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Methane flux from northern Alberta fens
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Strack, Maria — 2019-05-08 Methane flux presented as an average of 6-12 measurements made between May and October of each study year using the closed chamber method. Vegetation cover data, where present, was measured in August. Microform indicates micro topographic position with the site where H is hummock and W is hollow. The sites are: open poor fen (OPF), treed poor fen (TPF), saline fen (SF) and treed rich fen (TRF). Water table (WT) and soil temperature at 5 and 20 cm (T5, T20) are also averages of measurement made coincidentally with the fluxes. Negative values for WT indicate a depth below the soil surface. GEP is gross ecosystem photosynthesis measured on the same days based on net ecosystem exchange measurements with a transparent closed chamber in full sun conditions and respiration measured with a dark chamber (GEP = net ecosystem exchange - respiration). Porewater is the methane concentration in pore water determined using headspace equilibration. Pore water samplers were installed just below the WT in the first year and left in place.
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Road impact on hydrology: data
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saraswati, Saraswati — 2019-05-27 Field measured water table positions, and hydraulic head collected in 2016 (May-August) and 2017 (May-September) from study sites (bog and fen).
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Author Addendum Conundrum Study: Researcher Survey Results
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Byl, Lauren — 2020-07-07 Researchers from the U15 group of Universities in Canada were asked to answer a series of questions about their publishing, knowledge of copyright, knowledge of author addenda, their use of addenda, and the support they need to negotiate their authorship agreements. Institutional information was removed due to the limited participant pool.
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Interview Transcription Data for "Grounded: The Impact of the COVID-19 Pandemic on the People of the Air Travel Industry"
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Koristka, Matthew — 2021-04-12 Grounded: The Impact of the COVID-19 Pandemic on the People of the Canadian Air Travel Industry details the stories of the people whose lives have been turned upside down by the changes that have occurred in the world of aviation since March 2020. The project aimed to answer the research question of, "how has the COVID-19 pandemic impacted the lives of employees, passengers, and other people connected to the Canadian air travel industry?” The files in this dataset contain the de-identified transcriptions of five interviews completed as part of this project. The interviews were completed between January and March of 2021 and discussed the preceding year. The interviews formed the basis for a public webpage which is linked as the publication link below.
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Reclaimed Oil Sands Exploration sites Alberta - Carbon Flux and Environmental Variables
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Murray, Kimberley — 2020-07-23 Two oil sands exploration (OSE) sites were studied: a site reclaimed in 2009 (old) and a site reclaimed in 2012 (new). A natural site was also studied (NAT). Plots were named as follows, based on management technique at the OSE sites: control with no reclamation technique (C), wet control (C-w), coarse woody debris additions (CWD), mechanical mounding and planting trees, mound (M-m), mechanical mounding and planting trees, pool (M-p), planting trees only (PAI). Carbon dioxide and methane flux measurements made between May and September of 2017 and 2018 using the closed chamber method. Measurements for water table depth (WT - negative means depth below the surface) and soil temperature at 2 cm depth (T2) to 20 cm depth (T20) were made adjacent to each flux plot at the time of a carbon dioxide or methane measurement. GEP (gross ecosystem productivity) is the difference between NEE (net ecosystem exchange) and ER (ecosystem respiration), and negative GEP and NEE values represent a sink of carbon dioxide from the atmosphere to the soil. PAR is photosynthetically active radiation. Plot vegetation cover was measured in August. Water table, temperature at 5 cm depth, and PAR were logged during the study period using sensors. Tree quadrats were located in the vicinity of the carbon flux plots.
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Peat chemistry: Raw data and quality control, Seba Beach peat samples used for microbial analyses (a). Peat chemistry: Raw data and quality control, Seba Beach peat samples used for microcosms (b).
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Bieniada, Aneta — 2020-09-10 Peat samples collected in summer 2016 and 2017 at Seba Beach horticultural peat complex in Alberta. Peat chemistry: Raw data and quality control, Seba Beach peat samples used for microbial analyses (a). Peat chemistry: Raw data and quality control, Seba Beach peat samples used for microcosms (b).
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The SPOT* Personal Thermal Comfort System
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Alimohammad Rabbani; Costin Ograda-Bratu; S. Huo; S. Keshav — 2020-11-16 <p><b>Data Owner</b>: Alimohammad Rabbani, S. Keshav</p> <p><b>Data Description</b>: Unlike traditional conventional centralized HVAC systems that heat or cool an entire zone, Personal Environmental Control systems can provide personalized thermal comfort for each individual but are expensive and difficult to deploy. The SPOT* system, in contrast, is an individual thermal comfort system that can be rapidly and cost-effectively deployed.</p> <p>This dataset contains data collected from a cumulative 58,000 hours of operation of 45 SPOT* systems in 15 offices. Invitations are sent out to approximately 1500 building residents of four selected campus buildings, and we distributed the systems in first-come-first-served order. Over the course of the data collection, only one person has withdrawn from the trial because they left the university, and only two failures have happened (both resolved by re-plugging the device to the power outlet fixed the problem). Details regarding the design and deployment of the SPOT* system can be found in the paper “<i>The SPOT* Personal Thermal Comfort System</i>” by A. Rabbani and S. Keshav: <a href="http://blizzard.cs.uwaterloo.ca/keshav/wiki/images/b/be/Spotstar.pdf">http://blizzard.cs.uwaterloo.ca/keshav/wiki/images/b/be/Spotstar.pdf.</a></p> <p>The AD22100 surface-mount temperature sensor with 0.1◦C resolution is used to obtain temperature readings. The AMN22111 passive infrared human detection sensor outputs analog values that are converted to values between 0 and 1000 on the Raspberry Pi. When there is no movement, the sensor output values are approximately 500. Each movement causes the sensor to first generate one value close to 1000 and then another close to 0. The closer these values are to 1000 and 0, the greater the intensity of movement. Over a 30-second window, a standard deviation close to 0 indicates almost no movement, and thus no occupancy, while higher standard deviations correspond to more movement. The user interface with SPOT* system is by means of a Web app, and we collect users’ comfort preferences to the control app. More information on the data collection process can be found in section 3.1 and 4.1 of the paper “<i>The SPOT* Personal Thermal Comfort System</i>”.</p> <ul> <li><i><b>PPVs.csv</b></i>:</li> <p><b>time</b>: Epoch Unix Time Stamp (seconds since Jan 01 1970 (UTC)) </p> <p><b>Predicted Mean Vote (ASHRAE scale)</b>: Predicted Mean Vote (PMV) model estimates an average worker’s comfort level on the 7-point ASHRAE scale using a function fpmv(·): pmv = fpmv(ta,(t_r ) ̅,var,pa,M,Icl) </p> <p><b>Predicted Personal Vote (ASHRAE scale)</b>: PPV is a generalized version of PMV, computed as a*PMV + b. During a training period, the system collects comfort votes from the user to extract two user- specific parameters a and b using least-squares regression. </p> <p><b>device_id</b>: ID of devices placed in each office </p> <li><i><b>Motions.csv</b></i>:</li> <p><b>time</b>: Epoch Unix Time Stamp (seconds since Jan 01 1970 (UTC)) </p> <p><b>standard deviation of motion sensor in the last 30s</b>: standard deviation of motion values (i.e. motion intensity) during 30-second time windows </p> <p><b>device id</b>: ID of devices placed in each office </p> <li><i><b>Occupancies.csv</b></i>:</li> <p><b>time</b>: Epoch Unix Time Stamp (seconds since Jan 01 1970 (UTC)) </p> <p><b>occupancy</b>: 0(not occupied), 1(slight chance), 2(high chance), 3(definitely occupied) </p> <p><b>device id</b>: ID of devices placed in each office </p> <li><i><b>Temperatures.csv</b></i>:</li> <p><b>time</b>: Epoch Unix Time Stamp (seconds since Jan 01 1970 (UTC)) </p> <p><b>temperature</b>: degrees C </p> <p><b>device id</b>: ID of devices placed in each office </p> </ul> <p><b>Funding</b>: Cisco Systems and the Natural Science and Engineering Research Council of Canada (NSERC).</p>
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Camera-based Occupancy Detection Dataset
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S. Doubov; Costin Ograda-Bratu; S. Huo; S. Keshav — 2020-11-30 <p><b>Data Description</b>: A camera is taped to the ceiling of a lab at the University of Waterloo, and pictures are taken every 3 minutes between 10:15 am and 8 pm on March 9th, 11th, 12th, 13th, 14th, 15th, and 18th. Each image was rotated by -4.5 degrees and was split into four quadrants and a central region. A demo of how quadrants are truncated is in the dataset named as demo1.jpg and demo2.jpg.</p> <p>The files are named by the date the photo is captured, a serial number and the quadrant number. For example, mar-09-fri_cap_5_0.txt is information of the 5th picture taken on Friday, March 9th, and it is a cropped image of the 0th quadrant.</p> <p>Each file contains a binary denoting occupancy, where 1 indicates at least one person is present in the quadrant and 0 indicates no person in the quadrant.</p> <p>This dataset includes 3365 files of occupancy information deduced from 673 images each divided into 5 quadrants. </p> <p>This dataset has a total size of 215 KB.</p> <p><b>Funding</b>: Cisco Systems and the Natural Science and Engineering Research Council of Canada (NSERC).</p>
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Spreadsheet appendices (3C and 4B) for L. Jonas Hamberg dissertation
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Hamberg, L. Jonas — 2020-12-07 This dataset contains two spreadsheet appendices related to the PhD dissertation titled "The effect of ecosystem change, restoration, and plant diversity on thermally imaged surface temperature": 1. Appendix 3C - Species List and Observations, contain plant species observation data for spring, summer and fall 2019 at sites in Clearview Township referred to in Chapter 3. 2. Appendix 4B - Flight time temp and vegetation data, which contains the flight times for UAV thermal imaging at Clearview Township sites, the temperature results and the vegetation data that it was compared with, referred to in Chapter 4.

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