENTS ********************** <p> 1. README.txt - Including a description of the data and the literature source. <p> 2. VENUS_Satoetal2013.mat - Volume backscattering strength (Sv in dB re 1 m^-1) data from 2008-Jun-01 through 2010-Jun-15 in UTC (1-min, 1-m averaged data), with corresponding time and depth variables. <p> 3. plot_dvm.m - Example code to reproduce Fig. 2b in Sato et al. (2013).
University of Victoria Dataverse Logo
Data from: Sedimentary organic matter shapes macrofaunal communities but not benthic nutrient fluxes in contrasting habitats along the Northwest Atlantic continental margin
Snelgrove, Paul; Miatta, Marta — 2021-08-18 This repository contains data on environmental variables, sedimentary organic matter, benthic nutrient fluxes and macrofaunal communities collected from 10 stations along the Northwest Atlantic continental margin sampled onboard the NOAA research vessel Henry B. Bigelow in June 2017 using the ROV ROPOS. Data were used to characterize patterns and drivers of organic matter remineralization, macrofaunal diversity, community composition, and biological trait expression in contrasting habitats (shelf, slope, submarine canyons and inter-canyon areas). The dataset includes the ReadMe (metadata) text file, and 5 data sheets (.csv).
University of Victoria Dataverse Logo
Compiling and mapping global permeability of the unconsolidated and consolidated Earth: GLobal HYdrogeology MaPS 2.0 (GLHYMPS 2.0). [Supporting Data]
Huscroft, J.; Gleeson, T.; Hartmann, J.; Börker, J. — 2018-10-25 The spatial distribution of subsurface parameters such as permeability are increasingly relevant for regional to global climate, land surface, and hydrologic models that are integrating groundwater dynamics and interactions. Despite the large fraction of unconsolidated sediments on Earth’s surface with a wide range of permeability values, current global, high-resolution permeability maps distinguish solely fine-grained and coarse-grained unconsolidated sediments. Representative permeability values are derived for a wide variety of unconsolidated sediments and applied to a new global map of unconsolidated sediments to produce the first geologically constrained, two-layer global map of shallower and deeper permeability. The new mean logarithmic permeability of the Earth’s surface is 12.7 ± 1.7m2 being 1 order of magnitude higher than that derived from previous maps, which is consistent with the dominance of the coarser sediments. The new data set will benefit a variety of scientific applications including the next generation of climate, land surface, and hydrology models at regional to global scales.
University of Victoria Dataverse Logo
2018 Canadian Digital Health Survey
Canada Health Infoway — 2021-01-18 The Canadian Digital Health Survey is a series of surveys conducted annually commissioned by Canada Health Infoway (Infoway) through a third-party vendor. Overall, the main objective of these surveys is to investigate interest and use of digital health technologies nation-wide. Data collection: The Nielsen Company conducted various iterations of Infoway’s national survey of Canadians on behalf of Canada Health Infoway upon which this report is based since year 2014 with a total of 3 waves. Respondents to the 2018 survey were from Harris Poll Online, Nielsen’s proprietary panel supplemented with sample from other Nielsen vetted partner panels. Fieldwork was conducted from March 29 April 26 2018. A total of n= 2 406 were sampled using Canadian general population proportions by age, gender and region/province. The margin of error is ± 2.0%. All surveys were administered online between February and March of their respective years and weighted to reflect the composition of the adult population in Canada by age, gender and province of residence.
University of Victoria Dataverse Logo
Data From: Percent ash-free dry weight as a robust method to estimate energy density across taxa
Weil, Jacob — 2019-10-28 Determining how energy flows through ecosystems reveals underlying ecological patterns that drive processes such as growth and food web dynamics. Models that assess the transfer of energy from producers to consumers require information on the energy content or energy density (ED) of prey species. ED is most accurately measured through bomb calorimetry, but this method suffers from limitations of cost, time and sample requirements that often make it unrealistic for many studies. Percent dry-weight (DW) is typically used as a proxy for ED, but this measure includes an indigestible portion (e.g. bones, shell, salt) that can vary widely among organisms. Further, several distinct models exist for various taxonomic groups, yet none can accurately estimate invertebrate, vertebrate and plant ED with a single equation. Here, we present a novel method to estimate the ED of organisms using percent ash-free dry weight (AFDW). Using data obtained from 11 studies diverse in geographic, temporal and taxonomic scope, AFDW, DW as well as percent-protein and percent-lipid were compared as predictors of ED. Linear models were produced on a logarithmic scale, including dummy variables for broad taxonomic groups. AFDW was the superior predictor of ED compared to DW, percent-protein and percent-lipid content. Model selection revealed that using correction factors (dummy variables) for aquatic animals (AA) and terrestrial invertebrates (TI) produced the best supported model – log10(ED) = 1.07*log10(AFDW) – 0.80 (R2 = 0.978, p<0.00001) – with an intercept adjustment of 0.09 and 0.04 for AA and TI, respectively. All models including AFDW as a predictor had high predictive power (R2>0.97), suggesting that AFDW can be used with high degrees of certainty to predict the ED of taxonomically diverse organisms. Our AFDW model will allow ED to be measured with minimal cost and time requirements and excludes ash-weight from estimates of digestible mass. Its ease of use will allow for ED to be more readily and accurately determined for diverse taxa across different ecosystems. This data file includes the original values and sources used to create the AFDW model.
University of Victoria Dataverse Logo
Dissolved and particulate silica concentrations and natural silicon isotope compositions of dissolved silica measured from seawater samples collected aboard the Sir Wilfrid Laurier in the Bering and Chukchi Seas and the Amundsen in the Canada Basin, Canadian Arctic Archipelago, Baffin Bay and Labrador Sea
Giesbrecht, Karina; de Souza, Gregory; Maden, Colin; Varela, Diana — 2022-05-19 This dataset includes biological, chemical and environmental data associated with marine biogenic silica dynamics collected along the flow path of Pacific-origin waters as they transit through the Arctic. Samples were collected on three cruises: onboard the Canadian Coast Guard Service (CCGS) Sir Wilfrid Laurier (one cruise covering the Bering and Chukchi Seas, Jul 2015), or the CCGS Amundsen (two cruises covering the Canada Basin, Canadian Arctic Archipelago, Baffin Bay and Labrador Sea, Jul-Aug 2015 and Sep 2015). On the CCGS Sir Wilfrid Laurier, seawater sampling was conducted throughout the euphotic zone within (or near) four biological ‘hotspots’ in the northern Bering and Chukchi Seas, as identified by the Distributed Biological Observatory (DBO). On the CCGS Amundsen, seawater sampling was conducted throughout the water column at locations identified as part of the Canadian Arctic GEOTRACES program. Data includes: seawater temperature and salinity, silicic acid, biogenic silica, and lithogenic silica concentrations, and the natural silicon isotopic composition of silicic acid. Data are organized by row, with each row representing a single depth.
University of Victoria Dataverse Logo
A decade (2006-2016) of summertime oceanographic nutrient, chlorophyll, particulate carbon and nitrogen, and phytoplankton productivity data measured from water samples collected aboard the Sir Wilfrid Laurier in the Bering and Chukchi Seas.
Giesbrecht, Karina; Varela, Diana — 2020-12-15 This dataset includes biological, chemical and environmental data associated with phytoplankton biomass and productivity collected on eight oceanographic cruises in the Pacific Arctic Region onboard the Canadian Coast Guard Service Sir Wilfrid Laurier. Samples were collected on cruises that occurred in July of 2006, 2008 and yearly from 2011 to 2016. Seawater sampling was conducted throughout the euphotic zone within (or near) five biological ‘hotspots’ in the northern Bering and Chukchi Seas, as identified by the Distributed Biological Observatory (DBO). Data includes concentrations of nutrients (Nitrate+Nitrite, Phosphate), total (>0.7 micron) and size-fractionated (>5 micron) chlorophyll-a, and particulate carbon and nitrogen. Also included are measurements of carbon and nitrate uptake rates from 24-hr dual-tracer carbon-13 and nitrogen-15 incubation experiments. Data are organized by row, with each row representing a single sampling depth, or the euphotic zone depth-integrated value.
University of Victoria Dataverse Logo
Data from: Genome-wide evidence of environmentally mediated secondary contact of European green crab (Carcinus maenas) lineages in eastern North America
Jeffery, NW; Bradbury, IR; Stanley, RRE; Wringe, BF; Van Wyngaarden, M; Lowen, JB; McKenzie, CH; Matheson, K; Sargent, PS; DiBacco, C — 2019-08-02 Genetic-environment associations are increasingly revealed through population genomic data and can occur through a number of processes, including secondary contact, divergent natural selection, or isolation-by-distance. Here we investigate the influence of the environment, including seasonal temperature and salinity, on the population structure of the invasive European green crab (Carcinus maenas) in eastern North America. Green crab populations in eastern North America are associated with two independent invasions, previously shown to consist of distinct northern and southern ecotypes, with a contact zone in southern Nova Scotia, Canada. Using a RAD-seq panel of 9137 genome-wide SNPs, we detected 41 SNPs (0.49%) whose allele frequencies were highly correlated with environmental data. A principal components analysis of 25 environmental variables differentiated populations into northern, southern, and admixed sites in concordance with the observed genomic spatial structure. Furthermore, a spatial principal components analysis conducted on genomic and geographic data revealed a high degree of global structure (p<0.0001) partitioning a northern and southern ecotype. Redundancy and partial redundancy analyses revealed that among the environmental variables tested, winter sea surface temperature had the strongest association with spatial structuring, suggesting that it is an important factor defining range and expansion limits of each ecotype. Understanding environmental thresholds associated with intraspecific diversity will facilitate the ability to manage current and predict future distributions of this aquatic invasive species.
University of Victoria Dataverse Logo
Replication data: mapping and remote sensing of Hul'qumi'num culturally important seaweeds in the Salish Sea
Baker, Jack; Thom, Brian — 2021-11-22 Drone imagery for Cordova Bay and Porlier Pass Two study sites in the Salish sea were surveyed using Unoccupied Aerial Vehicle (UAV) techniques: ȾEL,IȽĆ and St’utl’qulus. The overall accuracies of the UAV imagery classifications and the particular accuracies of the class representing lhuq’us suggest that UAV technologies paired with Google Earth Engine (GEE) object based image analysis (OBIA) methodologies can effectively detect lhuq’us. Lhuq’us (the Hul’q’umi’num’ language term for pohrpyra/pyropia spp. (commonly known as red laver or black gold)) is a flavourful and nutritious intertidal seaweed that grows on rocky beaches across the Pacific Northwest. Hul’q’umi’num’ language, cultural values, teachings, and family histories are all interwoven into the harvesting and consumption of lhuq’us in Hul’qumi’num territories. There are serious concerns and cultural values and practices deeply interconnected with culturally important species like lhuq’us.
University of Victoria Dataverse Logo
Data from: A climate-associated multi-species cryptic genetic cline in the northwest Atlantic"
Stanley, Ryan — 2019-08-02 This is supplementary environmental data used in environmental population structure analyses: "A climate-associated multi-species cryptic genetic cline in the northwest Atlantic" This data is described in the methods as: Temperature and salinity data were aggregated to seasonal climatological data (averaged across 2002-2012) layers, effectively corresponding with winter (January – March), spring (April – June), summer (July – September), and fall (October – December). Seasonal sea surface temperature (SST) and sea surface salinity (SSS) were assembled at spatial resolutions interpretable to 1 km2 from Level 3 SST climatological satellite data, including Advanced Very High Resolution Radiometer data (AVHRR Atlantic; compiled by Fisheries and Oceans Canada) and global oceanographic climatological SSS composites (Tyberghein et al. 2012). Benthic temperature and benthic salinity climatological data layers were assembled at spatial resolutions interpretable to 8 km2 from a numerical climatological model (GLORYS2V1) adapted to the study area by Fisheries and Oceans Canada. We represented topographic complexity of the seafloor (interpretable to 1 km2) by east-west and north-south components of aspect, slope, plan and profile curvature, and rugosity (Sbrocco & Barber 2013). These data layers were used as predictive surfaces for each of the five species native to the range (Table 1). From these data layers, we extracted point estimates of each environmental variable for each genetic sample location to evaluate genetic-environmental relationships. This dataset represents these point estimates.
University of Victoria Dataverse Logo
Poor correlation between large-scale environmental flows violations and global freshwater biodiversity: implications for water resource management and the water planetary boundary
Mohan, Chinchu; Gleeson, Tom; Famiglietti, James S; Virkki, Vili; Kummu, Matti; Porkka, Miina; Wang-Erlandsson, Lan; Huggins, Xander; Gerten, Dieter; Jähnig, Sonja C — 2022-07-12 The freshwater ecosystems all over the world are degrading, such that maintaining environmental flow (EF) in river networks is critical to their preservation. The relationship between streamflow alterations and, respectively, EF violations, and freshwater biodiversity is well established at the scale of stream reaches or small basins (~<100 km²). However, it is unclear if this relationship is robust at larger scales even though there are large-scale initiatives to legalize the EF requirement and EFs have been used in assessing a planetary boundary for freshwater. Therefore, this study intends to evaluate the relationship between EF violation and freshwater biodiversity at large basin scale (median area = 19,600 km2), globally-aggregated scales, and at freshwater ecoregions, and test the prevailing assumption of scalability of this relationship. Four EF violation indices (severity, frequency, the probability to shift to violated state, and probability to stay violated) and nine independent freshwater biodiversity indicators (calculated from observed biota data except one empirically derived from streamflow deviation) were used for correlation analysis. EF violations showed an inverse relationship with the streamflow-derived biodiversity indicator (MSAhy) at the level 5 HydroBASIN scale. However, no statistically significant negative relationship between environmental flows and freshwater biodiversity was found at the global or ecoregion scale except between the streamflow-derived biodiversity indicator (MSAhy) and all EF violation indices. While our results thus suggest that streamflow and EF may not be the main determinants of freshwater biodiversity, they do not preclude the existence of relationships with more holistic EF methods (e.g. including water temperature, water quality, intermittency, connectivity, etc.) or with other biodiversity data or metrics.
University of Victoria Dataverse Logo
Predicting groundwater recharge for varying land cover and climate conditions – a global meta-study (data)
Mohan, Chinchu; Western, Andrew W.; Wei, Yongping; Saft, Margarita — 2022-07-12 Groundwater recharge is one of the important factors determining the groundwater development potential of an area. Even though recharge plays a key role in controlling groundwater system dynamics, much uncertainty remains regarding the relationships between groundwater recharge and its governing factors at a large scale. Therefore, this study aims to identify the most influential factors of groundwater recharge, and to develop an empirical model to estimate diffuse rainfall recharge at a global scale. Recharge estimates reported in the literature from various parts of the world (715 sites) were compiled and used in model building and testing exercises. Unlike conventional recharge estimates from water balance, this study used a multimodel inference approach and information theory to explain the relationship between groundwater recharge and influential factors and to predict groundwater recharge at 0.5∘ resolution. The results show that meteorological factors (precipitation and potential evapotranspiration) and vegetation factors (land use and land cover) had the most predictive power for recharge. According to the model, long-term global average annual recharge (1981–2014) was 134 mm yr−1 with a prediction error ranging from −8 to 10 mm yr−1 for 97.2 % of cases. The recharge estimates presented in this study are unique and more reliable than the existing global groundwater recharge estimates because of the extensive validation carried out using both independent local estimates collated from the literature and national statistics from the Food and Agriculture Organization (FAO). In a water-scarce future driven by increased anthropogenic development, the results from this study will aid in making informed decisions about groundwater potential at a large scale. Data is provided in netcdf and .mat (matlab) formats
University of Victoria Dataverse Logo
Lipid Transfers in the Canadian Arctic
Marmillot, Vincent — 2022-05-20 <b>Methodology</b><br>The sampling for this dataset took place during summer 2016 between July 29 and October 2. A total of 44 stations were sampled aboard the Canadian icebreaker CCGS Amundsen in different regions of the Canadian Arctic such as Baffin Bay, Nares Strait, Northwest passage, Beaufort Sea and Labrador Sea. Zooplankton was collected with a 1-m2 aperture, 4.5-m long, conical-square plankton net with 200-um mesh size. The samples were subdivided using a Motoda splitting box. The first halves were stored with 4% formaldehyde seawater solution for further count and identification. In the second halves, macrozooplankton were removed and subdivided by size fractioning with a 750 µm mesh in order to select the largest Calanus copepods. The fraction was then subdivided using the Motoda splitting box until reaching ca 1000 mg which was deposited on a pre-burned GF/C filter and stored in pre-burned aluminium foil at -80°C until lipid analysis. The carbon content of copepod species was estimated based on the length-mass relationships established by Forest et al. (2011). At each station, 12L of water was collected at the surface and at the subsurface chlorophyll maximum in Niskin-type bottles mounted on a rosette sampler. A set of probes was used to measure the physico-chemical parameters of seawater. The pH of seawater was measured with a spectrophotometer, nutrient data were analyzed aboard from fresh samples, an aliquot was preserved in Lugol acid for taxonomic analysis and seawater filtration(3L) was conducted for further analyses of lipid contents. Phase separation methods with chloform:methanol:water was used for lipid extractions and lipid classes and fatty acid was determined using thin-layer chromatography and gas chromatography with flame ionization detection.
University of Victoria Dataverse Logo
Ten years (2006-2016) of oceanographic temperature, salinity, pressure, density and dissolved oxygen data from the Saanich Inlet cabled observatory
Ocean Networks Canada — 2019-04-30 Ocean Networks Canada (ONC) operates several cabled ocean observatories in the Pacific and Arctic oceans. Along the southern coast of British Columbia, ONC maintains a cabled array and instrument platform at a depth of roughly 100m in Saanich Inlet, a fjord on Vancouver Island. The instrument platform was deployed in February 2006 and has been maintained continuously since then. The core oceanographic instrument on the Saanich Inlet instrument platform is an industry standard pumped Conductivity, Temperature, and Depth (CTD) suite of sensors, including sensors to measure the concentration of dissolved Oxygen. These data are used to generate time series of seawater temperature, salinity, pressure, and dissolved oxygen. Over the duration of the time series, the pumped CTD has generally sampled at one-minute intervals, varying slightly during maintenance and servicing periods. These data have been inspected, passed through various data quality checks (e.g. consistent with QARTOD standards), and averaged into one-hour uniform samples. This data set represents the first ten years (February 2006 through February 2016) of water property data from the Saanich Inlet cabled observatory. Instruments are re-calibrated on an annual basis. Comparison to and validation against periodic ship based CTD profile data indicates the observatory time series are highly representative of the oceanographic conditions in Saanich Inlet, but are sufficient to resolve rapid and long-term variations not accessible by any other means.

Map search instructions

1.Turn on the map filter by clicking the “Limit by map area” toggle.
2.Move the map to display your area of interest. Holding the shift key and clicking to draw a box allows for zooming in on a specific area. Search results change as the map moves.
3.Access a record by clicking on an item in the search results or by clicking on a location pin and the linked record title.
Note: Clusters are intended to provide a visual preview of data location. Because there is a maximum of 1000 records displayed on the map, they may not be a completely accurate reflection of the total number of search results.

(Source Repository: University of Victoria Dataverse)

Limit by:

Clear all

to