14 datasets found
  1. a

    Lima Lake data - contours

    • gis-odnr.opendata.arcgis.com
    Updated Nov 6, 2024
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    Ohio Department of Natural Resources (2024). Lima Lake data - contours [Dataset]. https://gis-odnr.opendata.arcgis.com/datasets/lima-lake-data-contours
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    Dataset updated
    Nov 6, 2024
    Dataset authored and provided by
    Ohio Department of Natural Resources
    License

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

    Area covered
    Lima
    Description

    Download .zipThis file contains the data used by the Division of Wildlife for the construction of lake maps. Data was collected in the Ohio State Plane Coordinate System for both the northern and southern state planes in the Lambert Projection Zone. Except for the lakes in extreme western Ohio which is in UTM zone 16N the majority of lakes are in UTM zone 17N and datum NAD83. Data were collected by the Ohio Division of Wildlife using a Trimble GPS Pathfinder Pro XRS receiver and Recon datalogger. Geocoding of depths typically occurred during water levels that were ± 60 cm of full recreational pool while transversing the reservoir at 100m intervals driving at a vessel speed of 2.0-2.5 m/s. Depth contour lines were derived by creating a raster file from the point bathymetry and boundary lake data. ArcGIS Spatial Analyst Interpolation tool outputs point data that is then changed into polyline contours using the Spatial Analyst Surface tool. Additional details on the digitizing process are available upon request.Contact Information:GIS Support, ODNR GIS ServicesOhio Department of Natural ResourcesDivision of Wildlife2045 Morse Rd, Bldg G-2Columbus, OH, 43229Telephone: 614-265-6462Email: gis.support@dnr.ohio.gov Data Update Frequency: As Needed

  2. a

    Physical Violence in Lima (2017 - 2020)

    • hub-latin-america-geocentro.hub.arcgis.com
    Updated Feb 1, 2022
    + more versions
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    GEOcentro USFQ (2022). Physical Violence in Lima (2017 - 2020) [Dataset]. https://hub-latin-america-geocentro.hub.arcgis.com/datasets/physical-violence-in-lima-2017-2020
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    Dataset updated
    Feb 1, 2022
    Dataset authored and provided by
    GEOcentro USFQ
    Area covered
    Description

    Information on cases of physical violence of the women's emergency center (CEM) by districts

  3. a

    Lima 2022 ECORED STEW-MAP Map LIVE

    • usfs.hub.arcgis.com
    Updated Sep 21, 2022
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    U.S. Forest Service (2022). Lima 2022 ECORED STEW-MAP Map LIVE [Dataset]. https://usfs.hub.arcgis.com/maps/usfs::lima-2022-ecored-stew-map-map-live
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    Dataset updated
    Sep 21, 2022
    Dataset authored and provided by
    U.S. Forest Service
    Area covered
    Description

    El Mapa de la Ecored -Lima es un proyecto de Ficus Perú Desarrollo Ambiental en coordinación con el USDA Forest Service, siguiendo el Stewardship Mapping and Assessment Project (STEW-MAP), el mismo que es un programa nacional de investigación del Servicio Forestal del USDA diseñado para responder a las siguientes preguntas: ¿Qué grupos de gestión medioambiental trabajan en las distintas áreas? ¿Dónde, por qué, cómo y con qué efectos? STEW-MAP define un "grupo de gestión" como una organización o grupo cívico que trabaja para conservar, gestionar, supervisar, defender y/o educar al público sobre su entorno local. Los datos de STEW-MAP se comparten sin incluir información personal identificable de los encuestados. Este conjunto de datos incluye los resultados de la encuesta STEW-MAP de la ciudad de Lima el 2022. La información de contacto se proporciona a nivel de organización (por ejemplo, grupo cívico de administración ambiental). Esta versión pública del conjunto de datos solo incluye los grupos de la base de datos que aceptaron aparecer en la lista pública. Para más información sobre STEW-MAP, incluidos los métodos, véase https://www.fs.usda.gov/research/projects/stew-map.The Stewardship Mapping and Assessment Project (STEW-MAP) is a national USDA Forest Service research program designed to answer the questions: Which environmental stewardship groups are working across landscapes? Where, why, how, and to what effect? STEW-MAP defines a “stewardship group” as a civic organization or group that works to conserve, manage, monitor, advocate for, and/or educate the public about their local environments. STEW-MAP data are shared without the inclusion of personally identifiable information of individual respondents. This dataset includes results from the 2022 Lima ECORED STEW-MAP survey. Contact information is provided at the organizational (e.g., civic environmental stewardship group) level. This public version of the dataset only includes those groups in the database that agreed to be publicly listed. For more information on STEW-MAP, including methods, see https://www.fs.usda.gov/research/projects/stew-map.

  4. Map Of Streets And Constructions Of The Historic Center Of Lima

    • hub.tumidata.org
    url
    Updated Nov 6, 2025
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    TUMI (2025). Map Of Streets And Constructions Of The Historic Center Of Lima [Dataset]. https://hub.tumidata.org/dataset/map_of_streets_and_constructions_of_the_historic_center_of_lima_lima
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    urlAvailable download formats
    Dataset updated
    Nov 6, 2025
    Dataset provided by
    Tumi Inc.http://www.tumi.com/
    Area covered
    Lima
    Description

    Map Of Streets And Constructions Of The Historic Center Of Lima)
    This dataset falls under the category Individual Transport – Street Network Geometries (Geodata).
    It contains the following data: Map of Streets and buildings of the Historic Center of Lima. The data can be accessed using the following URL / API Endpoint: https://sit.icl.gob.pe:6443/arcgis/rest/services/AGOL_Servicios/CENTRO_HISTORICO_DE_LIMA/MapServer?f=jsapi
    This dataset was scouted on 2022-02-27 as part of a data sourcing project conducted by TUMI. License information might be outdated: Check original source for current licensing. See URL for data access and license information. Please note: This link leads to an external resource. If you experience any issues with its availability, please try again later.

  5. a

    Human Development Index in Lima city

    • hub-latin-america-geocentro.hub.arcgis.com
    Updated Feb 1, 2022
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    GEOcentro USFQ (2022). Human Development Index in Lima city [Dataset]. https://hub-latin-america-geocentro.hub.arcgis.com/datasets/f073659793564ce99d9b3f683039d8f8
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    Dataset updated
    Feb 1, 2022
    Dataset authored and provided by
    GEOcentro USFQ
    Area covered
    Description

    Information about Human Development Index

  6. Analysis through ArcGIS regarding the groups and time points.

    • plos.figshare.com
    • figshare.com
    xls
    Updated Nov 14, 2024
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    Eloiza Leonardo de Melo; Jéssica Meirinhos Miranda; Vanessa Bastos de Souza Rolim Lima; Wyndly Daniel Cardoso Gaião; Braulio de Vilhena Amorim Tostes; Claudio Gabriel Rodrigues; Márcia Bezerra da Silva; Severino Alves Júnior; Edson Luiz Pontes Perger; Mávio Eduardo Azevedo Bispo; Marleny Elizabeth Márquez de Martínez Gerbi (2024). Analysis through ArcGIS regarding the groups and time points. [Dataset]. http://doi.org/10.1371/journal.pone.0313787.t004
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    xlsAvailable download formats
    Dataset updated
    Nov 14, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Eloiza Leonardo de Melo; Jéssica Meirinhos Miranda; Vanessa Bastos de Souza Rolim Lima; Wyndly Daniel Cardoso Gaião; Braulio de Vilhena Amorim Tostes; Claudio Gabriel Rodrigues; Márcia Bezerra da Silva; Severino Alves Júnior; Edson Luiz Pontes Perger; Mávio Eduardo Azevedo Bispo; Marleny Elizabeth Márquez de Martínez Gerbi
    License

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

    Description

    Analysis through ArcGIS regarding the groups and time points.

  7. a

    Educational achievement in Lima city

    • hub-latin-america-geocentro.hub.arcgis.com
    Updated Feb 1, 2022
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    GEOcentro USFQ (2022). Educational achievement in Lima city [Dataset]. https://hub-latin-america-geocentro.hub.arcgis.com/datasets/9e8b58ab270745b2ad17fdf9db1c34ab
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    Dataset updated
    Feb 1, 2022
    Dataset authored and provided by
    GEOcentro USFQ
    Area covered
    Description

    Information about educational achievement

  8. a

    Sexual Violence in Lima (2017 - 2020)

    • hub-latin-america-geocentro.hub.arcgis.com
    Updated Feb 1, 2022
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    GEOcentro USFQ (2022). Sexual Violence in Lima (2017 - 2020) [Dataset]. https://hub-latin-america-geocentro.hub.arcgis.com/datasets/ec32896acc7c4a6bb16b57c33da5494e
    Explore at:
    Dataset updated
    Feb 1, 2022
    Dataset authored and provided by
    GEOcentro USFQ
    Area covered
    Description

    Information on cases of sexual violence from the women's emergency center (CEM) by districts

  9. a

    Water and Sewer Service Areas - Allen County

    • hub.arcgis.com
    Updated Nov 6, 2024
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    Ohio Department of Natural Resources (2024). Water and Sewer Service Areas - Allen County [Dataset]. https://hub.arcgis.com/documents/2f3e616b45c54874964151ac59be3c9f
    Explore at:
    Dataset updated
    Nov 6, 2024
    Dataset authored and provided by
    Ohio Department of Natural Resources
    License

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

    Description

    Download .zipThis theme shows existing and planned sewer facility service areas for each municipality in the county in 1982. The areas were delineated on USGS Quadrangle maps by the Lima-Allen County Regional Planning Commission.

    This coverage was digitized from a USGS quadrangle map base utilizing a run length encoding technique sampling along horizontal lines which represented the midline of cells with a height of 250 ft. The measurement increment along these horizontal lines was one decafoot (10 feet). The quadrangle files were then merged into a county file which was subsequently converted to ARC/INFO format.

    The user should bear in mind that this coverage is only an approximation of the boundaries as originally drafted . Additional details on the digitizing process are available on request.

    Original coverage data was converted from the .e00 file to a more standard ESRI shapefile(s) in November 2014.Contact Information:GIS Support, ODNR GIS ServicesOhio Department of Natural ResourcesReal Estate & Land ManagementReal Estate and Lands Management2045 Morse Rd, Bldg I-2Columbus, OH, 43229Telephone: 614-265-6462Email: gis.support@dnr.ohio.gov Data Update Frequency: As Needed

  10. a

    Covid 19 Mortality Rate in Lima city

    • hub-latin-america-geocentro.hub.arcgis.com
    Updated Feb 1, 2022
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    GEOcentro USFQ (2022). Covid 19 Mortality Rate in Lima city [Dataset]. https://hub-latin-america-geocentro.hub.arcgis.com/datasets/covid-19-mortality-rate-in-lima-city
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    Dataset updated
    Feb 1, 2022
    Dataset authored and provided by
    GEOcentro USFQ
    Area covered
    Description

    Information about COVID19 deaths registered in the National Death Information System

  11. a

    Zoning, 1982 - Allen County

    • gis-odnr.opendata.arcgis.com
    • hub.arcgis.com
    Updated Nov 6, 2024
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    Ohio Department of Natural Resources (2024). Zoning, 1982 - Allen County [Dataset]. https://gis-odnr.opendata.arcgis.com/documents/b3b3f9686b73468b810c1fb865432051
    Explore at:
    Dataset updated
    Nov 6, 2024
    Dataset authored and provided by
    Ohio Department of Natural Resources
    License

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

    Area covered
    Allen County
    Description

    Download .zipThis theme shows zoning for Allen County in 1982 as provided by the Lima-Allen County Regional Planning Commission.

    This coverage was digitized from zoning drafted onto USGS quadrangle maps utilizing a run length encoding technique sampling along horizontal lines which represent the midline of cells with a height of 250 feet . The measurement increment along these horizontal lines was one decafoot (10 feet) the quadrangle files were then merged into a county file which was subsequently converted to ARC / Info format.

    The user should bear in mind that this coverage is only an approximation of the zoning as drafted.

    Additional details on the digitizing process are available on request.

    Original coverage data was converted from the .e00 file to a more standard ESRI shapefile(s) in November 2014.Contact Information:GIS Support, ODNR GIS ServicesOhio Department of Natural ResourcesReal Estate & Land ManagementReal Estate and Lands Management2045 Morse Rd, Bldg I-2Columbus, OH, 43229Telephone: 614-265-6462Email: gis.support@dnr.ohio.gov Data Update Frequency: As Needed

  12. a

    Sistema Vial Metropolitano A74

    • ciencia-datos-espaciales-mmlimp.hub.arcgis.com
    Updated Dec 20, 2023
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    atrujillo_MMLIMP (2023). Sistema Vial Metropolitano A74 [Dataset]. https://ciencia-datos-espaciales-mmlimp.hub.arcgis.com/datasets/fa06e874769e4159b830ef1e6fc4468f
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    Dataset updated
    Dec 20, 2023
    Dataset authored and provided by
    atrujillo_MMLIMP
    Area covered
    Description

    Diciembre 2023

  13. a

    Wildfire in the Amazonia

    • amerigeoweek2019-amerigeoss.hub.arcgis.com
    Updated Aug 22, 2019
    + more versions
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    AmeriGEOSS (2019). Wildfire in the Amazonia [Dataset]. https://amerigeoweek2019-amerigeoss.hub.arcgis.com/datasets/wildfire-in-the-amazonia
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    Dataset updated
    Aug 22, 2019
    Dataset authored and provided by
    AmeriGEOSS
    Description

    Story map que muestra el estado actual del incendio forestal en la Amazonía boliviana.Originator: Natalia Indira Vargas Cuentasemail: natalia.i.vargascuentas@ieee.orgInstitution: Image Processing Research LaboratoryCreated: 22/08/2019Last Updated: 23/08/2019Country: BoliviaLenguage: SpanishAmeriGEOSS Week 2019 (Lima - Peru)

  14. a

    GEOCATMIN - Hidrogeologia Nacional

    • hub.arcgis.com
    • peru-ide-amerigeoss.hub.arcgis.com
    Updated Jul 2, 2013
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    GEOCATMIN (2013). GEOCATMIN - Hidrogeologia Nacional [Dataset]. https://hub.arcgis.com/maps/ingemmet-peru::geocatmin-hidrogeologia-nacional/about
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    Dataset updated
    Jul 2, 2013
    Dataset authored and provided by
    GEOCATMIN
    Area covered
    Description

    Conjunto de datos que corresponden al mapa Hidrogeologico Nacional, informacion proporcionada por el area de cartografia mediante memo correlativo 000095890 en atencion al oficion N° 1096-2009-MEM/DGER. La informacion fue almacenada en la Geodatabase Institucional el Dia Jueves 05 de Noviembre del 2009 Palabras: Hidrogeologia, hidrografia, cuencas, fuentes, agua, termales, hidrotermal, caliente, geotermal. Extent West -81.331177 East -68.589560 North -0.032154 South -18.342395 Title GEOCATMIN:Mapa Hidrogeologico Alternate titles  Mapa Hidrogeologico del Peru, Hidrogeologia Nacional Edition 2010 Edition date 2010-01-01 Presentation formats  * digital map Citation Contacts Individual's name Lionel Fidel Smoll Organization's name Instituto Geologico Minero y Metalurgico Contact's position Director de Geología Ambiental y Riesgo Geológico Contact's role  principal investigator Contact information  Phone  Voice 6189800 Address  Delivery point Avenida Canada 1470 San Borja City Lima Administrative area Lima Postal code 043 Country pe e-mail address lfidel@ingemmet.gob.pe

  15. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Ohio Department of Natural Resources (2024). Lima Lake data - contours [Dataset]. https://gis-odnr.opendata.arcgis.com/datasets/lima-lake-data-contours

Lima Lake data - contours

Explore at:
Dataset updated
Nov 6, 2024
Dataset authored and provided by
Ohio Department of Natural Resources
License

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

Area covered
Lima
Description

Download .zipThis file contains the data used by the Division of Wildlife for the construction of lake maps. Data was collected in the Ohio State Plane Coordinate System for both the northern and southern state planes in the Lambert Projection Zone. Except for the lakes in extreme western Ohio which is in UTM zone 16N the majority of lakes are in UTM zone 17N and datum NAD83. Data were collected by the Ohio Division of Wildlife using a Trimble GPS Pathfinder Pro XRS receiver and Recon datalogger. Geocoding of depths typically occurred during water levels that were ± 60 cm of full recreational pool while transversing the reservoir at 100m intervals driving at a vessel speed of 2.0-2.5 m/s. Depth contour lines were derived by creating a raster file from the point bathymetry and boundary lake data. ArcGIS Spatial Analyst Interpolation tool outputs point data that is then changed into polyline contours using the Spatial Analyst Surface tool. Additional details on the digitizing process are available upon request.Contact Information:GIS Support, ODNR GIS ServicesOhio Department of Natural ResourcesDivision of Wildlife2045 Morse Rd, Bldg G-2Columbus, OH, 43229Telephone: 614-265-6462Email: gis.support@dnr.ohio.gov Data Update Frequency: As Needed

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