Description: The neighborhoods shown in this dataset are derived from a larger dataset drawn and maintained by the Data Desk, a team of Times reporters and Web developers in downtown L.A. The boundaries have expanded and shifted over time and now cover all of Los Angeles County broken down into 272 neighborhoods.This version of the LA Times boundaries only includes neighborhoods fully or partially within the City of Los Angeles. Neighborhoods that extend into other cities have been clipped to only show the portion(s) of the neighborhoods that are within the City of Los Angeles.Data Source: Los Angeles Times' Mapping LA project.Last Updated: October 7, 2016Refresh Rate: Never - Historical data (Note: should the LA Times update their Mapping LA project with new boundaries in the future, a new LA-specific layer will be added to the GeoHub as well.)

Description: The neighborhoods shown in this dataset are derived from a larger dataset drawn and maintained by the Data Desk, a team of Times reporters and Web developers in downtown L.A. The boundaries have expanded and shifted over time and now cover all of Los Angeles County broken down into 272 neighborhoods.This version of the LA Times boundaries only includes neighborhoods fully or partially within the City of Los Angeles. Neighborhoods that extend into other cities have been clipped to only show the portion(s) of the neighborhoods that are within the City of Los Angeles.Data Source: Los Angeles Times' Mapping LA project.Last Updated: October 7, 2016Refresh Rate: Never - Historical data (Note: should the LA Times update their Mapping LA project with new boundaries in the future, a new LA-specific layer will be added to the GeoHub as well.)

Using data on Black-owned businesses from the LA Times and other sources, we've mapped Black-owned businesses in LA as of September 2020. We've layered PPP data (total # of loans by neighborhood) on to the map as well. The darker green areas correspond to high numbers of PPP loans in the neighborhood.

The data set includes data on the territorial distribution, species composition, nesting and behaviors of birds during the breeding season in permanent sample plots (areas for the bird census). All bird observations are marked on a map in WGS 84 coordinates determined using a mobile device with OS Android. Surveys were conducted from 2018 to 2020 in season of the birds nesting between end of April and the middle of July. The permanent sample plots are located in typical forest habitats of the strict nature reserve (category IUCN Ia) – Core area Prioiksko-Terrasnyi Biosphere Reserve. There are 3 sample plots in different type of forest: pine forest (sample plot 35, square 45 ha), oakwood (sample plot 41, square 25 ha), and mixed forest (sample plot 18, square 40 ha). During survey, 66 species of birds were recorded in total. Each census is a map of the distribution of birds on the site on the day of visit. The collected data make it possible to create a map of the distribution of the individual territories of birds on permanent areas in different years.

Набор данных включает данные о территориальном распределении, видовом составе, гнездовании и поведении птиц в период размножения на постоянных пробных площадках (площадки для учета птиц). Все наблюдения за птицами отмечены на карте в координатах WGS 84, определенных при помощи мобильного устройства c OC Андроид. Исследования проводились с 2018 по 2020 год в сезон гнездования птиц с конца апреля по середину июля. Постоянные пробные участки расположены в типичных лесных местообитаниях природного заповедника (категория IUCN Ia) – ядра Приокско-Террасного биосферного резервата. Обследование проведено на 3-х пробных площадях в различных типах спелого леса (возраст 70-120 лет): сосновый лес (plot 35, площадь 35 га), дубовый лес (plot 41, площадь 25 га) и смешанный лес (plot 18, площадь 40 га). Всего в ходе обследований было зафиксировано 66 видов птиц. Каждый учет представляет собой карту распределения птиц на площадке в день учета. Собранные данные позволяют составить карту распределения мест гнездования птиц на постоянных площадях в разные годы.

This series of three-period land use land cover (LULC) datasets (1975, 2000, and 2013) aids in monitoring change in West Africa’s land resources (exception is Tchad at 4 kilometers). To monitor and map these changes, a 26 general LULC class system was used. The classification system that was developed was primarily inspired by the “Yangambi Classification” (Trochain, 1957). This fairly broad class system for LULC was used because the classes can be readily identified on Landsat satellite imagery. A visual photo-interpretation approach was used to identify and map the LULC classes represented on Landsat images. The Rapid Land Cover Mapper (RLCM) was used to facilitate the photo-interpretation using Esri’s ArcGIS Desktop ArcMap software. Citation: Trochain, J.-L., 1957, Accord interafricain sur la définition des types de végétation de l’Afrique tropicale: Institut d’études centrafricaines.