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City of Edmonton Open Data Portal Translation missing: fr.blacklight.search.logo
Insight Community App - Edmonton Insight Community
— 2015-08-05 This was one single topic among many as part of the July 2015 Mixed Topic survey. Test link to view these questions: https://www.edmontoninsightcommunity.ca/R.aspx?a=417&t=1. Open from July 13 - 21, 2015. At the time the survey was launched survey invitations were sent to 3130 Insight Community Members. 1296 members completed the survey which represents a completion rate of 41%. A total of 1348 respondents completed the survey: 1296 Insight Community Members and 52 using the anonymous link which will have no demographic info.
City of Edmonton Open Data Portal Translation missing: fr.blacklight.search.logo
2016 Census - Population by Highest Educational Attainment (Neighbourhood/Ward)
— 2016-10-14 All Census information is as of April 1, 2016. No data on any individual residence will be released. To protect the privacy of individuals, data is compiled and presented at the city, ward and neighbourhood level only. Neighbourhood results with a population under 50 are not posted to protect the information collected. Responses are voluntary consequently response rates vary among questions, neighbourhoods and wards.
City of Calgary Open Data Portal Translation missing: fr.blacklight.search.logo
Non permanent streams
— 2018-07-12 This digital data set identifies, maps, and classifies ephemeral and intermittent streams in Calgary. This data set is intended for mapping at scales between 1:5,000 and 1:50,000, for the purpose of higher-level analysis and planning, or as a starting point to locate areas of interest to focus more detailed field work and surveys. Please note that the data is not intended to replace or supercede existing requirements during the process of planning, subdivision, and development, including field investigations. For further details and definitions, please refer to the attached user guide. https://data.calgary.ca/d/Open-Data-Terms/u45n-7awa
City of Calgary Open Data Portal Translation missing: fr.blacklight.search.logo
Central Business District Cordon Count 2018
— 2018-10-17 Every year in May, The City conducts the Central Business District (CBD) cordon count. The cordon count is performed at 31 locations around the CBD over a four week time period, collecting data on how people travel into and out of downtown Calgary. The CBD cordon circles the downtown with the Bow River to the north and the railway tracks to the south and from 11 Street in the west to the Elbow River in the east. These data represent the total number of persons entering (inbound) and exiting (outbound) at each location, by modes, during a 16 hour time period. This raw dataset is NOT normalized to average weekday. It is a snapshot of the inbound and outbound activity on a single day at these locations and reflects conditions specific to that day such as construction, lane closures, weather, etc. Therefore, data may not be directly comparable between locations or years. *Attachment is a summary of the inbound and outbound totals and mode of travel.* For additional information see <a href="http://www.calgary.ca/Transportation/TP/Pages/Planning/Transportation-Data/Central-Business-District-Cordon-Count.aspx">Central Business District Cordon Count</a>. https://data.calgary.ca/d/Open-Data-Terms/u45n-7awa
Open Ottawa Translation missing: fr.blacklight.search.logo
Library Loans (Physical Material Circulation) - 2019
— 2020-02-05 <span style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'>Annual Loan transactions for selected Item and Customer Categories in 2019.</span><br /><br /><strong>Accuracy</strong><span style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'>: Includes a subset of total circulation; only includes physical loans and renewals for Adult, Young Adult, and Children profiles.</span><br /><br /><strong>Update Frequency</strong><span style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'>: Data will be updated on an annual basis. </span><br /><div style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><br /></div><div style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><b>Attributes: </b>  </div><div style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><br />• Location<br /><br />• User Profile<br /><br />• Home Location (Collection)<br /></div><div style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><br /><strong>Contact</strong>: <a href='mailto:Stephen.mcallister@biblioottawalibrary.ca' rel='nofollow ugc' style='color:rgb(0, 121, 193); text-decoration-line:none; font-family:inherit;'>Stephen McAllister</a></div>
City of Edmonton Open Data Portal Translation missing: fr.blacklight.search.logo
Edmontonians' Perception Survey - Overall Quality Of Life
— 2015-09-11 In 2014, the City of Edmonton contracted Leger to conduct a survey of Edmontonians designed to understand perceptions on key measures relating to the quality of life in Edmonton. This research is aimed at capturing citizen perception based performance measures which feed into the corporate performance reporting to achieve the City’s vision for 2040 (The Way Ahead). In recent years, Citizen Perception Surveys have been carried out annually to gather data and report on the measures. Taking into account the recent modifications in performance measures as well as the focus on continuous improvement, the 2014 research was designed to: - Measure the progress with respect to the key performance measures - Understand the drivers of the performance measures and provide recommendations about how the measures can be further improved. - Make comparisons with past measures wherever applicable
City of Edmonton Open Data Portal Translation missing: fr.blacklight.search.logo
Map View: Orthophoto Repository 2020
— 2021-04-20 Spectral resolution: Colour (3-band) Spatial resolution: 7.5 cm Image acquisition date: May - July 2020 Individual GeoTIFF files (~286MB each) may be downloaded via the Google Drive links provided in the dataset. The city-wide ECW file (~25GB) may be downloaded from https://drive.google.com/drive/folders/1Kp1Vi6dfYYoznUtuEbBnpzTqJYa-nCrn?usp=sharing.
Other Borealis Collections Translation missing: fr.blacklight.search.logo
#cdnpoli tweets (Canadian Politics, 2015)
— 2016-01-18 Tweet IDs for tweets carrying the #cdnpoli hashtag, applied to Canadian politics, collected as part of a larger project centered on Canada's 42nd federal election. Tweets IDs can be hydrated using Ed Summers' twarc (https://github.com/edsu/twarc). Hydrating will recreate the original tweet(s) in json format, provided the content is still available on Twitter.
Other Borealis Collections Translation missing: fr.blacklight.search.logo
Niagara (East) Ontario. 1:50,000. Map Sheet 030M03, ed. 3, 1955
— 1955-01-01 This is a georeferenced raster image of a printed paper map of the Niagara, Ontario region (Sheet No. 030M03), published in 1955. It is the third edition in a series of maps, which show both natural and man-made features such as relief, spot heights, administrative boundaries, secondary and side roads, railways, trails, wooded areas, waterways including lakes, rivers, streams and rapids, bridges, buildings, mills, power lines, terrain, and land formations. This map was published in 1955 and the information on the map is current as of 1955. Maps were produced by Natural Resources Canada (NRCan) and it's preceding agencies, in partnership with other government agencies. <b>Please note:</b> image / survey capture dates can span several years, and some details may have been updated later than others. Please consult individual map sheets for detailed production information, which can be found in the bottom left hand corner. Original maps were digitally scanned by McGill Libraries in partnership with Canadiana.org, and georeferencing for the maps was provided by the University of Toronto Libraries and Eastview Corporation. EPSG Code: NAD27 / UTM zone 17N (EPSG:26717)
City of Calgary Open Data Portal Translation missing: fr.blacklight.search.logo
Secondary Suites Approved Annually
— 2021-07-29 This dataset contains information about approved secondary suites in The City of Calgary. It can be viewed on an interactive map at http://secondarysuites.calgary.ca/ https://data.calgary.ca/stories/s/u45n-7awa/
City of Calgary Open Data Portal Translation missing: fr.blacklight.search.logo
Water Pressure Zones
— 2021-04-13 Water pressure zone boundaries are subject to change due to new development in green field areas. For more information on water pressure zones, please visit: <a href="https://www.calgary.ca/uep/water/drinking-water/water-quality/water-pressure.html">Water pressure in Calgary</a> https://data.calgary.ca/d/Open-Data-Terms/u45n-7awa
Other Borealis Collections Translation missing: fr.blacklight.search.logo
Global Warming and Arctic Marine Mammals (GWAMM)
— 2012-10-17 The GWAMM project has developed a Community-Based Monitoring (CBM) network within the greater Hudson Bay region. Our goal was to monitor marine ecosystem change using apex predators but also to understand the drivers of change. Results provided policy information required to allow northerners the ability to adapt to the environmental changes. During the Inuit subsistence hunts of 2007, the network relied on Arviat and Sanikiluaq community involvement. In 2008 and 2009, we expanded the network to include the communities of Repulse Bay and Igloolik, respectively. Partnering with northerners provided whale and seal tissue samples from hunts as well as a collection of prey species representing parts of the marine environment. A reference collection of samples from the complete food web was developed and used to build a model of trophic interactions from marine mammals down to nutrients and phytoplankton. GWAMM is also a network project that links to other marine mammal research projects in the region including satellite-telemetry movement studies of polar bears, seals, and whales, and photo-identification of bowhead and killer whales, and use of chemical signals to understand whale and seal diet, and tracking predation effects caused by invasive species such as killer whales. Results indicated that with declining sea ice, the Hudson Bay marine ecosystem is shifting from a polar bear-seal system with Inuit hunters at the apex to one dominated by cetaceans with killer whales at the apex. This shift is eroding Inuit traditional subsistence culture. As a result, our project has the added goal t o provide northerners with information required to adapt to a rapidly changing world where Arctic marine mammal populations are showing demographic strain due to polar warming. Type: Research Program: Notes: IPY-GWAMM <p>This metadata record corresponds to an IPY project. Studies completed under this research project are identified as related materials. These studies can also be retrieved using the <a href="http://www.polardata.ca/whitesnow/">Polar Data Catalogue</a>.</p>;
Other Borealis Collections Translation missing: fr.blacklight.search.logo
Dynamic Inuit social strategies in changing environment: A long term perspective
— 2012-10-17 Type: Research Program: Notes: IPY-Inuit Social Strategies in Changing Environments <p>This metadata record corresponds to an IPY project. Studies completed under this research project are identified as related materials. These studies can also be retrieved using the <a href="http://www.polardata.ca/whitesnow/">Polar Data Catalogue</a>.</p>; For the IPY project Dynamic Inuit Social Strategies in Changing Environments: A Long-Term Perspective, archaeologists and other scientists from across Canada collaborated with Inuit community and heritage organizations to better understand how Inuit culture developed and changed over the past 1,000 years. Six research teams brought together Inuit traditional knowledge, excavation of important archaeological sites, and information about changing Arctic environments. The research took place across the Canadian Arctic, with fieldwork occurring in Nunavut near the communities of Cambridge Bay, Arviat, Taloyoak, Igloolik, and Hall Beach; in Nunavik (northern Québec) near Inukjuak; and in Labrador near Nain (Figure 1). The ultimate goal of the project is to understand how outside forces, such as climate change and interaction with Europeans, were combined with complex and dynamic Inuit cultural patterns, to produce the diverse and successful societies which exist across the Canadian Arctic today. A key part of the project is its emphasis on close integration with Inuit organizations. The various research teams worked closely with community groups and cultural organizations, and a large number of Inuit elders and youth were involved in various aspects of the planning, fieldwork, and communication of knowledge gained. The results of the project will be useful to Inuit heritage organizations and educational institutions that are dedicated to connecting the past with the present, and also will provide a long-ter m historic perspective on issues facing modern northern communities as they deal with climate change and other challenges. Results from the fieldwork include significant new insights into the early Thule Inuit migration from Alaska through the eastern Arctic, the nature of early Inuit life in coastal regions across the Arctic, and the relationship between climate change and Inuit culture change.
Other Borealis Collections Translation missing: fr.blacklight.search.logo
Replication Data for: Surface Water Microplastics, Saint John Harbour, New Brunswick (CC BY 4.0)
— 2020-04-30 Environment and Climate Change Canada’s Atlantic Ecosystems Initiatives program provided funding to support this work; COINAtlantic (coinatlantic.ca) collaborated with research partners to make data publicly available under the FAIR data guiding principles. In November 2018, ACAP Saint John in New Brunswick conducted sampling and subsequent analysis for surface water microplastics across five trawl sites (two in the inner Saint John Harbour and three in the outer harbour). A Low-Tech Aquatic Debris Instrument (LADI) was used to collect samples as per the protocol developed by Civic Laboratory for Environmental Action Research (CLEAR) at Memorial University of Newfoundland (Coyle et al., 2016). Microplastics research in the Saint John Harbour has only recently been initiated; this data will support new understanding of this previously unstudied contaminant and support informed management of the harbour. Environment and Climate Change Canada’s Atlantic Ecosystems Initiatives program provided funding to support this work; COINAtlantic (coinatlantic.ca) collaborated with research partners to make data publicly available under the FAIR data guiding principles.
Other Borealis Collections Translation missing: fr.blacklight.search.logo
International Cigarette Consumption Database v1.3
— 2019-06-19 This database contains tobacco consumption data from 1970-2015 collected through a systematic search coupled with consultation with country and subject-matter experts. Data quality appraisal was conducted by at least two research team members in duplicate, with greater weight given to official government sources. All data was standardized into units of cigarettes consumed and a detailed accounting of data quality and sourcing was prepared. Data was found for 82 of 214 countries for which searches for national cigarette consumption data were conducted, representing over 95% of global cigarette consumption and 85% of the world’s population. <br><br> Cigarette consumption fell in most countries over the past three decades but trends in country specific consumption were highly variable. For example, China consumed 2.5 million metric tonnes (MMT) of cigarettes in 2013, more than Russia (0.36 MMT), the United States (0.28 MMT), Indonesia (0.28 MMT), Japan (0.20 MMT), and the next 35 highest consuming countries combined. The US and Japan achieved reductions of more than 0.1 MMT from a decade earlier, whereas Russian consumption plateaued, and Chinese and Indonesian consumption increased by 0.75 MMT and 0.1 MMT, respectively. These data generally concord with modelled country level data from the Institute for Health Metrics and Evaluation and have the additional advantage of not smoothing year-over-year discontinuities that are necessary for robust quasi-experimental impact evaluations. <br><br> Before this study, publicly available data on cigarette consumption have been limited—either inappropriate for quasi-experimental impact evaluations (modelled data), held privately by companies (proprietary data), or widely dispersed across many national statistical agencies and research organisations (disaggregated data). This new dataset confirms that cigarette consumption has decreased in most countries over the past three decades, but that secular country specific consumption trends are highly variable. The findings underscore the need for more robust processes in data reporting, ideally built into international legal instruments or other mandated processes. To monitor the impact of the WHO Framework Convention on Tobacco Control and other tobacco control interventions, data on national tobacco production, trade, and sales should be routinely collected and openly reported. <br><br> The first use of this database for a quasi-experimental impact evaluation of the WHO Framework Convention on Tobacco Control is: Hoffman SJ, Poirier MJP, Katwyk SRV, Baral P, Sritharan L. Impact of the WHO Framework Convention on Tobacco Control on global cigarette consumption: quasi-experimental evaluations using interrupted time series analysis and in-sample forecast event modelling. BMJ. 2019 Jun 19;365:l2287. doi: https://doi.org/10.1136/bmj.l2287 <br><br> Another use of this database was to systematically code and classify longitudinal cigarette consumption trajectories in European countries since 1970 in: Poirier MJ, Lin G, Watson LK, Hoffman SJ. Classifying European cigarette consumption trajectories from 1970 to 2015. Tobacco Control. 2022 Jan. DOI: 10.1136/tobaccocontrol-2021-056627. <br><br> Statement of Contributions: Conceived the study: GEG, SJH Identified multi-country datasets: GEG, MP Extracted data from multi-country datasets: MP Quality assessment of data: MP, GEG Selection of data for final analysis: MP, GEG Data cleaning and management: MP, GL Internet searches: MP (English, French, Spanish, Portuguese), GEG (English, French), MYS (Chinese), SKA (Persian), SFK (Arabic); AG, EG, BL, MM, YM, NN, EN, HR, KV, CW, and JW (English), GL (English) Identification of key informants: GEG, GP Project Management: LS, JM, MP, SJH, GEG Contacts with Statistical Agencies: MP, GEG, MYS, SKA, SFK, GP, BL, MM, YM, NN, HR, KV, JW, GL Contacts with key informants: GEG, MP, GP, MYS, GP Funding: GEG, SJH <br><br> SJH: Hoffman, SJ; JM: Mammone J; SRVK: Rogers Van Katwyk, S; LS: Sritharan, L; MT: Tran, M; SAK: Al-Khateeb, S; AG: Grjibovski, A.; EG: Gunn, E; SKA: Kamali-Anaraki, S; BL: Li, B; MM: Mahendren, M; YM: Mansoor, Y; NN: Natt, N; EN: Nwokoro, E; HR: Randhawa, H; MYS: Yunju Song, M; KV: Vercammen, K; CW: Wang, C; JW: Woo, J; MJPP: Poirier, MJP; GEG: Guindon, EG; GP: Paraje, G; GL Gigi Lin <br><br> Key informants who provided data: Corne van Walbeek (South Africa, Jamaica) Frank Chaloupka (US) Ayda Yurekli (Turkey) Dardo Curti (Uruguay) Bungon Ritthiphakdee (Thailand) Jakub Lobaszewski (Poland) Guillermo Paraje (Chile, Argentina) <br><br> Key informants who provided useful insights: Carlos Manuel Guerrero López (Mexico) Muhammad Jami Husain (Bangladesh) Nigar Nargis (Bangladesh) Rijo M John (India) Evan Blecher (Nigeria, Indonesia, Philippines, South Africa) Yagya Karki (Nepal) Anne CK Quah (Malaysia) Nery Suarez Lugo (Cuba) <br><br> Agencies providing assistance: Iranian Tobacco Co. Institut National de la Statistique (Tunisia) HM Revenue & Customs (UK) Eidgenössisches Finanzdepartement EFD/Département fédéral des finances DFF (Switzerland) Bureau of Internal Revenue (Philippines) National Statistical Office of Mongolia If you have any questions, you may contact us at: data(at)globalstrategylab.org.

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