Open Jackson is the City of Jackson's open data portal to find facts, figures, and maps related to our lives within the city. We are working to make this the default technology platform to support the publication of the City's public information, in the form of data, and to make this information easy to find, access, and use by a broad audience. The release of Open Jackson marks the culminating point of our efforts to transition to a transparent government. We will continue our work to curate high-quality and up-to-date datasets and develop a platform that is widely accessible. If you have feedback, please contact [email protected]. In 2015, a new law created the online open data portal to increase transparency and accountability in Jackson by making key information easily accessible and usable to both city officials and citizens. Click here to view the Jackson Open Data Policy. You may use the search bar at the top of the page to find data. Once you find a dataset you would like to download, select the data and view the available download options. Datasets can also be filtered to display only the features of the dataset that you are interested in for download. Data is offered for download in several formats. Spatial and tabular data formats (CSV, KML, shapefile, and JSON) are available for use in GIS and other applications. Mobile users may require additional software to view downloaded data. To edit a shapefile on an iOS device, users will need to unzip the file with an app such as iZip and then open the file in a viewer/editor such as iGIS. By using data made available through this site, the user agrees to all the conditions stated in the following paragraphs as well as the terms and conditions described under the City of Jackson homepage. The data made available has been modified for use from its original source, which is the City of Jackson. The City of Jackson makes no claims as to the completeness, accuracy, timeliness, or content of any data contained in this application; makes no representation of any kind, including, but not limited to, warranty of the accuracy or fitness for a particular use; nor are any such warranties to be implied or inferred with respect to the information or data furnished herein. The data is subject to change as modifications and updates are complete. It is understood that the information contained in the site is being used at one's own risk. The City of Jackson reserves the right to discontinue providing any or all of the data feeds at any time and to require the termination of any and all displaying, distributing or otherwise using any or all of the data for any reason including, without limitation, your violation of any provision of these Terms of Use. If you have questions, suggestions, requests or any other feedback, please contact or email at [email protected]

This forest health dataset includes flightlines from 2023. Along these flightlines, surveyors from the Alaska Division of Forestry & Fire Protection and USDA Forest Service - Forest Health Protection document insect, disease, and abiotic damage in the forest from about 1000 feet altitude using a digital mobile sketch-mapping tablet and software. The aerial survey covers about 15% of the forests statewide each year. Note that much of the forest damage documented during these surveys does not typically result in tree or shrub mortality. Aerial survey data disclaimer: USDA Forest Service - Forest Health Protection and the Alaska Division of Forestry & Fire Protection make every attempt to accurately identify and locate forest damage. The data is offered "as is".

For full FGDC metadata record, please click here.These data represent Staging and Response Locations collected by GPS for Mississippi, Alabama, and the Florida Panhandle prior to the Deepwater Horizon Oil Spill. The locations for the Peninsular portion of Florida, Georgia, South Carolina, Puerto Rico, and the US Virgin Islands have been compiled from numerous sources into this database schema and will at some later date (after Nov. 2010) be verified and validated by GPS. Staging and response locations were identified first by defining the types of locations that fit these descriptions. The broad categories were defined as Boat Ramp, Marina, Staging Area, or any combination of these. A marina may contain a boat ramp as well as a large parking lot with a seawall suitable for deploying equipment into the water. A staging area may contain just a waterfront park with access to the water, but no boat ramp or marina, but perhaps a dock or pier. These categories and attributes were used to design a specific database schema to collect information on these geographic features that could be used on a GPS-enabled field data collection device. Once the categories of information to be collected and the specifics of what types of information to be collected within each category were determined (the database schema), mobile devices were programmed to accomplish this task and area committee volunteers were used to conduct the field surveys. Field crews were given training on the devices. Guided by base maps identifying potential locations, they then traveled into the field to validate and collect specific GPS and attribute data on those locations. This was a cooperative effort between many federal, state, and local entities guided by FWC-FWRI that resulted in detailed and location-specific information on 366 staging area locations within Sector Mobile and a comprehensive GIS data set that is available on the DVD ROM and website as well a being used in the Geographic Response Plan Map Atlas production. Cyber-Tracker was the software used for this field data collection. Cyber-Tracker is a "shareware" software package developed as a data-capture tool designed for use in Environmental Conservation, Wildlife Biology and Disaster Relief. The software runs on numerous types of mobile devices and designing custom data capture processes for these devices requires no programming experience. Funded in large part by the European Commission and patroned by Harvard University, Cyber-Tracker Software has been a very valuable tool in the data collection efforts of this project. Cyber-Tracker Software can be found on the Internet at: http://www.cybertracker.co.za/.

This forest health dataset includes both polygon and point data from 2023. Points have a buffered area based on tree number. Surveyors from the Alaska Division of Forestry & Fire Protection and USDA Forest Service - Forest Health Protection document insect, disease, and abiotic damage in the forest from about 1000 feet altitude using a digital mobile sketch-mapping tablet and software. The aerial survey covers about 15% of the forests statewide each year. Note that much of the forest damage documented during these surveys does not typically result in tree or shrub mortality. Aerial survey data disclaimer: USDA Forest Service - Forest Health Protection and the Alaska Division of Forestry & Fire Protection make every attempt to accurately identify and locate forest damage. The data is offered "as is".

Includes exhibits, definitions, and tables related to the establishment of a Mobile Opioid Treatment Program and services contract.

This forest health dataset includes both polygon and point data from 2021. Points have a buffered area based on tree number. Surveyors from the Alaska Division of Forestry & Fire Protection and USDA Forest Service - Forest Health Protection document insect, disease, and abiotic damage in the forest from about 1000 feet altitude using a digital mobile sketch-mapping tablet and software. The aerial survey covers about 15% of the forests statewide each year. Note that much of the forest damage documented during these surveys does not typically result in tree or shrub mortality. Aerial survey data disclaimer: USDA Forest Service - Forest Health Protection and the Alaska Division of Forestry & Fire Protection make every attempt to accurately identify and locate forest damage from the air. A very small percentage of the mapped data can be ground-checked and it is possible that errors in the data exist. These data are offered 'as is'.

This dataset supports the METRO·MIX research project, which investigates urban proximity and land-use mix as foundational criteria for promoting healthier, more compact metropolitan areas. The data are organized into three main components: General Data, City Data, and 15-Minute City Data, covering the Spanish cities of Barcelona, Madrid, Málaga, and A Coruña between 2021 and 2023. The General Data includes harmonized national-scale information derived from cadastral records and demographic statistics provided by the Spanish Land Registry and the National Institute of Statistics (INE), with variables such as land use categories, building function, population structure, and socioeconomic indicators. The City Data component provides spatially disaggregated information at the census section level for each city, integrating official records with field-collected data on urban functions. This data was processed to derive indices such as the Residential/Non-Residential Balance (RNR Index) and the Land Use Mix Index (LUM Index), facilitating comparative urban analysis. The 15-Minute City Data focuses on neighborhood-scale accessibility and functional diversity, particularly in Barcelona. It incorporates high-resolution, geolocated data on ground-floor commercial activities, categorized and verified through in-situ fieldwork and a custom-built mobile application. All datasets were processed using GIS software (QGIS 3.32) and validated through a multi-step quality control process, including spatial checks, field verification, and harmonization protocols. The dataset is structured in open formats (CSV, GeoJSON, Shapefiles) and intended to support further analysis in urban planning, geography, and public health research.

You may use the search bar at the top of the page to find data. Once you find a dataset you would like to download, select the data and view the available download options. Datasets can also be filtered to display only the features of the dataset that you are interested in for download. Data is offered for download in several formats. Spatial and tabular data formats (CSV, KML, shapefile, and JSON) are available for use in GIS and other applications. Mobile users may require additional software to view downloaded data. To edit a shapefile on an iOS device, users will need to unzip the file with an app such as iZip and then open the file in a viewer/editor such as iGIS. If you need a quick primer on City of Denton Open Data platform, watch this intro video By using data made available through this site, the user agrees to all the conditions stated in the following paragraphs as well as the terms and conditions described under the City of Denton homepage. The data made available has been modified for use from its original source, which is the City of Denton. The City of Denton makes no claims as to the completeness, accuracy, timeliness, or content of any data contained in this application; makes no representation of any kind, including, but not limited to, warranty of the accuracy or fitness for a particular use; nor are any such warranties to be implied or inferred with respect to the information or data furnished herein. The data is subject to change as modifications and updates are complete. It is understood that the information contained in the site is being used at one's own risk. The City of Denton reserves the right to discontinue providing any or all of the data feeds at any time and to require the termination of any and all displaying, distributing or otherwise using any or all of the data for any reason including, without limitation, your violation of any provision of these Terms of Use. If you have questions, suggestions, requests or any other feedback, please contact or email at [email protected]

Birmingham, Alabama Mayor William A. Bell signed an executive order to improve the way citizens interact with their government. The new law allowed the creation of this online open data portal to increase transparency and accountability in Birmingham by making key information easily accessible and usable to both city officials and citizens. Click here to view the Birmingham Open Data Policy. You may use the search bar at the top of the page to find data. Once you find a dataset you would like to download, select the data and view the available download options. Datasets can also be filtered to display only the features of the dataset that you are interested in for download. Data is offered for download in several formats. Spatial and tabular data formats (CSV, KML, shapefile, and JSON) are available for use in GIS and other applications. Mobile users may require additional software to view downloaded data. To edit a shapefile on an iOS device, users will need to unzip the file with an app such as iZip and then open the file in a viewer/editor such as iGIS. By using data made available through this site, the user agrees to all the conditions stated in the following paragraphs as well as the terms and conditions described under the City of Birmingham homepage. The data made available has been modified for use from its original source, which is the City of Birmingham. The City of Birmingham makes no claims as to the completeness, accuracy, timeliness, or content of any data contained in this application; makes no representation of any kind, including, but not limited to, warranty of the accuracy or fitness for a particular use; nor are any such warranties to be implied or inferred with respect to the information or data furnished herein. The data is subject to change as modifications and updates are complete. It is understood that the information contained in the site is being used at one's own risk. The City of Birmingham reserves the right to discontinue providing any or all of the data feeds at any time and to require the termination of any and all displaying, distributing or otherwise using any or all of the data for any reason including, without limitation, your violation of any provision of these Terms of Use. If you have questions, suggestions, requests or any other feedback, please contact or email at [email protected]

The datasets contained in this data asset were generated through the Feed the Future Senegal Naatal May project, an agricultural market systems development project from 2015-2019. Naatal Mbay worked with 120+ producer organizations across the irrigated rice, rainfed rice, maize, and millet value chains though a data collection system for monitoring and evaluation data that relied on engaging farmers and field agents of partner producer networks as active members of a data collection/feedback loop. Producer networks were trained to collect data and to use it to better plan and manage their own activities while also providing data for the project performance indicators. The producer networks used a set of data management tools established and validated through a close participatory process during the predecessor Projet Croissance Economique project with technical team and partner networks across different value chains. Excel spreadsheets, GIS software, and a CommCare-based mobile data collection application were used to generate agricultural input (fertilizer, seeds) requirements and crop forecasts, track field activities, map farms, and organize harvests. The databases contain information on the producer members, partner producer organizations of the project, monitoring of agronomic activities of plots, financing, marketing, and rainfall data. The databases were audited by Naatal Mbay’s M&E staff and aggregated for the project's key performance indicators.

The weighted proportion of receipt of BPCR messages across selected characteristics of the respondents in Ethiopia, EDHS 2016.

Random intercept variances and model fit statistics comparison of multilevel mixed effect logistic regression model.

Samenvatting : Een inventaris van alle bomen in de publieke ruimte die worden beheerd door de stad (Stadsbeheer). Bomen zijn meerjarige houtige planten van meer dan 3m hoog (sommige lagere scheer- of knotvormen zijn dus niet als boom geïnventariseerd). Bomen in bosverband worden niet individueel beheerd en worden als vlak aangeduid. Doel: Kennis en efficiënt beheer van het bomenbestand in de stad. De kaartlaag is enkel raadpleegbaar. Het aanbrengen van wijzigingen en opslaan van extra informatie (schade, beheergegevens... ) gebeurt in aangepaste software. Basis: Kaartlaag aangemaakt uit eenmalige grootschalige opmeting (vnl. door mobile mapping) en verder aangevuld met terrestrische metingen. Tekortzones zijn vnl. parken en die worden in de periode 2014 - 2018 verder opgemeten. Update van de gegevens gebeurt door verwerking van as-builtplannen. Inbrengen en controle van de attributen (boomsoort, stamomtrek) gebeurt door de terreinbeheerders van SB/GB.