Overture Maps Foundation: places data Overture Maps Foundation, overturemaps.org Attribution and licensing: https://docs.overturemaps.org/attribution/ BinderPlug's list of meetup places comes mainly from the Overture Maps places theme, release 2026-09-23.1 (United States). The places theme contains no OpenStreetMap data. Attribution for the places theme, as Overture publishes it: - Data from Meta. Available under CDLA Permissive 2.0. - Data from Microsoft. Available under CDLA Permissive 2.0. - Data from PinMeTo. Available under CDLA Permissive 2.0. - Data from Krick. Available under CDLA Permissive 2.0. - Data from RenderSEO. Available under CDLA Permissive 2.0. - Data from DAC. Available under CDLA Permissive 2.0. - Data from BrightQuery. Available under CDLA Permissive 2.0. - Data from Foursquare. Copyright 2024 Foursquare Labs, Inc. All rights reserved. Available under Apache 2.0. Foursquare data was transformed to the Overture schema. Changed: 2026-03-18. The Foursquare NOTICE and the Apache License 2.0 are reproduced in full in the Foursquare notice on this page. - Data from AllThePlaces. Available under CC0 1.0 (https://creativecommons.org/publicdomain/zero/1.0/). Changes made by BinderPlug: we kept only places in our meetup categories (game stores, coffee shops, public libraries, and police stations) and only some of their fields (name, street address, map location, and website). We decided which places to keep by reading public web pages about them, mostly the places' own websites. In some cases we corrected a name or street address from that page and placed the pin again with the U.S. Census Bureau Geocoder, and we added details the page states, such as seating or a police station's exchange area. The text of the Community Data License Agreement - Permissive - Version 2.0 follows. ------------------------------------------------------------------------------------------ Community Data License Agreement - Permissive - Version 2.0 This is the Community Data License Agreement - Permissive, Version 2.0 (the "agreement"). Data Provider(s) and Data Recipient(s) agree as follows: 1. Provision of the Data 1.1. A Data Recipient may use, modify, and share the Data made available by Data Provider(s) under this agreement if that Data Recipient follows the terms of this agreement. 1.2. This agreement does not impose any restriction on a Data Recipient's use, modification, or sharing of any portions of the Data that are in the public domain or that may be used, modified, or shared under any other legal exception or limitation. 2. Conditions for Sharing Data 2.1. A Data Recipient may share Data, with or without modifications, so long as the Data Recipient makes available the text of this agreement with the shared Data. 3. No Restrictions on Results 3.1. This agreement does not impose any restriction or obligations with respect to the use, modification, or sharing of Results. 4. No Warranty; Limitation of Liability 4.1. All Data Recipients receive the Data subject to the following terms: THE DATA IS PROVIDED ON AN "AS IS" BASIS, WITHOUT REPRESENTATIONS, WARRANTIES OR CONDITIONS OF ANY KIND, EITHER EXPRESS OR IMPLIED INCLUDING, WITHOUT LIMITATION, ANY WARRANTIES OR CONDITIONS OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. NO DATA PROVIDER SHALL HAVE ANY LIABILITY FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING WITHOUT LIMITATION LOST PROFITS), HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE DATA OR RESULTS, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGES. 5. Definitions 5.1. "Data" means the material received by a Data Recipient under this agreement. 5.2. "Data Provider" means any person who is the source of Data provided under this agreement and in reliance on a Data Recipient's agreement to its terms. 5.3. "Data Recipient" means any person who receives Data directly or indirectly from a Data Provider and agrees to the terms of this agreement. 5.4. "Results" means any outcome obtained by computational analysis of Data, including for example machine learning models and models' insights.