23 datasets found
  1. a

    PAC Complaints 2009 2012

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • hub.arcgis.com
    • +1more
    Updated Jun 17, 2015
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    City of Philadelphia (2015). PAC Complaints 2009 2012 [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/phl::pac-complaints-2009-2012
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    Dataset updated
    Jun 17, 2015
    Dataset authored and provided by
    City of Philadelphia
    Area covered
    Description

    Check out the police accountability app for more recent complaints data. View metadata for key information about this dataset.For more recent and maintained data, see the following datasets: complaints, complainant demographics, complaints disciplines, and complaints history.For questions about this dataset or for technical assistance, email maps@phila.gov.

  2. t

    California Spotted Owl PAC

    • tahoeopendata.org
    • data-trpa.opendata.arcgis.com
    • +1more
    Updated Feb 7, 2018
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    Tahoe Regional Planning Agency (2018). California Spotted Owl PAC [Dataset]. https://www.tahoeopendata.org/maps/TRPA::california-spotted-owl-pac-1
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    Dataset updated
    Feb 7, 2018
    Dataset authored and provided by
    Tahoe Regional Planning Agency
    License

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

    Area covered
    Description

    California spotted owl Protected Activity Centers (PACs) delineated for the Lake Tahoe Basin Management Unit as of July 22, 2008, mapped in accordance with the 2004 (or 2001) Sierra Neveda Forest Plan Amendment.

  3. t

    American Goshawk PAC

    • tahoeopendata.org
    • data-trpa.opendata.arcgis.com
    • +1more
    Updated Feb 7, 2018
    + more versions
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    Tahoe Regional Planning Agency (2018). American Goshawk PAC [Dataset]. https://www.tahoeopendata.org/datasets/TRPA::american-goshawk-pac
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    Dataset updated
    Feb 7, 2018
    Dataset authored and provided by
    Tahoe Regional Planning Agency
    License

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

    Area covered
    Description

    Northern goshawk Protected Activity Centers (PACs) delineated for the Lake Tahoe Basin Management Unit as of July 22, 2009. In accordance with the 2004 (or 2001) Sierra Nevada Forest Plan Amendment

  4. p

    LEADER Regions 2023-2027

    • data.public.lu
    Updated Jan 16, 2025
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    SIG-GR @ Ministère du Logement et de l'Aménagement du territoire - Département de l’aménagement du territoire (2025). LEADER Regions 2023-2027 [Dataset]. https://data.public.lu/en/datasets/leader-regions-2023-2027/
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    application/geopackage+sqlite3(9715712)Available download formats
    Dataset updated
    Jan 16, 2025
    Dataset authored and provided by
    SIG-GR @ Ministère du Logement et de l'Aménagement du territoire - Département de l’aménagement du territoire
    License

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

    Description

    LEADER Regions 2023-2027 Data: LVermGeo Rheinland-Pfalz, Ministère de l'Agriculture, de l’Alimentation et de la Viticulture Luxembourg, Ministerium für Umwelt, Klima, Mobilität, Agrar und Verbraucherschutz Saarland, Région Grand Est, Réseau wallon PAC. Harmonization: GIS-GR 2024 Link to interactive map: https://map.gis-gr.eu/theme/main?version=3&zoom=8&X=708580&Y=6429642&lang=fr&rotation=0&layers=2393&opacities=1&bgLayer=basemap_2015_global Link to Geocatalog: https://geocatalogue.gis-gr.eu/geonetwork/srv/eng/catalog.search#/metadata/d7dc29fe-9972-4e38-9dab-58439733d7cd WMS link: https://ws.geoportail.lu/wss/service/GR_Agriculture_WMS/guest with layer name(s): -GAL_LEADER_GR_2023_2027 -LAG_LEADER_SL_2023_2027_non_rural

  5. C

    Régions LEADER 2023-2027

    • grandest-moissonnage.data4citizen.com
    • grandestprod-backoffice.data4citizen.com
    • +1more
    html, wms
    Updated Aug 12, 2024
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    sig-grande-region (2024). Régions LEADER 2023-2027 [Dataset]. https://grandest-moissonnage.data4citizen.com/dataset/d7dc29fe-9972-4e38-9dab-58439733d7cd
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    wms, htmlAvailable download formats
    Dataset updated
    Aug 12, 2024
    Dataset provided by
    sig-grande-region
    Description
    • Régions LEADER 2023-2027

    • Données: LVermGeo Rheinland-Pfalz, Ministère de l'Agriculture, de l’Alimentation et de la Viticulture Luxembourg, Ministerium für Umwelt, Klima, Mobilität, Agrar und Verbraucherschutz Saarland, Région Grand Est, Réseau wallon PAC. Harmonisation: SIG-GR 2024

  6. Data from: Future environmental and agricultural impacts of Brazil's Forest...

    • doi.pangaea.de
    html, tsv
    Updated Oct 26, 2018
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    Aline C Soterroni; Aline Mosnier; Gilberto Câmara; Michael Obersteiner; Rebecca Brock; Johannes Pirker; Florian Kraxner; Petr Havlik; Erasmus K H J zu Ermgassen; Hugo Valin; Marluce Scarabello; Fernando M Ramos; Alexandre X Y Carvalho; Pedro R Andrade; Ricardo Cartaxo Souza; Valerie Kapos (2018). Future environmental and agricultural impacts of Brazil's Forest Code with GLOBIOM-Brazil, links to files in ArcGIS shapefile format [Dataset]. http://doi.org/10.1594/PANGAEA.895608
    Explore at:
    tsv, htmlAvailable download formats
    Dataset updated
    Oct 26, 2018
    Dataset provided by
    PANGAEA
    Authors
    Aline C Soterroni; Aline Mosnier; Gilberto Câmara; Michael Obersteiner; Rebecca Brock; Johannes Pirker; Florian Kraxner; Petr Havlik; Erasmus K H J zu Ermgassen; Hugo Valin; Marluce Scarabello; Fernando M Ramos; Alexandre X Y Carvalho; Pedro R Andrade; Ricardo Cartaxo Souza; Valerie Kapos
    License

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

    Area covered
    Variables measured
    File name, File size, File format, File content, Uniform resource locator/link to file
    Description

    This data set contains the input data and the land-use change projections according to the various scenarios of the paper Soterroni et al. (2018, doi:10.1088/1748-9326/aaccbb). The paper contains the main findings of the REDD-PAC project (www.redd-pac.org) and it describes the GLOBIOM-Brazil model, the regional version of GLOBIOM model for Brazil, an important tool for the RESTORE+ project (www.restoreplus.org). Both projects are part of the International Climate Initiative (IKI) supported by the Federal Ministry for the Environment, Nature Conservation and Nuclear Safety (BMU) based on a decision adopted by the German Bundestag.

  7. d

    Projections for Land Use Change in Brazil:2000-2050, links to files in...

    • search.dataone.org
    • doi.pangaea.de
    Updated Feb 14, 2018
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    Câmara, Gilberto; Buurman, Merret; Soterroni, Aline; Carvalho, Alexandre; Ramos, Fernando; Andrade, Pedro; Espíndola, Giovana; Souza, Ricardo Cartaxo; Affonso, Adriana; Pena, Marina; Mosnier, Aline; Mant, Rebecca; Havlik, Petr; Pirker, Johannes; Kraxner, Florian; Obersteiner, Michael; Kapos, Valerie; Bocqueho, Geraldine (2018). Projections for Land Use Change in Brazil:2000-2050, links to files in ArcGIS shapefile format [Dataset]. http://doi.org/10.1594/PANGAEA.866363
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    Dataset updated
    Feb 14, 2018
    Dataset provided by
    PANGAEA Data Publisher for Earth and Environmental Science
    Authors
    Câmara, Gilberto; Buurman, Merret; Soterroni, Aline; Carvalho, Alexandre; Ramos, Fernando; Andrade, Pedro; Espíndola, Giovana; Souza, Ricardo Cartaxo; Affonso, Adriana; Pena, Marina; Mosnier, Aline; Mant, Rebecca; Havlik, Petr; Pirker, Johannes; Kraxner, Florian; Obersteiner, Michael; Kapos, Valerie; Bocqueho, Geraldine
    Area covered
    Description

    This data set contains the inputs and the results of the REDD+ Policy Assessment Centre project (REDD-PAC) project (http://www.redd-pac.org), developed by a consortium of research institutes (IIASA, INPE, IPEA, UNEP-WCMC), supported by Germany's International Climate Initiative. Taking a new land use map of Brazil for 2000 as input, the research team used the global economic model GLOBIOM to project land use changes in Brazil up to 2050. Model projections show that Brazil has the potential to balance its goals of protecting the environment and becoming a major global producer of food and biofuels. The model results were taken into account by Brazilian decision-makers when developing the country's intended nationally determined contribution (INDC).

  8. a

    PAC

    • hub.arcgis.com
    • data-etsu.opendata.arcgis.com
    Updated Jul 4, 2018
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    East Tennessee State University (2018). PAC [Dataset]. https://hub.arcgis.com/maps/ETSU::pac
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    Dataset updated
    Jul 4, 2018
    Dataset authored and provided by
    East Tennessee State University
    Area covered
    Description

    Performing Arts Center UAV imagery.Updated: June 10, 2018

  9. GRSG 2015 USFWS StatusReview PACs

    • gis-fws.opendata.arcgis.com
    • gs-portal-fws.hub.arcgis.com
    Updated Feb 22, 2021
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    U.S. Fish & Wildlife Service (2021). GRSG 2015 USFWS StatusReview PACs [Dataset]. https://gis-fws.opendata.arcgis.com/datasets/fws::grsg-2015-usfws-statusreview-pacs
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    Dataset updated
    Feb 22, 2021
    Dataset provided by
    U.S. Fish and Wildlife Servicehttp://www.fws.gov/
    Authors
    U.S. Fish & Wildlife Service
    Area covered
    Description

    This polygon data set represents all sage-grouse Priority Areas for Conservation (PACs) identified in the 2013 Greater Sage-Grouse Conservation Objectives Team (COT) Report. PACs represent areas identified as essential for the long-term conservation of the sage-grouse. The COT determined that the PACs are key for the conservation of the species range wide.

    PAC polygons were provided by States. This data set has merged all State PACs together and cleaned up the polygons by filling in small gaps along state borders, closing any holes less than 10 acres, and removing any polygons less than 10 acres. This cleaning reduced noise in the data. PACs were then split by population using the ‘GRSG_2015_USFWS_StatusReview_Populations’ population data set. PACs also attributed with a unique ID number, Population, Management Zone, unique ID name, and acres. See the Supplemental Information for more details. For more information on how States compiled their data please see the 2013 Greater Sage-Grouse Conservation Objectives Team Report and/or the 2013_GSGCOT_PAC data.

    9/25/2014 - Updated by adding an additional PAC polygon in Montana. Additional PAC developed and supplied by Montana Fish, Wildlife, and Parks.

    File-based data for download: https://www.sciencebase.gov/catalog/item/56f96d88e4b0a6037df066a3


  10. SageSHCBaseLayers

    • gis-fws.opendata.arcgis.com
    • gs-portal-fws.hub.arcgis.com
    Updated Feb 22, 2021
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    U.S. Fish & Wildlife Service (2021). SageSHCBaseLayers [Dataset]. https://gis-fws.opendata.arcgis.com/maps/2831afa463f040e7a5d6f548203308b5
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    Dataset updated
    Feb 22, 2021
    Dataset provided by
    U.S. Fish and Wildlife Servicehttp://www.fws.gov/
    Authors
    U.S. Fish & Wildlife Service
    Area covered
    Description

    Hosted feature layer of Sage SHC Base Layers -The Sagebrush Biome Range Extent, as Derived from Classified Landsat Imageryand -Greater Sage-Grouse 2015 USFWS Status Review PACsClick on each layer of the Hosted Feature Layer for full metadataSagebrush Biome Range Extent file-based data for download: https://www.sciencebase.gov/catalog/item/5ccb4a64e4b09b8c0b7808a6Greater Sage-Grouse 2015 USFWS Status Review PACs file-based data for download: https://www.sciencebase.gov/catalog/item/56f96d88e4b0a6037df066a3

  11. a

    PAC 18 06 10 Ortho.tif

    • hub.arcgis.com
    Updated Jul 4, 2018
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    East Tennessee State University (2018). PAC 18 06 10 Ortho.tif [Dataset]. https://hub.arcgis.com/datasets/ETSU::pac-18-06-10-ortho-tif
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    Dataset updated
    Jul 4, 2018
    Dataset authored and provided by
    East Tennessee State University
    Area covered
    Description

    PAC_18_06_10_Ortho.tif

  12. a

    PAC 2018 02 18 Ortho.tif

    • hub.arcgis.com
    Updated Jul 4, 2018
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    East Tennessee State University (2018). PAC 2018 02 18 Ortho.tif [Dataset]. https://hub.arcgis.com/maps/ETSU::pac-2018-02-18-ortho-tif/about
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    Dataset updated
    Jul 4, 2018
    Dataset authored and provided by
    East Tennessee State University
    Area covered
    Description

    PAC_2018_02_18_Ortho.tif

  13. a

    Partners Against Crime (PAC) Districts

    • hub.arcgis.com
    • live-durhamnc.opendata.arcgis.com
    Updated Sep 11, 2023
    + more versions
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    City and County of Durham, NC (ArcGIS Online) (2023). Partners Against Crime (PAC) Districts [Dataset]. https://hub.arcgis.com/datasets/DurhamNC::partners-against-crime-pac-districts/explore
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    Dataset updated
    Sep 11, 2023
    Dataset authored and provided by
    City and County of Durham, NC (ArcGIS Online)
    License

    https://durhamnc.maps.arcgis.com/sharing/rest/content/items/9030dd38e1604f868db7c50fbded83b8/datahttps://durhamnc.maps.arcgis.com/sharing/rest/content/items/9030dd38e1604f868db7c50fbded83b8/data

    Area covered
    Description

    The Partners Against Crime (PAC) dataset illustrates the various PAC districts. The PAC program promotes collaboration among police officers, Durham residents, and city and county government officials to find sustainable solutions to community crime problems and quality of life issues. It is a community based volunteer organization that promotes and executes safety strategies to prevent crime at the neighborhood level. Each of Durham Police Department’s 5 police districts has a PAC organization that holds monthly PAC meetings.

  14. a

    PAC 2017 10 21 Ortho.tif

    • data-etsu.opendata.arcgis.com
    Updated Jul 4, 2018
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    East Tennessee State University (2018). PAC 2017 10 21 Ortho.tif [Dataset]. https://data-etsu.opendata.arcgis.com/maps/74de22af209148089782af74f30f5fdd
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    Dataset updated
    Jul 4, 2018
    Dataset authored and provided by
    East Tennessee State University
    Area covered
    Description

    PAC_2017_10_21_Ortho.tif

  15. a

    PAC 180527 Ortho.tif

    • hub.arcgis.com
    Updated Jul 4, 2018
    + more versions
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    East Tennessee State University (2018). PAC 180527 Ortho.tif [Dataset]. https://hub.arcgis.com/maps/ETSU::pac-180527-ortho-tif
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    Dataset updated
    Jul 4, 2018
    Dataset authored and provided by
    East Tennessee State University
    Area covered
    Description

    PAC_180527_Ortho.tif

  16. BLM OR Greater Sage Grouse General and Priority Habitat Management Area...

    • gbp-blm-egis.hub.arcgis.com
    • catalog.data.gov
    Updated Apr 18, 2025
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    Bureau of Land Management (2025). BLM OR Greater Sage Grouse General and Priority Habitat Management Area Polygon Hub [Dataset]. https://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-or-greater-sage-grouse-general-and-priority-habitat-management-area-polygon-hub
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    Dataset updated
    Apr 18, 2025
    Dataset authored and provided by
    Bureau of Land Managementhttp://www.blm.gov/
    Area covered
    Description

    The purpose of this dataset is to record polygon features identified as Greater Sage-Grouse Priority and General Habitat Management Areas in Eastern Oregon for use in the Greater Sage-grouse RMP Amendments ROD, signed January 16, 2025. The dataset Greater Sage-Grouse General and Priority Habitat Management Areas (GRSG_HMA) has been historically referred to as GHMA/PHMA. "Priority Habitat Management Areas (PHMA) have the highest value to maintaining sustainable GRSG populations and can include breeding, late brood-rearing, winter concentration areas, and migration or connectivity corridors. The BLM intent for these areas is to maintain and enhance habitat conditions that will support persistent and healthy GRSG populations through management to minimize habitat loss and degradation. General Habitat Management Areas (GHMA) are lands that are, or have the potential to become, occupied seasonal or year-round habitat outside of PHMA, managed to sustain GRSG populations. These areas are defined differentially by state wildlife management agencies but generally are of poorer GRSG habitat quality with reduced occupancy when compared to PHMA. Some state wildlife agencies have identified areas of GHMA as important for restoration, connectivity, or seasonal habitats. The intent for GHMA is to maintain habitat conditions to support GRSG populations consistent with the state agency designations of recovery, connectivity, or seasonal habitats. USDI Bureau of Land Management. 2025. Greater Sage-Grouse Rangewide Planning Record of Decision and Approved Resource Management Plan Amendment for Oregon. January 2025. 302 pp.

    https://eplanning.blm.gov/public_projects/2016719/200502020/20126642/251026622/Oregon%20ROD%20&%20ARMPA%20-%201.15.2025.pdf

    The Oregon Department of Fish and Wildlife sage-grouse core and low-density habitat map was originally delineated in 2011 as one component of the Oregon Sage-Grouse Conservation Assessment and Strategy (CAAS). The core and low-density habitat map was updated in 2023 with the Department's most recent sage-grouse data and the best available science, following the methodology outlined in the CAAS. As part of the update process, the draft map was reviewed by ODFW District Biologists, cooperating agency biologists, conservation partners, and the public to ground-truth and refine the boundaries at a 1:10,000 scale. The final map was adopted by the Oregon Fish and Wildlife Commission on 15 December 2023. Updated sage-grouse Priority Area for Conservation (PAC) boundaries were delineated within the final approved core habitat and appropriately named. ODFW sage-grouse core habitat and sage-grouse PACs are analogous. The BLM Oregon PHMA and GHMA HMAs were identified using ODFW core and low-density sage-grouse habitat designations from December 2023. PHMA boundaries are equal to ODFW’s core habitat. GHMA boundaries equate to ODFWs low density habitat plus Habitat Assessment Framework (HAF) mapped seasonal habitat.

  17. a

    Désertification - indicateurs

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Oct 17, 2016
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    Centre d'enseignement Saint-Joseph de Chimay (2016). Désertification - indicateurs [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/ddc3cf0ccef4498dac0778f76fe7e6e3
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    Dataset updated
    Oct 17, 2016
    Dataset authored and provided by
    Centre d'enseignement Saint-Joseph de Chimay
    Area covered
    Description

    The World Atlas of Desertification was published by UNEP in 1992 as the result of a cooperative effort between UNEP's Desertification Control Programme Activity Centre (DC/PAC), the Global Environment Monitoring System (GEMS) and the Global Resource Information Database (GRID). GRID compiled and/or derived most of the global and regional databases, produced the maps and carried out the data analyses and tabulations for the Atlas, assisted by a Technical Advisory Group on Desertification Assessment and Mapping composed of various international experts. The Atlas includes information and many maps derived from the Global Assessment of Human-Induced Soil Degradation (GLASOD), as conducted in 1990 by the International Soil Reference and Information Centre (ISRIC) at Wageningen, The Netherlands, on behalf of UNEP.

    Aside from GLASOD's data on soil degradation, and in order to capture the multi-dimensional nature of global desertification processes, other data layers relating to global climate and vegetation were compiled by GRID for inclusion in the 1992 World Atlas of Desertification. The NOAA/GVI data set described herein was created by GRID-Nairobi as a unique product for the Desertification Atlas, in order to represent baseline or "normal" conditions of global vegetation, and to be used in combination with the climate, GLASOD and land degradation data sets.

  18. a

    Mean Annual Precipitation

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Jul 27, 2015
    + more versions
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    UN Environment, Early Warning &Data Analytics (2015). Mean Annual Precipitation [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/uneplive::mean-annual-precipitation/data
    Explore at:
    Dataset updated
    Jul 27, 2015
    Dataset authored and provided by
    UN Environment, Early Warning &Data Analytics
    Area covered
    Description

    The World Atlas of Desertification was published by UNEP in 1992 as the result of a cooperative effort between UNEP's Desertification Control Programme Activity Centre (DC/PAC), the Global Environment Monitoring System (GEMS) and the Global Resource Information Database (GRID). GRID compiled and/or derived most of the global and regional databases, produced the maps and carried out the data analyses and tabulations for the Atlas, assisted by a Technical Advisory Group on Desertification Assessment and Mapping composed of various international experts. The Atlas includes information and many maps derived from the Global Assessment of Human-Induced Soil Degradation (GLASOD), as conducted in 1990 by the International Soil Reference and Information Centre (ISRIC) at Wageningen, The Netherlands, on behalf of UNEP.

    Aside from GLASOD's data on soil degradation, and in order to capture the multi-dimensional nature of global desertification processes, other data layers relating to global climate and vegetation were compiled by GRID for inclusion in the 1992 World Atlas of Desertification. The NOAA/GVI data set described herein was created by GRID-Nairobi as a unique product for the Desertification Atlas, in order to represent baseline or "normal" conditions of global vegetation, and to be used in combination with the climate, GLASOD and land degradation data sets.

  19. HUD Section 202 Properties

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • data.lojic.org
    • +3more
    Updated Dec 19, 2019
    + more versions
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    Department of Housing and Urban Development (2019). HUD Section 202 Properties [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/HUD::hud-section-202-properties/about
    Explore at:
    Dataset updated
    Dec 19, 2019
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Authors
    Department of Housing and Urban Development
    Area covered
    Description

    This feature service denotes the locations of HUD assisted Multi-Family properties that primarily serve elderly residents. In addition, each property illustrated through this service has at least one active Service Coordinator contract or grant, Section 236 loan, Section 8 202 contract, Section 8 Farmers Home Administration (FMHA) 515 contract, Section 8 New Construction contract, Section 202 Project Assistance Contracts (PAC) contract, and Section 202 Project Rental Assistance Contract (PRAC).Please note that the data provided through this service only includes location data and attributes for those addresses that can be geocoded to an interpolated point along a street segment, or to a ZIP+4 centroid location. While not all records are able to be geocoded and mapped, we are continuously working to improve the address data quality and enhance coverage. Please consider this issue when using any datasets provided by HUD.To learn more about the Section 202 Program visit: https://www.hud.gov/program_offices/housing/mfh/progdesc/eld202, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Data Dictionary: DD_Multifamily PropertiesDate of Coverage: 06/2025

  20. a

    Humidity Index

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Feb 13, 2017
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    Centre d'enseignement Saint-Joseph de Chimay (2017). Humidity Index [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/6113584d3f994c1db657e1416cb00521
    Explore at:
    Dataset updated
    Feb 13, 2017
    Dataset authored and provided by
    Centre d'enseignement Saint-Joseph de Chimay
    Area covered
    Description

    The World Atlas of Desertification was published by UNEP in 1992 as the result of a cooperative effort between UNEP's Desertification Control Programme Activity Centre (DC/PAC), the Global Environment Monitoring System (GEMS) and the Global Resource Information Database (GRID). GRID compiled and/or derived most of the global and regional databases, produced the maps and carried out the data analyses and tabulations for the Atlas, assisted by a Technical Advisory Group on Desertification Assessment and Mapping composed of various international experts. The Atlas includes information and many maps derived from the Global Assessment of Human-Induced Soil Degradation (GLASOD), as conducted in 1990 by the International Soil Reference and Information Centre (ISRIC) at Wageningen, The Netherlands, on behalf of UNEP.

    Aside from GLASOD's data on soil degradation, and in order to capture the multi-dimensional nature of global desertification processes, other data layers relating to global climate and vegetation were compiled by GRID for inclusion in the 1992 World Atlas of Desertification. The NOAA/GVI data set described herein was created by GRID-Nairobi as a unique product for the Desertification Atlas, in order to represent baseline or "normal" conditions of global vegetation, and to be used in combination with the climate, GLASOD and land degradation data sets.

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City of Philadelphia (2015). PAC Complaints 2009 2012 [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/phl::pac-complaints-2009-2012

PAC Complaints 2009 2012

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Dataset updated
Jun 17, 2015
Dataset authored and provided by
City of Philadelphia
Area covered
Description

Check out the police accountability app for more recent complaints data. View metadata for key information about this dataset.For more recent and maintained data, see the following datasets: complaints, complainant demographics, complaints disciplines, and complaints history.For questions about this dataset or for technical assistance, email maps@phila.gov.

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