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Chicago Energy Benchmarking - 2016 Data Reported in 2017
data.cityofchicago.org | Last Updated 2024-02-09T19:21:58.000ZThe Chicago Building Energy Use Benchmarking Ordinance calls on existing municipal, commercial, and residential buildings larger than 50,000 square feet to track whole-building energy use, report to the City annually, and verify data accuracy every three years. The law, which phases in from 2014-2017, covers less than 1% of Chicago’s buildings, which account for approximately 20% of total energy used by all buildings. For more details, including ordinance text, rules and regulations, and timing, please visit www.CityofChicago.org/EnergyBenchmarking The ordinance authorizes the City to share property-specific information with the public, beginning with the second year in which a building is required to comply. This view shows data for a single year.
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Green Cart Waste Composition 2020 By Material
data.calgary.ca | Last Updated 2023-02-01T15:39:35.000ZWaste Composition studies are periodically conducted by Waste and Recycling Services to help assess the performance of diversion and education programs and inform improvements and new program design. This dataset is for Green Cart waste from residential dwellings, and represents the weighted average of samples of 20-25 residences collected in 22 communities in each of the four seasons of 2020 (88 samples). The communities sampled were selected to collectively represent the range of housing types and demographics in Calgary. The weight per cent composition is provided for a number of material categories and subcategories. For more information please visit: <a href="https://www.calgary.ca/uep/wrs/recycling-information/residential-services/green-cart/green-cart-composting.html">Green cart composting</a>
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Road Closures
data.brla.gov | Last Updated 2024-06-01T11:14:25.000ZThis dataset includes all recorded road closures by city-parish agencies since January 1, 2015.
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Hourly Traffic on MTA Bridges and Tunnels, Averages by Direction Column Chart
data.ny.gov | Last Updated 2024-06-03T11:00:44.000ZThis dataset provides data showing the number of vehicles (including cars, buses, trucks and motorcycles) that pass through each of the bridges and tunnels operated by the MTA each hour of the day. The data is updated weekly.
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LADOT Parking Meter Occupancy - Archive
data.lacity.org | Last Updated 2024-05-30T17:09:28.000ZMonthly archive of all parking meter sensor activity over the previous 36 months (3 years). Updated monthly for data 2 months prior (eg. January data will be published early March). For best-available current "live" status, see <b><u><i><a href="https://data.lacity.org/A-Livable-and-Sustainable-City/LADOT-Parking-Meter-Occupancy/e7h6-4a3e">"LADOT Parking Meter Occupancy"</a></i></u></b>. For location and parking policy details, see <b><u><i><a href="https://data.lacity.org/A-Livable-and-Sustainable-City/Parking-Meter-Inventory/s49e-q6j2">"LADOT Metered Parking Inventory & Policies"</a></i></u></b>. <b>* </b>This dataset is geared towards database professionals and/or app developers. Each file is extremely large, over 300MB at minimum. Common applications like Microsoft Excel will <i>not</i> be able to open the file and show all data. <b>** </b>For best results, import into a database or use advanced data access methods appropriate for processing large files.
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VIIRS/NPP BRDF/Albedo Snow Status Daily L3 Global 30ArcSec CMG V001
data.nasa.gov | Last Updated 2024-05-27T13:06:38.000ZThe NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Snow Status product (VNP43D52) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer for each of the parameters included in the VNP43MA2 (https://doi.org/10.5067/VIIRS/VNP43MA2.001) product. VNP43D40 through VNP43D53 are the 30 arc second BRDF/Albedo Quality values, the Local Solar Noon values, the Valid Observations of the moderate resolution bands (M1 through M5, M7, M8, M10, and M11) plus the Day/Night Band (DNB), the Snow Status, and the Uncertainty. Details regarding methodology are available on the VNP43MA2 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D52 contains the snow status quality layer, which identifies each pixel as either “Snow-free Albedo Retrieved” or “Snow Albedo Retrieved” for the acquisition period.
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Dallas Animals Field Data Fiscal Year 2016 - 2017
www.dallasopendata.com | Last Updated 2021-08-17T14:48:04.000ZDallas Animal Services data that pertains to operations by Animal Services Officers (ASO) who respond to calls in the field throughout the City of Dallas. ASO’s document their work using Chameleon software, an animal shelter software program. The document will be updated on a daily basis, so that citizens have a greater understanding of what ASO’s are doing in the neighborhoods of Dallas. “Helping Dallas be a safe, compassionate, and healthy place for people and animals”. Start date is October 01, 2016
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1995 Street Tree Census
data.cityofnewyork.us | Last Updated 2023-12-13T02:11:38.000ZCitywide street tree data from the 1995 Street Tree Census, conducted by volunteers organized by NYC Parks & Recreation. Trees were inventoried by address, and were collected from 1995-1996. Data collected includes tree species, diameter, condition.
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Vital Signs: Transit Cost-Effectiveness – by operator
data.bayareametro.gov | Last Updated 2018-07-06T18:04:51.000ZVITAL SIGNS INDICATOR Transit Cost-Effectiveness (T13) FULL MEASURE NAME Net cost per transit boarding (cost per boarding minus fare per boarding) LAST UPDATED May 2017 DESCRIPTION Transit cost-effectiveness refers to both the total and net costs per transit boarding, both of which are adjusted to reflect inflation over time. Net costs reflect total operating costs minus farebox revenue (i.e. operating costs that are not directly funded by system users). The dataset includes metropolitan area, regional, mode, and system tables for net cost per boarding, total cost per boarding, and farebox recovery ratio. DATA SOURCE Federal Transit Administration: National Transit Database http://www.ntdprogram.gov/ntdprogram/data.htm Bureau of Labor Statistics: Consumer Price Index http://www.bls.gov/data/ CONTACT INFORMATION vitalsigns.info@mtc.ca.gov METHODOLOGY NOTES (across all datasets for this indicator) Simple modes were aggregated to combine the various bus modes (e.g. rapid bus, express bus, local bus) into a single mode to avoid incorrect conclusions resulting from mode recoding over the lifespan of NTD. For other metro areas, operators were identified by developing a list of all urbanized areas within a current MSA boundary and then using that UZA list to flag relevant operators; this means that all operators (both large and small) were included in the metro comparison data. Financial data was inflation-adjusted to match 2015 dollar values using metro-specific Consumer Price Indices.
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Taxi Trips - 2014
data.cityofchicago.org | Last Updated 2024-02-07T20:40:12.000ZNote: As discussed in http://dev.cityofchicago.org/open%20data/data%20portal/2019/07/01/taxi-dataset-relaunch.html, some trips in November-December 2014 are known to be missing. --Taxi trips reported to the City of Chicago in its role as a regulatory agency. To protect privacy but allow for aggregate analyses, the Taxi ID is consistent for any given taxi medallion number but does not show the number, Census Tracts are suppressed in some cases, and times are rounded to the nearest 15 minutes. Due to the data reporting process, not all trips are reported but the City believes that most are. See http://digital.cityofchicago.org/index.php/chicago-taxi-data-released for more information about this dataset and how it was created. See http://dev.cityofchicago.org/open%20data/data%20portal/2019/04/12/tnp-taxi-privacy.html for further discussion of the approach to privacy in this dataset. See http://dev.cityofchicago.org/open%20data/data%20portal/2019/07/01/taxi-dataset-relaunch.html for discussion of significant changes in July 2019.