Parcel Address

This file contains address information for land parcels within The City of Calgary.

Mosquito Larval Counts

Records of pools (bodies of water) sampled by city staff for presence of mosquito larvae.

Water Point Data Exchange - Plus (WPdx+)

WPdx+ is an enhanced version of the WPdx-Basic dataset. For a full comparison between the two datasets, please visit our blog at https://www.waterpointdata.org/2021/10/07/introducing-wpdx-plus/. The Water Point Data Exchange (WPdx) is the global platform for sharing water point data. The WPdx Data Standard was designed by a wide range of stakeholders from across sectors and around the world. The core attributes included in the standard are already being collected by governments, researchers, and organizations around the world. To read more about the standard or to contribute water point data visit www.waterpointdata.org.

OLAS/SCL WASH Household Survey Dataset

The OLAS/SCL Household Survey Data Set contains 47 water and sanitation related indicators generated from microdata from national household surveys throughout the region. The data set contains information from 2003-2022 for 22 countries throughout Latin America and the Caribbean. Indicators are provided in terms of household percentage and total households that fall into each category, and can be broken down by various socioeconomic dimensions, including area (urban or rural community), income quintile, migratory status, ethnicity, and disability status. This dataset is the result of a collaboration between INE/WSA and SCL, and is a subset of the larger IDB SCL Indicators dataset.

NYC Building Energy and Water Data Disclosure for Local Law 84 (2022-Present)

Local Law 84 of 2009 (LL84) requires annual energy and water benchmarking data to be submitted by owners of buildings with more than 50,000 square feet. This data is collected via the Environmental Protection Agency's (EPA) <a href="https://www.energystar.gov/buildings/tools-and-resources/portfolio-manager-0">Portfolio Manager website</a> Each property is identified by it's EPA assigned property ID, and can contain one or more tax lots identified by one or more BBLs (Borough, Block, Lot) or one or more buildings identified by one or more building identification numbers (BIN) Please visit <a href="https://www1.nyc.gov/site/buildings/codes/benchmarking.page">DOB's Benchmarking and Energy Efficiency Rating page</a> for additional information.

Oil and Gas Annual Production: Beginning 2001

This dataset contains annual production information of oil and gas wells in New York State from 2001 to present.

PRCA Master Plan Metrics

Crustaceans and Demersal, Large Pelagic and Small Pelagic Fish (Operational Data)

Operational data provides operational information of sampled fishing vessels that contains specifications of vessel, engine and fishing gears, and operational inputs. The variables of these data are: organization/project; ID trip; surveyor; landing site/collector; fishing ground (fisheries management area/WPP); sampling time; time; commodity; vessel name/owner; mark; vessel owner; captain name; departure; arrival; origin port; crew (individual); vessel length; vessel weight; main engine; second engine; vessel material; light power; vessel space (unit); box total (unit); space/box capacity; auxiliary vessel; auxiliary vessel; size; freezer; freezer capacity; GPS use ; GPS type; andon (mobile fishing from other provinces) vessel; andon vessel provenance; fishing gear; fishing gear specifications; value; unit; material; tools operated (unit); fishing areas; setting total; ice block total; water depth (start); water depth (real); number of days per trip; number of days per catch; FAD use; FAD visited; FAD succeeded; fishing time; soaking (hour); comment; resources; total catch for consume in volume (Kg); total catch for consume in units (Ind); total catch in volume (Kg); total catch in units (Ind); local name; common name; species name; FAO; haul (Kg); units (Ind); storage method (fresh); storage method (frozen); storage method (salted); storage method (loin); storage method (boiled). The operational data can be used to estimate catch per unit effort (CPUE) of the fisheries and socioeconomics of the fisheries including associated cost.

Measuring Progress Questionnaire - Access to Amenities and Services that Improve Quality of Life

This was survey sent to the Insight Community in conjunction with a telephone survey performed to gauge residents thoughts on the City and how they think about their city. Test link to view these questions: https://www.edmontoninsightcommunity.ca/R.aspx?a=182&as=yN1J0gu9Dz&t=1. Open from January 26 - February 04, 2015. At the time the survey was launched survey invitations were sent to 2215 Insight Community Members. 1127 members completed the survey which represents a completion rate of 51%. A total of 1284 respondents completed the survey: 1127 Insight Community Members and 157 using the Open link.

Baseline Study of Food for Peace Title II Development Food Assistance Program in Karamoja, Uganda--Maternal Health and Household Sanitation

This dataset captures data about the mothers in the households surveyed as part of the Baseline Study of Food for Peace Title II Development Food Assistance Program in Karamoja, Uganda as well as the water and sanitation resources available to the household. This dataset contains data from Modules F and J of the questionnaire and has 295 columns and 4,766 rows. In fiscal year 2012, USAID's Office of Food for Peace (FFP) awarded funding to private voluntary organizations (PVOs) to design and implement a multi-year Title II development food assistance program in Uganda. The main purpose of the Title II program is to improve long-term food security of chronically food insecure population in the target regions. FFP contracted a firm, ICF International to conduct a baseline study in targeted areas of the country prior to the start of the new program. The purpose of the study was to assess the current status of key indicators, have a better understanding of prevailing conditions and perceptions of the population in the implementation areas, and serve as a point of comparison for future final evaluations. Results would also be used to further refine program targeting and, where possible, to understand the relationship between variables to inform program design. The study was conducted in 2013, while FFP expects to conduct final evaluations as close as possible to the end of the program five years later. The data asset is comprised of six datasets: 1) a description of all members of the households surveyed, 2) data on maternal health and sanitation practices, 3) data about the children in the household, 4) data describing the agricultural practices of the household, 5) data describing the food consumption of the household (broken into 4 smaller spreadsheets), and 6) and a description of the weights that should be applied during the analysis of the other datasets.