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Understanding apartment resident perceptions of coastal landscapes and adaptation options around the Minas Basin, Nova Scotia, 2023.
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Sherren, Kate; McWherter, Brooke; Howard, Samantha C — 2024-04-04 These data were collected through an online survey hosted on Qualtrics software. The survey was designed to understand perceptions and use of coastal landscapes, specifically dykes, dykelands, and tidal wetlands, along with perceptions of coastal adaptation options, among residents of the Minas Basin region of Nova Scotia, around the Bay of Fundy. Recruitment was conducted in November/December 2023 through a single Canada Post admail mailout of all apartment residents in Kings, Hants, Cumberland and Colchester counties (approximately n=9057) with a response rate of 1.9% (n=168), recognizing that undeliverables could not be tracked. Participants were rewarded with the option to enter to win a Tim Horton's or Irving gift card. Permission to make data public was a condition of participation, and all 'free text' questions have been removed to avoid the possibility of identification.
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Biodiversity in the Bay of Fundy Dykelands: Insights from Citizen Science Data
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Zhao, Qiqi; Cornejo, Lara; Manning, Paul; Sherren, Kate — 2023-08-11 In this work, we collected eBird and iNaturalist observations in the Upper Bay of Fundy area (around the Minas Basin) from 2016-2021 to explore the utility of citizen science datasets in spatially restricted landscapes like dykelands and tidal wetlands with scarce primary biodiversity data. This was done as a report to the NSERC Strategic Partnership Grants for Networks project called ResNet, as part of Landscape one of its six landscape case studies (https://www.nsercresnet.ca/landscape-1---bay-of-fundy.html). The short report (5 pages) briefly describes the results of the analysis, with relevant references, and the Technical Appendices (37 pages) include the analytical approaches, large versions of each map from the spatial analysis, as well as full species lists for each of the three two-year time slices taken.
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Canadian beef producer survey, 2020
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Sherren, Kate — 2022-02-08 These data were collected through an online panel-based survey. The survey was designed to better understand Canadian beef producers grazing practices (continuous, rotational or adaptive such as Holistic Management, Adaptive Multipaddock or regenerative grazing), their reported well-being, mindsets (management priorities, systems thinking, etc) and demographics. The panel was recruited and run by Kynetec which is a specialist agricultural polling firm, who recruited for the study from their proprietary Canadian Producer Database. The survey was stratified across the four largest beef-producing provinces, roughly proportionally to farm numbers: Alberta (n=85), Saskatchewan (n=45), Manitoba (n=35) and Ontario (n=35). No criteria were applied on the amount of beef production, and respondents could also have other commodities. However, all participants had to be over 18, either the sole or joint decision-maker on their property (not secondary), have beef as part of their gross farm sales in 2018, and they had to graze cattle rather than simply feed them. Participants were rewarded with $25. Confidence interval is estimated at 6.9%.The dataset contains two files: the study questionnaire (text) and survey responses (tabular).
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Understanding house residents perceptions of coastal landscapes and adaptation options around the Minas Basin, Nova Scotia, 2022.
Borealis
Howard, Samantha C; McWherter, Brooke; Sherren, Kate — 2024-02-08 These data were collected through an online survey hosted on Qualtrics software. The survey was designed to understand perceptions of coastal landscapes, specifically dykes, dykelands, and tidal wetlands, along with coastal adaptation options, specifically managed realignment and flood risk mapping, among residents of the Minas Basin region of Nova Scotia, around the Bay of Fundy. Recruitment was conducted through a multiple-reminder mailout of a simple random sample of the Nova Scotia Residential Dwelling Characteristics dataset (2022), rendering a response rate of 21%. Participants were rewarded with the option to enter to win one of twenty Tim Hortons or Irving Gas gift cards. Permission to make data public was a condition of participation, and all 'free text' questions have been removed to avoid the possibility of identification.
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Survey of perspectives surrounding publicly available flood risk mapping in Bridgewater and Liverpool, Nova Scotia
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Howard, Samantha C; Sherren, Kate — 2023-09-13 These data were collected in winter 2021 through an online survey hosted on Opinio software. The survey was designed to understand the perspectives of publicly available flood risk mapping for residents of the towns of Bridgewater and Liverpool, in the South Shore region of Nova Scotia. Recruitment was via Canada Post admail and a response rate of 2.2% (n=277). Participants were rewarded with the option to enter to win one of ten Tim Hortons gift cards. Permission to make data public was a condition of participation, and all 'free text' questions have been removed to avoid the possibility of identification. More details can be found in: Howard, S. C., & Sherren, K. (2023). Flood risk mapping in southwestern Nova Scotia: Perceptions and concerns. The Canadian Geographer / Le Géographe Canadien. https://doi.org/10.1111/cag.12836

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(Source Repository: Dalhousie University Dataverse) AND (Author: Sherren, Kate)

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