100+ datasets found
  1. d

    Addresses (Open Data)

    • catalog.data.gov
    • data-academy.tempe.gov
    • +11more
    Updated Jun 28, 2025
    + more versions
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    City of Tempe (2025). Addresses (Open Data) [Dataset]. https://catalog.data.gov/dataset/addresses-open-data
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    Dataset updated
    Jun 28, 2025
    Dataset provided by
    City of Tempe
    Description

    This dataset is a compilation of address point data for the City of Tempe. The dataset contains a point location, the official address (as defined by The Building Safety Division of Community Development) for all occupiable units and any other official addresses in the City. There are several additional attributes that may be populated for an address, but they may not be populated for every address. Contact: Lynn Flaaen-Hanna, Development Services Specialist Contact E-mail Link: Map that Lets You Explore and Export Address Data Data Source: The initial dataset was created by combining several datasets and then reviewing the information to remove duplicates and identify errors. This published dataset is the system of record for Tempe addresses going forward, with the address information being created and maintained by The Building Safety Division of Community Development.Data Source Type: ESRI ArcGIS Enterprise GeodatabasePreparation Method: N/APublish Frequency: WeeklyPublish Method: AutomaticData Dictionary

  2. s

    Limites de communes

    • data.strasbourg.eu
    • grandestprod-backoffice.data4citizen.com
    • +2more
    csv, excel, geojson +1
    Updated Jun 2, 2025
    + more versions
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    (2025). Limites de communes [Dataset]. https://data.strasbourg.eu/explore/dataset/limites_de_communes/
    Explore at:
    excel, json, geojson, csvAvailable download formats
    Dataset updated
    Jun 2, 2025
    License

    Licence Ouverte / Open Licence 2.0https://www.etalab.gouv.fr/wp-content/uploads/2018/11/open-licence.pdf
    License information was derived automatically

    Description

    Ce jeu de données contient les limites cadastrales des communes de l'Eurométropole de Strasbourg.Il est mis à jour tous les trois mois.Les données sont en cours de constitution pour les communes d'Achenheim, Breuschwickersheim, Hangenbieten, Kolbsheim et Osthoffen. Les contours de ces communes sont basés sur les données du Plan Cadastral Informatisé de la Direction Générale des Finances Publiques.Les données sont exportables dans le système RGF 93 CC48.Les détails de constitution, de gestion et de qualité de la donnée sont présentés dans un document en annexe.

  3. O

    Department of Economic and Community Development (DECD) – Business...

    • data.ct.gov
    • datasets.ai
    • +1more
    application/rdfxml +5
    Updated Mar 26, 2014
    + more versions
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    Department of Economic and Community Development (2014). Department of Economic and Community Development (DECD) – Business Assistance Portfolio [Dataset]. https://data.ct.gov/Business/Department-of-Economic-and-Community-Development-D/xnw3-nytd
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    application/rdfxml, csv, application/rssxml, tsv, json, xmlAvailable download formats
    Dataset updated
    Mar 26, 2014
    Dataset authored and provided by
    Department of Economic and Community Development
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    DECD's listing of direct financial assistance to businesses from July 1, 2009 through June 30, 2024. New projects are usually added quarterly, but updates may be made on an ongoing basis.

    Small Business Boost loan recipients can be found here: https://data.ct.gov/d/yk65-8y82

  4. d

    City Cultural Centers Audit Community Survey - Open Response Data

    • catalog.data.gov
    • cloud.csiss.gmu.edu
    • +3more
    Updated Apr 25, 2025
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    data.austintexas.gov (2025). City Cultural Centers Audit Community Survey - Open Response Data [Dataset]. https://catalog.data.gov/dataset/city-cultural-centers-audit-community-survey-open-response-data
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    Dataset updated
    Apr 25, 2025
    Dataset provided by
    data.austintexas.gov
    Description

    This table contains data from the community survey conducted as part of an Audit of the City's Cultural Centers. We surveyed members of the Austin community using a survey developed by the audit team. Survey questions generally asked respondents' opinions on cultural center programs, staff, fees, and facilities. The survey opened January 3 and closed January 27, 2020. Austin community members were invited to take the survey through social media outreach and direct email invitations. The survey and outreach materials were written in English and translated into Spanish, Vietnamese, and Simplified Chinese. A total of 1,330 community members responded to the survey. Respondents were asked only to respond for centers they had visited in the last two years and could respond for more than one center. The comments detailed in this table were in response to open-ended survey items that allowed respondents to give opinions or suggestions about each center's programming, fees, staff, and facilities. Any open-ended responses answered in Spanish, Vietnamese, or Chinese were translated prior to analysis. To gauge the general sentiment of the responses, each was categorized as "Positive," "Negative," "Suggestion," or "N/A." During analysis, some comments were deemed more relevant to other open-ended survey items than the items for which they were originally written. These responses were re-assigned to the survey items that more closely aligned with their subject.

  5. g

    Municipalities of the department of Haute-Garonne: Haute-Garonne Open Data |...

    • gimi9.com
    Updated Dec 2, 2010
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    (2010). Municipalities of the department of Haute-Garonne: Haute-Garonne Open Data | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_https-data-haute-garonne-fr-explore-dataset-communes-haute-garonne-
    Explore at:
    Dataset updated
    Dec 2, 2010
    Area covered
    Haute-Garonne, Garonne
    Description

    This dataset offers the list of 586 municipalities that make up the department of Haute-Garonne. These data are updated and enriched by Haute-Garonne Open Data, the open data portal of the Haute-Garonne Department. If you notice any errors, if you wish to propose changes or changes, please contact us using the form at your disposal. * * * * Useful link: Identifiers of local and regional authorities and their establishments, on the site data.gouv.fr, based on an approach followed by [Datactivist]. * * * * Definition of “commune” on the site of the National Institute of Statistics and Economic Studies (Insee): smaller French administrative subdivision but it is also the oldest, since it succeeded the towns and parishes of the Middle Ages. It was instituted in 1789 before experiencing a beginning of autonomy with the law of April 5, 1884, a true municipal charter. The mayor is the executive of the municipality he represents and whose budget he manages. It is the employer of the municipal staff and exercises the powers of proximity (schools, urban planning, social work, roads, school transport, collection of household waste, sanitation...). He is also a State agent for the functions of civil status, public order, organisation of elections and issuance of statutory titles. * * * * For more information: the department of Haute-Garonne in the INSEE website.

  6. Z

    Data from: Caravan - A global community dataset for large-sample hydrology

    • data.niaid.nih.gov
    • biorxiv.org
    • +2more
    Updated Jan 16, 2025
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    Erickson, Tyler (2025). Caravan - A global community dataset for large-sample hydrology [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_6522634
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    Dataset updated
    Jan 16, 2025
    Dataset provided by
    Matias, Yossi
    Gilon, Oren
    Kratzert, Frederik
    Gauch, Martin
    Erickson, Tyler
    Nearing, Grey
    Nevo, Sella
    Klotz, Daniel
    Shalev, Guy
    Gudmundsson, Lukas
    Addor, Nans
    Hassidim, Avinatan
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This is the accompanying dataset to the following paper https://www.nature.com/articles/s41597-023-01975-w

    Caravan is an open community dataset of meteorological forcing data, catchment attributes, and discharge daat for catchments around the world. Additionally, Caravan provides code to derive meteorological forcing data and catchment attributes from the same data sources in the cloud, making it easy for anyone to extend Caravan to new catchments. The vision of Caravan is to provide the foundation for a truly global open source community resource that will grow over time.

    If you use Caravan in your research, it would be appreciated to not only cite Caravan itself, but also the source datasets, to pay respect to the amount of work that was put into the creation of these datasets and that made Caravan possible in the first place.

    All current development and additional community extensions can be found at https://github.com/kratzert/Caravan

    Channel Log:

    23 May 2022: Version 0.2 - Resolved a bug when renaming the LamaH gauge ids from the LamaH ids to the official gauge ids provided as "govnr" in the LamaH dataset attribute files.

    24 May 2022: Version 0.3 - Fixed gaps in forcing data in some "camels" (US) basins.

    15 June 2022: Version 0.4 - Fixed replacing negative CAMELS US values with NaN (-999 in CAMELS indicates missing observation).

    1 December 2022: Version 0.4 - Added 4298 basins in the US, Canada and Mexico (part of HYSETS), now totalling to 6830 basins. Fixed a bug in the computation of catchment attributes that are defined as pour point properties, where sometimes the wrong HydroATLAS polygon was picked. Restructured the attribute files and added some more meta data (station name and country).

    16 January 2023: Version 1.0 - Version of the official paper release. No changes in the data but added a static copy of the accompanying code of the paper. For the most up to date version, please check https://github.com/kratzert/Caravan

    10 May 2023: Version 1.1 - No data change, just update data description.

    17 May 2023: Version 1.2 - Updated a handful of attribute values that were affected by a bug in their derivation. See https://github.com/kratzert/Caravan/issues/22 for details.

    16 April 2024: Version 1.4 - Added 9130 gauges from the original source dataset that were initially not included because of the area thresholds (i.e. basins smaller than 100sqkm or larger than 2000sqkm). Also extended the forcing period for all gauges (including the original ones) to 1950-2023. Added two different download options that include timeseries data only as either csv files (Caravan-csv.tar.xz) or netcdf files (Caravan-nc.tar.xz). Including the large basins also required an update in the earth engine code

    16 Jan 2025: Version 1.5 - Added FAO Penman-Monteith PET (potential_evaporation_sum_FAO_PENMAN_MONTEITH) and renamed the ERA5-LAND potential_evaporation band to potential_evaporation_sum_ERA5_LAND. Also added all PET-related climated indices derived with the Penman-Monteith PET band (suffix "_FAO_PM") and renamed the old PET-related indices accordingly (suffix "_ERA5_LAND").

  7. i

    synthetic dataset for community detection

    • ieee-dataport.org
    Updated May 18, 2022
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    yi yuqi (2022). synthetic dataset for community detection [Dataset]. https://ieee-dataport.org/documents/synthetic-dataset-community-detection
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    Dataset updated
    May 18, 2022
    Authors
    yi yuqi
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Synthetic data 1: A network contains nine communities. The nodes insides the community are closely connected

  8. h

    Communes

    • opendata.hauts-de-seine.fr
    • data.smartidf.services
    csv, excel, geojson +1
    Updated Nov 29, 2019
    + more versions
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    (2019). Communes [Dataset]. https://opendata.hauts-de-seine.fr/explore/dataset/communes/
    Explore at:
    csv, json, excel, geojsonAvailable download formats
    Dataset updated
    Nov 29, 2019
    License

    Licence Ouverte / Open Licence 1.0https://www.etalab.gouv.fr/wp-content/uploads/2014/05/Open_Licence.pdf
    License information was derived automatically

    Description

    Limites communales du département des Hauts-de-Seine Jusqu'à la création du département des Hauts-de-Seine (loi 64-707 du 10 juillet 1964, entrée en vigueur le 1er janvier 1968), les communes étaient réparties entre le département de la Seine et le département de la Seine-et-Oise. Ce jeu de données vous propose les contours détaillés des 36 communes qui le compose.Observations particulièresLes limites communales du département sont une couche de référence. Cette donnée permet de cartographier l'ensemble des données tabulaires proposées sur le portail qui contiennent un code INSEE.Plusieurs organismes proposent en téléchargement les limites administratives communales. Chaque produit correspond à un besoin distinct et se traduit par une échelle de précision géographique : à petite échelle : les données de l'IGN (GéoFLA) ou de l'IAU sont pertinentes ; il s'agit d'un localisant permettant la cartographie statistique à la granularité de la commune privilégiant le rendu cartographique et non la précision ; les contours des polygones décrivant les communes sont généralisés. à moyenne échelle : il s'agit alors du thème des limites administratives d'OpenStreetMap ; la précision des limites est d'ordre décamétrique et permet une superposition correcte à d'autres données dans une plage d'échelle allant du 1:50 000 au 1:250 000 environ. Contrairement à GeoFLA, ces données ne sont pas diffusées sous licence ouverte, mais en licence ODbL. à grande échelle, les limites administratives sont cohérentes avec les limites portées sur le cadastre (DGFiP, APUR) ; en réalité, la précision de ces limites administratives varie considérablement selon les méthodes techniques utilisées pour leur établissement, de quelques centimètres pour les déterminations récentes en zone urbanisée à quelques mètres en montagne pour des déterminations topographiques issues d'une consultation de documents cadastraux et d'un report sur des levés topographiques.Données connexesAtelier Parisien d'Urbanisme (APUR)Accéder aux données ouvertes : les limites administratives, le transport (Grand Paris), …OpenStreetMap (OSM)Les communes françaises issues d'OpenStreetMap (contours simplifiés à 5m, 50m et 100m)Institut National de l'Information Géographique et Forestière (IGN)GEOFLA® CommunesInstitut Paris Région (IPR)Accéder aux données ouvertes de l'IPR (limites des communes d'Île-de-France)

  9. o

    Community Colleges - Dataset - Open Government Data

    • opendata.gov.jo
    Updated Apr 3, 2023
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    (2023). Community Colleges - Dataset - Open Government Data [Dataset]. https://opendata.gov.jo/dataset/community-colleges-1810-2010
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    Dataset updated
    Apr 3, 2023
    License

    Attribution-NonCommercial 2.0 (CC BY-NC 2.0)https://creativecommons.org/licenses/by-nc/2.0/
    License information was derived automatically

    Description

    Community Colleges

  10. A

    ‘Cache COMMUNE’ analyzed by Analyst-2

    • analyst-2.ai
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com), ‘Cache COMMUNE’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-europa-eu-cache-commune-8674/beacb324/?iid=006-365&v=presentation
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    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Analysis of ‘Cache COMMUNE’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/https-belfort-cab-opendata-arcgis-com-datasets-cab-cache-commune on 17 January 2022.

    --- Dataset description provided by original source is as follows ---

    {{description}}

    --- Original source retains full ownership of the source dataset ---

  11. e

    Simple download service (Atom) of the dataset: Restricted zone of the PPRGA...

    • data.europa.eu
    + more versions
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    Simple download service (Atom) of the dataset: Restricted zone of the PPRGA of the commune of Montégut (Gers) [Dataset]. https://data.europa.eu/88u/dataset/fr-120066022-srv-e95b48b1-6088-48a3-8d53-7676d6f3cfef
    Explore at:
    inspire download serviceAvailable download formats
    Description

    Regulatory zoning of the Risk Prevention Plan Withdrawal of the Argiles of the commune of Montégut in the department of Gers. The Regulations of the RPP describe the different requirements and recommendations intended to apply to each of the areas of the regulatory map. These requirements are essentially constructive provisions and are mainly aimed at the construction of new houses. However, some of them also apply to existing constructions. Depending on the type of construction (existing or future), some of these requirements are mandatory or simply recommended. The approved RPP is public utility easement and is enforceable against third parties.

  12. d

    ACS 5 Year Data by Community Area

    • catalog.data.gov
    • data.cityofchicago.org
    Updated Jun 7, 2025
    + more versions
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    data.cityofchicago.org (2025). ACS 5 Year Data by Community Area [Dataset]. https://catalog.data.gov/dataset/acs-5-year-data-by-community-area
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    Dataset updated
    Jun 7, 2025
    Dataset provided by
    data.cityofchicago.org
    Description

    Selected variables from the most recent ACS Community Survey (Released 2023) aggregated by Community Area. Additional years will be added as they become available. The underlying algorithm to create the dataset calculates the % of a census tract that falls within the boundaries of a given community area. Given that census tracts and community area boundaries are not aligned, these figures should be considered an estimate. Total population in this dataset: 2,647,621 Total Chicago Population Per ACS 2023: 2,664,452 % Difference: -0.632% There are different approaches in common use for displaying Hispanic or Latino population counts. In this dataset, following the approach taken by the Census Bureau, a person who identifies as Hispanic or Latino will also be counted in the race category with which they identify. However, again following the Census Bureau data, there is also a column for White Not Hispanic or Latino. Code can be found here: https://github.com/Chicago/5-Year-ACS-Survey-Data Community Area Shapefile: https://data.cityofchicago.org/Facilities-Geographic-Boundaries/Boundaries-Community-Areas-current-/cauq-8yn6 Census Area Python Package Documentation: https://census-area.readthedocs.io/en/latest/index.html

  13. a

    Post Offices Open Data

    • hub.arcgis.com
    • data.roanokecountyva.gov
    Updated Sep 25, 2024
    + more versions
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    County of Roanoke (2024). Post Offices Open Data [Dataset]. https://hub.arcgis.com/maps/Roanoke-Virginia::post-offices-open-data
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    Dataset updated
    Sep 25, 2024
    Dataset authored and provided by
    County of Roanoke
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    Community Facilities contains a point for public locations within Roanoke County and the surrounding localities. These points fall into the following categories: Schools, Parks & Rec, Polling Places, Public Safety, Libraries, Administration, General Services, Post Offices, Hospitals, and Museums. Each location is attributed with hours of operation, contact info, and URL reference. Subset categories are extracted to create standalone features such as School Sites in the Schools Dataset.

  14. h

    open-data-project

    • huggingface.co
    Updated Nov 21, 2024
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    Damien Johnston (2024). open-data-project [Dataset]. https://huggingface.co/datasets/damien-johnston/open-data-project
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 21, 2024
    Authors
    Damien Johnston
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    damien-johnston/open-data-project dataset hosted on Hugging Face and contributed by the HF Datasets community

  15. a

    Community Service Districts

    • hub.arcgis.com
    • gis-monomammoth.opendata.arcgis.com
    Updated Mar 6, 2018
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    Mono County & the Town of Mammoth Lakes, CA (2018). Community Service Districts [Dataset]. https://hub.arcgis.com/datasets/MonoMammoth::community-service-districts
    Explore at:
    Dataset updated
    Mar 6, 2018
    Dataset authored and provided by
    Mono County & the Town of Mammoth Lakes, CA
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Area covered
    Description

    This dataset depicts Community Service Districts within Mono County, CA.

  16. Trees

    • hub.arcgis.com
    • mapdirect-fdep.opendata.arcgis.com
    Updated Feb 1, 2019
    + more versions
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    Esri (2019). Trees [Dataset]. https://hub.arcgis.com/maps/esri::trees
    Explore at:
    Dataset updated
    Feb 1, 2019
    Dataset authored and provided by
    Esrihttp://esri.com/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    This layer features special areas of interest (AOIs) that have been contributed to Esri Community Maps using the new Community Maps Editor app. The data that is accepted by Esri will be included in selected Esri basemaps, including our suite of Esri Vector Basemaps, and made available through this layer to export and use offline. Export DataThe contributed data is also available for contributors and other users to export (or extract) and re-use for their own purposes. Users can export the full layer from the ArcGIS Online item details page by clicking the Export Data button and selecting one of the supported formats (e.g. shapefile, or file geodatabase (FGDB)). User can extract selected layers for an area of interest by opening in Map Viewer, clicking the Analysis button, viewing the Manage Data tools, and using the Extract Data tool. To display this data with proper symbology and metadata in ArcGIS Pro, you can download and use this layer file.Data UsageThe data contributed through the Community Maps Editor app is primarily intended for use in the Esri Basemaps. Esri staff will periodically (e.g. weekly) review the contents of the contributed data and either accept or reject the data for use in the basemaps. Accepted features will be added to the Esri basemaps in a subsequent update and will remain in the app for the contributor or others to edit over time. Rejected features will be removed from the app.Esri Community Maps Contributors and other ArcGIS Online users can download accepted features from this layer for their internal use or map publishing, subject to the terms of use below.

  17. 2013-2017 American Community Survey: 5-Year Estimates - Public Use Microdata...

    • catalog.data.gov
    • datasets.ai
    Updated Jul 19, 2023
    + more versions
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    U.S. Census Bureau (2023). 2013-2017 American Community Survey: 5-Year Estimates - Public Use Microdata Sample [Dataset]. https://catalog.data.gov/dataset/2013-2017-american-community-survey-5-year-estimates-public-use-microdata-sample
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    Dataset updated
    Jul 19, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    The American Community Survey (ACS) Public Use Microdata Sample (PUMS) contains a sample of responses to the ACS. The ACS PUMS dataset includes variables for nearly every question on the survey, as well as many new variables that were derived after the fact from multiple survey responses (such as poverty status).Each record in the file represents a single person, or, in the household-level dataset, a single housing unit. In the person-level file, individuals are organized into households, making possible the study of people within the contexts of their families and other household members. Individuals living in Group Quarters, such as nursing facilities or college facilities, are also included on the person file. ACS PUMS data are available at the nation, state, and Public Use Microdata Area (PUMA) levels. PUMAs are special non-overlapping areas that partition each state into contiguous geographic units containing roughly 100,000 people each. ACS PUMS files for an individual year, such as 2019, contain data on approximately one percent of the United States population.

  18. e

    Simple download service (Atom) of the dataset: Soil Observatory at the...

    • data.europa.eu
    unknown
    Updated Feb 18, 2022
    + more versions
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    (2022). Simple download service (Atom) of the dataset: Soil Observatory at the municipal level of the South East area of the department of DORDOGNE for 2013 — Beta version — Aggregate data [Dataset]. https://data.europa.eu/data/datasets/fr-120066022-srv-870e9795-e8dc-40d0-94b8-21a2b524d03d
    Explore at:
    unknownAvailable download formats
    Dataset updated
    Feb 18, 2022
    Description

    The description of the data is available in the data batch metadata sheet “Soil Observatory at the Municipal Level of the Region New-Aquitaine for 2013 — Beta Version” referenced below and accessible by the following address after insertion in your search engine:

    http://catalogue.geo-ide.developpement-durable.gouv.fr/catalogue/apps/search/?uuid=fr-120066022-ldd-2bd25601-a8bc-4a19-a0b8-7ebf519da483

    The geographical area covered by the data available here is the south-eastern quarter of the Dordogne department: — south of a line running from the commune of Eygurande and Gardedeuil (24165) to the west to the commune of Chavagnac (24117) to the east — east of a line from the commune of Vergt (24571) to the north to the commune of Sainte Sabine Born (24497) to the south.

    When using OSCOM data, it is advisable to refer to the file N_OSCOM2013_TxVectMajic_024.csv. If the rate of vectorisation of the communes studied is low, the relevance of the data should be checked before any conclusion is reached.

    The data is also available in WMS and WFS: Warnings — Position on the address, right click, copy the link address and paste into the WMS server connection dialog box, WFS. The use of another method leads to the appearance of parasitic spaces. — Problems with displaying multi polygons via the use of WFS (under resolution) — prefer data download if presence of multi polygons — WFS display of more than 500 objects via the WFS impossible at the moment

    WMS address for integration into a GIS from Geoide_Carto: http://data.geo-ide.application.developpement-durable.gouv.fr/WMS/228/OSCOM2013_024_donneesagr?

    WFS address for GIS integration (See warning above). http://ogc.geo-ide.developpement-durable.gouv.fr/cartes/mapserv?map=/opt/data/carto/geoide-catalogue/REG072A/JDD.www.map

  19. l

    Community Standards District (CSD) Subareas

    • data.lacounty.gov
    • geohub.lacity.org
    • +3more
    Updated Jan 18, 2019
    + more versions
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    County of Los Angeles (2019). Community Standards District (CSD) Subareas [Dataset]. https://data.lacounty.gov/maps/community-standards-district-csd-subareas
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    Dataset updated
    Jan 18, 2019
    Dataset authored and provided by
    County of Los Angeles
    Area covered
    Description

    The community standards districts are established as supplemental districts to provide a means of implementing special development standards contained in adopted neighborhood, community, area, specific and local coastal plans within the UNINCORPORATED areas of Los Angeles County, or to provide a means of addressing special problems which are unique to certain geographic areas within the unincorporated areas of Los Angeles County. For detailed development standards for each CSD, please refer to the Community Standards District portion of the Los Angeles County Code (click here).LAST UPDATED: 4/9/25 for several changes related to the West San Gabriel, and Westside Area Plan updates. These updates took effect on 4/10/25.NOTE - A decision was made at the Board of Supervisor's Hearing that the CSD and Setback updates not be included. However, the GIS layers were updated with these changes and were showing on GIS-NET and Open Data between 4/9/25 and 4/14/25. On 4/14/25, these un-adopted changes were removed and the correct data now shows.NEED MORE FUNCTIONALITY? If you are looking for more layers or advanced tools and functionality, then try our suite of GIS Web Mapping Applications.

  20. g

    Municipalities

    • gimi9.com
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    Municipalities [Dataset]. https://gimi9.com/dataset/eu_https-opendata-hauts-de-seine-fr-explore-dataset-communes-
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    License

    Licence Ouverte / Open Licence 1.0https://www.etalab.gouv.fr/wp-content/uploads/2014/05/Open_Licence.pdf
    License information was derived automatically

    Description

    Communal boundaries of the department of Hauts-de-Seine * * * Until the creation of the Hauts-de-Seine department (Law 64-707 of 10 July 1964, which entered into force on 1 January 1968), the communes were divided between the Seine department and the Seine-et-Oise department. This dataset offers you the detailed outlines of the 36 municipalities that compose it. Observations particulières The communal boundaries of the department are a reference layer. This data makes it possible to map all the tabular data proposed on the portal that contain an INSEE code. Several organizations offer for download the municipal administrative limits. Each product corresponds to a distinct need and results in a geographical precision scale: * on a small scale: IGN (GéoFLA) or IAU data are relevant; it is a locator allowing statistical mapping at the granularity of the municipality favouring cartographic rendering and not accuracy; the contours of the polygons describing the communes are generalised. * on a medium scale: this was the subject of the administrative boundaries of OpenStreetMap; the accuracy of the limits is of decametric order and allows a correct superposition to other data in a scale range from approximately 1:50 000 to 1:250 000. Unlike GeoFLA, this data is not released under an open license, but under an ODbL license. * on a large scale, the administrative limits are consistent with the limits on the cadastre (DGFiP, APUR); in fact, the accuracy of these administrative limits varies considerably according to the technical methods used for their establishment, from a few centimetres for recent determinations in urbanized areas to a few metres in the mountains for topographic determinations resulting from a consultation of cadastral documents and a report on topographic surveys. Related data Atelier Parisien d'Urbanisme (APUR) Access open data: administrative limits, transport (Grand Paris), ... OpenStreetMap (OSM) French municipalities from OpenStreetMap (simplified contours at 5m, 50m and 100m) Institut National de l'Information Géographique et Forestière (IGN) GEOFLA® Communes Institut Paris Région (IPR) Access the open data of the IPR (limits of the municipalities of Île-de-France)

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City of Tempe (2025). Addresses (Open Data) [Dataset]. https://catalog.data.gov/dataset/addresses-open-data

Addresses (Open Data)

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16 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jun 28, 2025
Dataset provided by
City of Tempe
Description

This dataset is a compilation of address point data for the City of Tempe. The dataset contains a point location, the official address (as defined by The Building Safety Division of Community Development) for all occupiable units and any other official addresses in the City. There are several additional attributes that may be populated for an address, but they may not be populated for every address. Contact: Lynn Flaaen-Hanna, Development Services Specialist Contact E-mail Link: Map that Lets You Explore and Export Address Data Data Source: The initial dataset was created by combining several datasets and then reviewing the information to remove duplicates and identify errors. This published dataset is the system of record for Tempe addresses going forward, with the address information being created and maintained by The Building Safety Division of Community Development.Data Source Type: ESRI ArcGIS Enterprise GeodatabasePreparation Method: N/APublish Frequency: WeeklyPublish Method: AutomaticData Dictionary

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