22 datasets found
  1. a

    ServiceLine viewing

    • lead-service-line-inventory-magic.hub.arcgis.com
    • data.olatheks.org
    • +80more
    Updated Mar 7, 2024
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    Muscatine Area Geographic Information Consortium (2024). ServiceLine viewing [Dataset]. https://lead-service-line-inventory-magic.hub.arcgis.com/datasets/serviceline-viewing
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    Dataset updated
    Mar 7, 2024
    Dataset authored and provided by
    Muscatine Area Geographic Information Consortium
    License
    Area covered
    Description

    A feature layer view with view only capabilities.

  2. a

    Service Line Self-Assessment viewing

    • lead-service-line-inventory-magic.hub.arcgis.com
    • lead-service-line-inventory-1-arcgis4localgov2.hub.arcgis.com
    • +14more
    Updated Mar 7, 2024
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    Muscatine Area Geographic Information Consortium (2024). Service Line Self-Assessment viewing [Dataset]. https://lead-service-line-inventory-magic.hub.arcgis.com/items/27bdc585ded74f2b87693f1942fafc2a
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    Dataset updated
    Mar 7, 2024
    Dataset authored and provided by
    Muscatine Area Geographic Information Consortium
    License
    Area covered
    Description

    View-only feature service of the water service line material survey submitted by the public.

  3. e

    exp occitanie zas 2023 pm10 moyan

    • data.europa.eu
    Updated Oct 9, 2024
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    (2024). exp occitanie zas 2023 pm10 moyan [Dataset]. https://data.europa.eu/data/datasets/https-www-arcgis-com-home-item-html-id-f5a641f0f7a849b7931c6735587cf3aa-sublayer-4/embed?locale=en
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    kml, arcgis geoservices rest api, csv, esri file geodatabase, geojson, excel xlsx, zip, web page, geopackage, plain textAvailable download formats
    Dataset updated
    Oct 9, 2024
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Description

    Inspire genealogy: Indicators of exceedance of limit values (40 μg/m3 annual average for NO2 and PM10 and 35 days above 50 μg/m3 for PM10)). These indicators are the number of affected inhabitants and the cumulative area. Data created with a model of atmospheric dispersion at the local scale for the ZAG and ZAR of the Occitanie region and at the regional scale for the ZR. Use of the emission inventory of the Occitanie region.

    Modeling carried out in accordance with the recommendations of the business standard of the Central Air Quality Monitoring Laboratory (LCSQA). Demographic data comes from the Magic pop repository.

    WFS flows: https://dservices9.arcgis.com/7Sr9Ek9c1QTKmbwr/arcgis/services/exp_occitanie_zas_2023/WFSServer?service=wfs&request=getcapabilities

    Metadata sheet: https://catalogue.picto-occitanie.fr/geonetwork/srv/fre/catalog.search#/metadata/17f213f5-7219-4bf4-b32f-9f933efabd7a

  4. d

    exp occitanie zas 2017 no2 moyan

    • data.gouv.fr
    • data.europa.eu
    • +1more
    Updated Oct 10, 2024
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    Atmo Occitanie (2024). exp occitanie zas 2017 no2 moyan [Dataset]. https://www.data.gouv.fr/en/datasets/exp-occitanie-zas-2017-no2-moyan-1/
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    kml, zip, xls, html, json, application/geopackage+sqlite3, txt, csv, application/vnd.geo+jsonAvailable download formats
    Dataset updated
    Oct 10, 2024
    Dataset authored and provided by
    Atmo Occitanie
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Area covered
    Occitanie
    Description

    Généalogie au sens Inspire : Indicateurs de dépassement des valeurs limites (40 µg/m³ en moyenne annuelle pour les NO2 et PM10 et 35 jours supérieurs à 50 µg/m³ pour les PM10)). Ces indicateurs sont le nombre d'habitants affectés et la superficie cumulée. Donnée créée avec un modèle de dispersion atmosphérique à l'échelle locale pour les ZAG et ZAR de la région Occitanie et à l'échelle régionale pour la ZR. Utilisation de l'inventaire des émissions de la région Occitanie. Modélisation réalisée conformément aux recommandations du référentiel métier du Laboratoire Central de Surveillance de la qualité de l'Air (LCSQA). Les données démographiques sont issues du référentiel pop Magic. Flux WFS : https://dservices9.arcgis.com/7Sr9Ek9c1QTKmbwr/arcgis/services/exp_occitanie_zas_2017/WFSServer?service=wfs&request=getcapabilities Fiche métadonnées : https://www.picto-occitanie.fr/geonetwork/srv/fre/catalog.search#/metadata/01d8803d-5c65-47ec-93e6-d9af1d731c4d

  5. d

    expo.exp occitanie zas 2023 pm10 nbrj

    • data.gouv.fr
    Updated Oct 10, 2024
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    Atmo Occitanie (2024). expo.exp occitanie zas 2023 pm10 nbrj [Dataset]. https://www.data.gouv.fr/en/datasets/expo-exp-occitanie-zas-2023-pm10-nbrj/
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    application/geopackage+sqlite3, html, application/vnd.geo+json, xls, kml, zip, txt, json, csvAvailable download formats
    Dataset updated
    Oct 10, 2024
    Dataset authored and provided by
    Atmo Occitanie
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Area covered
    Occitanie
    Description

    Généalogie au sens Inspire : Indicateurs de dépassement des valeurs limites (40 µg/m³ en moyenne annuelle pour les NO2 et PM10 et 35 jours supérieurs à 50 µg/m³ pour les PM10)). Ces indicateurs sont le nombre d'habitants affectés et la superficie cumulée. Donnée créée avec un modèle de dispersion atmosphérique à l'échelle locale pour les ZAG et ZAR de la région Occitanie et à l'échelle régionale pour la ZR. Utilisation de l'inventaire des émissions de la région Occitanie. Modélisation réalisée conformément aux recommandations du référentiel métier du Laboratoire Central de Surveillance de la qualité de l'Air (LCSQA). Les données démographiques sont issues du référentiel pop Magic. Flux WFS : https://dservices9.arcgis.com/7Sr9Ek9c1QTKmbwr/arcgis/services/exp_occitanie_zas_2023/WFSServer?service=wfs&request=getcapabilities Fiche métadonnées : https://catalogue.picto-occitanie.fr/geonetwork/srv/fre/catalog.search#/metadata/17f213f5-7219-4bf4-b32f-9f933efabd7a

  6. a

    ServiceLine reporting

    • lead-service-line-inventory-magic.hub.arcgis.com
    • lead-blueisland.hub.arcgis.com
    • +9more
    Updated Mar 7, 2024
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    Muscatine Area Geographic Information Consortium (2024). ServiceLine reporting [Dataset]. https://lead-service-line-inventory-magic.hub.arcgis.com/datasets/serviceline-reporting
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    Dataset updated
    Mar 7, 2024
    Dataset authored and provided by
    Muscatine Area Geographic Information Consortium
    License
    Area covered
    Description

    A service used to report the Service Line feature service.

  7. f

    Coupling standard of the carrying capacity and construction demand.

    • plos.figshare.com
    xls
    Updated Jun 5, 2023
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    Long Li; Gaoru Zhu; Dafang Wu; Honglei Xu; Peifang Ma; Jie Liu; Zhaocheng Li; Yinjie He; Chenghui Li; Pan Wu (2023). Coupling standard of the carrying capacity and construction demand. [Dataset]. http://doi.org/10.1371/journal.pone.0246374.t006
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    xlsAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Long Li; Gaoru Zhu; Dafang Wu; Honglei Xu; Peifang Ma; Jie Liu; Zhaocheng Li; Yinjie He; Chenghui Li; Pan Wu
    License

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

    Description

    Coupling standard of the carrying capacity and construction demand.

  8. Scale and proportion of different grades of carrying capacity.

    • plos.figshare.com
    • figshare.com
    xls
    Updated Jun 11, 2023
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    Long Li; Gaoru Zhu; Dafang Wu; Honglei Xu; Peifang Ma; Jie Liu; Zhaocheng Li; Yinjie He; Chenghui Li; Pan Wu (2023). Scale and proportion of different grades of carrying capacity. [Dataset]. http://doi.org/10.1371/journal.pone.0246374.t007
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 11, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Long Li; Gaoru Zhu; Dafang Wu; Honglei Xu; Peifang Ma; Jie Liu; Zhaocheng Li; Yinjie He; Chenghui Li; Pan Wu
    License

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

    Description

    Scale and proportion of different grades of carrying capacity.

  9. e

    exp occitanie zas 2023 pm10 vuotta

    • data.europa.eu
    + more versions
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    exp occitanie zas 2023 pm10 vuotta [Dataset]. https://data.europa.eu/data/datasets/https-www-arcgis-com-home-item-html-id-f5a641f0f7a849b7931c6735587cf3aa-sublayer-4?locale=fi
    Explore at:
    geopackage, esri file geodatabase, geojson, arcgis geoservices rest api, zip, plain text, kml, excel xlsx, web page, csvAvailable download formats
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Description

    Inspiroi sukututkimusta: Raja-arvojen ylittymisen indikaattorit (vuosittainen keskiarvo 40 μg/m3 NO2:n ja PM10:n osalta ja 35 päivää yli 50 μg/m3 PM10:n osalta)). Nämä indikaattorit ovat vaikutusten kohteena olevien asukkaiden määrä ja kumulatiivinen alue. Tiedot, jotka on luotu ilmakehän hajonnan mallilla paikallisessa mittakaavassa Oksitanian alueen ZAG:lle ja ZAR:lle ja alueellisessa mittakaavassa ZR:lle. Oksitanian alueen päästöinventaarion käyttö.

    Mallinnus suoritetaan ilmanlaadun keskusvalvontalaboratorion (LCSQA) liiketoimintastandardin suositusten mukaisesti. Demografiset tiedot tulevat Magic pop -arkistosta.

    WFS-virrat: https://dservices9.arcgis.com/7Sr9Ek9c1QTKmbwr/arcgis/services/exp_occitanie_zas_2023/WFSServer?service=wfs&request=getcapabilities

    Metatietolomake: https://catalogue.picto-occitanie.fr/geonetwork/srv/fre/catalog.search#/metadata/17f213f5-7219-4bf4-b32f-9f933efabd7a

  10. e

    exp occitanie zas 2021 pm10 näkymät

    • data.europa.eu
    Updated Nov 4, 2021
    + more versions
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    (2021). exp occitanie zas 2021 pm10 näkymät [Dataset]. https://data.europa.eu/data/datasets/https-www-arcgis-com-home-item-html-id-2958e7748f5b45319a2531e6cd1c08d5-sublayer-0?locale=fi
    Explore at:
    kml, zip, excel xlsx, geojson, csv, web page, arcgis geoservices rest api, geopackage, esri file geodatabase, plain textAvailable download formats
    Dataset updated
    Nov 4, 2021
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Description

    Inspiroi sukututkimusta: Raja-arvojen ylittymisen indikaattorit (vuosittainen keskiarvo 40 μg/m3 NO2:n ja PM10:n osalta ja 35 päivää yli 50 μg/m3 PM10:n osalta)). Nämä indikaattorit ovat vaikutusten kohteena olevien asukkaiden määrä ja kumulatiivinen alue. Tiedot, jotka on luotu ilmakehän hajonnan mallilla paikallisessa mittakaavassa Oksitanian alueen ZAG:lle ja ZAR:lle ja alueellisessa mittakaavassa ZR:lle. Oksitanian alueen päästöinventaarion käyttö.

    Mallinnus suoritetaan ilmanlaadun keskusvalvontalaboratorion (LCSQA) liiketoimintastandardin suositusten mukaisesti. Demografiset tiedot tulevat Magic pop -arkistosta.

    WFS-virrat: https://dservices9.arcgis.com/7Sr9Ek9c1QTKmbwr/arcgis/services/exp_occitanie_zas_2021/WFSServer?service=wfs&request=getcapabilities

    Metatietolomake: https://catalogue.picto-occitanie.fr/geonetwork/srv/fre/catalog.search#/metadata/d7b8d98d-6d9f-4fb5-92f3-5b425faee071

  11. a

    Aerial Imagery of the Camas Study Site Southeast of Magic Reservoir, ID...

    • geocatalog-uidaho.hub.arcgis.com
    • geocatalog-uidaho.opendata.arcgis.com
    • +2more
    Updated Apr 19, 2022
    + more versions
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    University of Idaho (2022). Aerial Imagery of the Camas Study Site Southeast of Magic Reservoir, ID (January 2014, 2-cm) [Dataset]. https://geocatalog-uidaho.hub.arcgis.com/items/58b8d4d6e2f34c59a222d196ead42159
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    Dataset updated
    Apr 19, 2022
    Dataset authored and provided by
    University of Idaho
    License

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

    Area covered
    Description

    This collection contains 1 2014 2-centimeter color infrared orthorectified image of a study site southeast of Magic Reservoir, Idaho near Wedge Butte. These data were acquired in January, 2014. These data are sourced from US NSF Idaho EPSCOR.These data are part of a larger collection (README.txt) of UAS imagery data and data products from Camas, Cedar Gulch and Rocky Canyon Idaho. Data products include digital surface models (DSM), orthorectified color imagery (Ortho), and las point cloud files for each site and season; the dataset also contains 5-cm and 25-cm resolution canopy height models (CHM) for the Camas and Cedar Gulch sites during the summer sampling season. Processing reports are provided for each site and season for more details on processing parameters and georeferencing errors.Suggested Citation: Olsoy, P., Burgess, M., Sorensen Forbey, J., Rachlow, J., Shipley, L., & Thornton, D. (2022). Unoccupied aerial systems imagery from Camas, Cedar Gulch and Rocky Canyon Idaho [Data set]. University of Idaho. https://doi.org/10.7923/EM9K-RD28See the Data Processing Report to learn more about camera location, camera calibrarion, and image overlap.Individual image tiles can be downloaded using the Idaho Imagery Explorer.These data can be bulk downloaded from a web accessible folder.Data are sourced from: https://doi.org/10.7923/EM9K-RD28

  12. d

    exp occitanie zas 2017 pm10 nbrj

    • data.gouv.fr
    Updated Oct 10, 2024
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    Atmo Occitanie (2024). exp occitanie zas 2017 pm10 nbrj [Dataset]. https://www.data.gouv.fr/en/datasets/exp-occitanie-zas-2017-pm10-nbrj/
    Explore at:
    csv, kml, json, application/vnd.geo+json, html, zip, xls, txt, application/geopackage+sqlite3Available download formats
    Dataset updated
    Oct 10, 2024
    Dataset authored and provided by
    Atmo Occitanie
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Area covered
    Occitanie
    Description

    Généalogie au sens Inspire : Indicateurs de dépassement des valeurs limites (40 µg/m³ en moyenne annuelle pour les NO2 et PM10 et 35 jours supérieurs à 50 µg/m³ pour les PM10)). Ces indicateurs sont le nombre d'habitants affectés et la superficie cumulée. Donnée créée avec un modèle de dispersion atmosphérique à l'échelle locale pour les ZAG et ZAR de la région Occitanie et à l'échelle régionale pour la ZR. Utilisation de l'inventaire des émissions de la région Occitanie. Modélisation réalisée conformément aux recommandations du référentiel métier du Laboratoire Central de Surveillance de la qualité de l'Air (LCSQA). Les données démographiques sont issues du référentiel pop Magic. Flux WFS : https://dservices9.arcgis.com/7Sr9Ek9c1QTKmbwr/arcgis/services/exp_occitanie_zas_2017/WFSServer?service=wfs&request=getcapabilities Fiche métadonnées : https://www.picto-occitanie.fr/geonetwork/srv/fre/catalog.search#/metadata/01d8803d-5c65-47ec-93e6-d9af1d731c4d

  13. e

    Exposição aos valores-limite de NO2 e PM10 nas SAR da Occitânia em 2016

    • data.europa.eu
    Updated Oct 9, 2024
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    Atmo Occitanie (2024). Exposição aos valores-limite de NO2 e PM10 nas SAR da Occitânia em 2016 [Dataset]. https://data.europa.eu/data/datasets/https-www-arcgis-com-home-item-html-id-ab78b21625864e359212244dae9abd18?locale=pt
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    web page, arcgis geoservices rest apiAvailable download formats
    Dataset updated
    Oct 9, 2024
    Dataset authored and provided by
    Atmo Occitanie
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Description

    Inspire genealogia: Indicadores de excedência dos valores-limite (média anual de 40 μg/m3 para o NO2 e as PM10 e de 35 dias acima de 50 μg/m3 para as PM10)). Estes indicadores são o número de habitantes afetados e a área acumulada. Dados criados com um modelo de dispersão atmosférica à escala local para o ZAG e ZAR da região da Occitânia e à escala regional para o ZR. Utilização do inventário de emissões da região da Occitânia.

    Modelação realizada de acordo com as recomendações da norma empresarial do Laboratório Central de Monitorização da Qualidade do Ar (LCSQA). Os dados demográficos provêm do repositório pop Magic.

    Fluxos WFS: https://dservices9.arcgis.com/7Sr9Ek9c1QTKmbwr/arcgis/services/exp_occitanie_zas_2016/WFSServer?service=wfs&request=getcapabilities

    Ficha de metadados: https://www.picto-occitanie.fr/geonetwork/srv/fre/catalog.search#/metadata/fde02cc8-1fe9-404a-b1e2-d28639b60a18

  14. e

    exp occitanie zas 2022 pm10 moyan

    • data.europa.eu
    Updated Jul 6, 2023
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    (2023). exp occitanie zas 2022 pm10 moyan [Dataset]. https://data.europa.eu/data/datasets/https-www-arcgis-com-home-item-html-id-2ed507ef14f8426d8c37abc0885e07da-sublayer-1?locale=it
    Explore at:
    web page, zip, arcgis geoservices rest api, plain text, kml, excel xlsx, esri file geodatabase, geopackage, csv, geojsonAvailable download formats
    Dataset updated
    Jul 6, 2023
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Area covered
    Occitania
    Description

    Ispirare la genealogia: Indicatori di superamento dei valori limite (media annua di 40 μg/m3 per NO2 e PM10 e 35 giorni al di sopra di 50 μg/m3 per PM10)).Questi indicatori sono il numero di abitanti interessati e l'area cumulativa. Dati creati con un modello di dispersione atmosferica a scala locale per lo ZAG e lo ZAR della regione Occitania e a scala regionale per lo ZR. Uso dell'inventario delle emissioni della regione dell'Occitania.

    Modellazione effettuata in conformità con le raccomandazioni del business standard del Central Air Quality Monitoring Laboratory (LCSQA).

    I dati demografici provengono dal repository pop Magic.

    Flussi WFS: https://dservices9.arcgis.com/7Sr9Ek9c1QTKmbwr/arcgis/services/exp_occitanie_zas_2022/WFSServer?service=wfs&request=getcapabilities

    Scheda di metadati: https://catalogue.picto-occitanie.fr/geonetwork/srv/fre/catalog.search#/metadata/f6455cfe-5e89-453b-8fb1-da18dc0bf5f0

  15. e

    exp occitanie zas 2017 nr 2 moyan

    • data.europa.eu
    Updated Nov 23, 2024
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    Atmo Occitanie (2024). exp occitanie zas 2017 nr 2 moyan [Dataset]. https://data.europa.eu/data/datasets/https-www-arcgis-com-home-item-html-id-4fb5abe127aa4e4eaad455bf26b181c1-sublayer-2?locale=pl
    Explore at:
    geojson, web page, csv, zip, esri file geodatabase, plain text, kml, excel xlsx, arcgis geoservices rest api, geopackageAvailable download formats
    Dataset updated
    Nov 23, 2024
    Dataset authored and provided by
    Atmo Occitanie
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Description

    Inspiruj genealogię: Wskaźniki przekroczenia wartości dopuszczalnych (40 μg/m3 średnia roczna dla NO2 i PM10 oraz 35 dni powyżej 50 μg/m3 dla PM10)). Wskaźniki te to liczba mieszkańców dotkniętych klęską i łączna powierzchnia. Dane tworzone za pomocą modelu dyspersji atmosferycznej w skali lokalnej dla ZAG i ZAR regionu Oksytanii oraz w skali regionalnej dla ZR. Wykorzystanie inwentaryzacji emisji w regionie Oksytanii.

    Modelowanie przeprowadzone zgodnie z zaleceniami standardu biznesowego Centralnego Laboratorium Monitorowania Jakości Powietrza (LCSQA). Dane demograficzne pochodzą z repozytorium Magic pop.

    Przepływy WFS: https://dservices9.arcgis.com/7Sr9Ek9c1QTKmbwr/arcgis/services/exp_occitanie_zas_2017/WFSServer?service=wfs&request=getcapabilities

    Arkusz metadanych: https://www.picto-occitanie.fr/geonetwork/srv/fre/catalog.search#/metadata/01d8803d-5c65-47ec-93e6-d9af1d731c4d

  16. e

    exp occitanie zas 2021 no2 moyan

    • data.europa.eu
    • data.gouv.fr
    Updated Nov 28, 2024
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    Atmo Occitanie (2024). exp occitanie zas 2021 no2 moyan [Dataset]. https://data.europa.eu/data/datasets/https-www-arcgis-com-home-item-html-id-2958e7748f5b45319a2531e6cd1c08d5-sublayer-2?locale=de
    Explore at:
    arcgis geoservices rest api, kml, plain text, web page, csv, esri file geodatabase, excel xlsx, geopackage, zip, geojsonAvailable download formats
    Dataset updated
    Nov 28, 2024
    Dataset authored and provided by
    Atmo Occitanie
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Description

    Genealogie im Sinne von Inspire: Indikatoren für die Überschreitung der Grenzwerte (40 μg/m3 im Jahresdurchschnitt für NO2 und PM10 und 35 Tage über 50 μg/m3 für PM10)). Bei diesen Indikatoren handelt es sich um die Zahl der betroffenen Einwohner und die kumulierte Fläche. Daten erstellt mit einem Modell der atmosphärischen Dispersion auf lokaler Ebene für die ZAG und ZAR der Region Okzitanien und auf regionaler Ebene für die ZR. Verwendung des Emissionsinventars der Region Okzitanien.

    Modellierung gemäß den Empfehlungen des Branchenstandards des Zentralen Labors zur Überwachung der Luftqualität (Central Laboratory of Air Quality Surveillance, LCSQA). Die demografischen Daten stammen aus dem Magic Pop Repository.

    WFS-Fluss: https://dservices9.arcgis.com/7Sr9Ek9c1QTKmbwr/arcgis/services/exp_occitanie_zas_2021/WFSServer?service=wfs&request=getcapabilities

    Metadatenblatt: https://catalogue.picto-occitanie.fr/geonetwork/srv/fre/catalog.search#/metadata/d7b8d98d-6d9f-4fb5-92f3-5b425faee071

  17. e

    exp occitanie zas 2017 no2 blauw

    • data.europa.eu
    + more versions
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    Atmo Occitanie, exp occitanie zas 2017 no2 blauw [Dataset]. https://data.europa.eu/data/datasets/https-www-arcgis-com-home-item-html-id-4fb5abe127aa4e4eaad455bf26b181c1-sublayer-2?locale=nl
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    esri file geodatabase, plain text, zip, csv, geojson, excel xlsx, kml, web page, arcgis geoservices rest api, geopackageAvailable download formats
    Dataset authored and provided by
    Atmo Occitanie
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Description

    Inspire genealogie: Indicatoren van overschrijding van grenswaarden (jaargemiddelde van 40 μg/m3 voor NO2 en PM10 en 35 dagen boven 50 μg/m3 voor PM10)). Deze indicatoren zijn het aantal getroffen inwoners en het cumulatieve gebied. Gegevens gemaakt met een model van atmosferische verspreiding op lokale schaal voor de ZAG en ZAR van de regio Occitanie en op regionale schaal voor de ZR. Gebruik van de emissie-inventaris van de regio Occitanie.

    Modellering uitgevoerd in overeenstemming met de aanbevelingen van de bedrijfsnorm van het Central Air Quality Monitoring Laboratory (LCSQA). Demografische gegevens komen uit de Magic pop repository.

    WFS-stromen: https://dservices9.arcgis.com/7Sr9Ek9c1QTKmbwr/arcgis/services/exp_occitanie_zas_2017/WFSServer?service=wfs&request=getcapabilities

    Metagegevensblad: https://www.picto-occitanie.fr/geonetwork/srv/fre/catalog.search#/metadata/01d8803d-5c65-47ec-93e6-d9af1d731c4d

  18. d

    Expositions aux Valeurs Limites du NO2 et des PM10 sur les ZAS de...

    • data.gouv.fr
    • data-atmo-occitanie.opendata.arcgis.com
    • +1more
    html, json
    Updated Jun 13, 2024
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    Atmo Occitanie (2024). Expositions aux Valeurs Limites du NO2 et des PM10 sur les ZAS de l'Occitanie en 2020 [Dataset]. https://www.data.gouv.fr/en/datasets/expositions-aux-valeurs-limites-du-no2-et-des-pm10-sur-les-zas-de-loccitanie-en-2020/
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    html, jsonAvailable download formats
    Dataset updated
    Jun 13, 2024
    Dataset authored and provided by
    Atmo Occitanie
    Area covered
    Occitanie
    Description

    Généalogie au sens Inspire : Indicateurs de dépassement des valeurs limites (40 µg/m³ en moyenne annuelle pour les NO2 et PM10 et 35 jours supérieurs à 50 µg/m³ pour les PM10)). Ces indicateurs sont le nombre d'habitants affectés et la superficie cumulée. Donnée créée avec un modèle de dispersion atmosphérique à l'échelle locale pour les ZAG et ZAR de la région Occitanie et à l'échelle régionale pour la ZR. Utilisation de l'inventaire des émissions de la région Occitanie. Modélisation réalisée conformément aux recommandations du référentiel métier du Laboratoire Central de Surveillance de la qualité de l'Air (LCSQA). Les données démographiques sont issues du référentiel pop Magic. Flux WFS : https://dservices9.arcgis.com/7Sr9Ek9c1QTKmbwr/arcgis/services/exp_occitanie_zas_2020/WFSServer?service=wfs&request=getcapabilities Fiche métadonnées : https://catalogue.picto-occitanie.fr/geonetwork/srv/fre/catalog.search#/metadata/d7df2580-384b-4cab-a680-d3f4898454d8

  19. ADF&G Game Management Units (July 2022)

    • gis-fws.opendata.arcgis.com
    Updated May 1, 2018
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    U.S. Fish & Wildlife Service (2018). ADF&G Game Management Units (July 2022) [Dataset]. https://gis-fws.opendata.arcgis.com/datasets/fws::fws-r7-realty-guide-use-areas-feature-layer/explore?layer=4&showTable=true
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    Dataset updated
    May 1, 2018
    Dataset provided by
    U.S. Fish and Wildlife Servicehttp://www.fws.gov/
    Authors
    U.S. Fish & Wildlife Service
    Area covered
    Description

    Uniform Coding UnitsPrior to 1982, Alaska Department of Fish and Game - Division of Wildlife Conservation (ADFG-DWC) had a variety of coding schemes (18) relating harvest and management information to geographical areas. This made it difficult when comparing statewide wildlife information gathered across the state. In 1982, a new standardized statewide, geographically-based, hierarchy system of coding was created called the Uniform Coding Unit or UCU system. Game management units (GMUs), Subunits, and uniform coding units (UCUs) are the underlying geographic foundation of the wildlife and habitat management and regulations for ADFG-DWC. The GMU/UCU system consists of five Regions which are divided into twenty-six (26) Game Management Units (GMUs). Many of the GMUs are divided into Subunits (e.g. GMU 15 has three (3) Subunits, 15A, 15B, and 15C). GMUs that are not divided into subunits have a "Z" designation for the subunit. GMUs and Subunits are further divided into Major Drainages, Minor Drainages and Specific Areas. The smallest of these areas (down to the "specific area") is referred to as a Uniform Coding Unit (UCU) and has a unique 10 character code associated with it. (NOTE: UCU layer is for internal and official use only, not for public use or distribution). The UCU code is used for geographically classifying harvest and management information. Data that cannot be tied to a specific code can be generalized to the next higher level of the hierarchy. For example:a location description that is within multiple "specific areas" within a "minor drainage" can be coded to the minor code with a "00" for the specific area. Unknown "minor drainages" can be coded to the "major drainage" level, etc. If the subunit is unknown or the area covers multiple subunits within a unit, the subunit can be specified as a "Z" code (e.g. an area within subunits 15A and 15B could be recorded as 15Z). If a geographic location covers multiple units or the unit is unknown, the most general code (statewide code) is recorded as 27Z-Z00. The original hardcopy master maps were drawn to portray the UCUs fairly accurately geographically, but were not necessarily precisely drawn (i.e. left vs. right bank of a river, or exact ridge line). Each UCU was represented by drawing boundaries on USGS 1:250,000 scale quadrangle maps with a thick magic marker. A list (database) of place-names and their corresponding UCU codes was created and is still used today to assign permit, harvest, and sealing information to one of these geographic areas. In 1988, the UCU boundaries were digitized (traced) from the original maps into a computerized Geographic Information System (ArcInfo). Minor changes were made in 1989. Phase I2006-2008 - initial clean-up of boundaries for GMU 6, 9, 10, 12, 16, 19, 20, 25. These modifications have NOT been verified against the UCU master list or by area biologists. -ras Jan 2009 - Priority has shifted to getting the bulk of the updates into the master. Verification and modifications based on the UCU list and the AB corrections will come at a later date. This shift is to attempt to get the master into a permanent SDE GDB, set it up with the GDB topology, make additional clean-up/edits using the GDB tools, set up versioning, make it easier to replicate to area offices, and to take advantage of the tools/features available thru ArcGIS Server with versioned GDBs. June 2009 - initial clean-up of boundaries for Southeast (GMU 1-5), GMU 17, and GMU 18. These have NOT been verified against the UCU master list or by area biologists. -ras July 1 2009 - initial clean-up of boundaries for GMU 7 and 8. Also some adjustments for 25D based on the NHD 2008 version and ArcHydro Tools "raindrop" feature. These have NOT been verified against the UCU master list or by area biologists. -ras Sept 17, 2009 - initial clean-up of boundaries for GMU 13. These modifications have NOT been verified against the UCU master list or by area biologists. -ras Oct 21, 2009 - initial clean-up of boundaries for GMU 14 These modification have NOT been verified against the UCU master list or by area biologists. -rasNov 19, 2009 - initial clean-up of boundaries for GMU 15. These modifications have NOT been verified against the UCU master list or by area biologists. -ras Dec 7, 2009 - initial clean-up of boundaries for GMU 22. These modification have NOT been verified against the UCU master list or by area biologists. -ras March 3, 2010 - initial clean-up of boundaries for GMU 23. These modification have NOT been verified against the UCU master list or by area biologists. -rasApril 10, 2010 - initial clean-up of boundaries for GMU 26. These modification have NOT been verified against the UCU master list or by area biologists. -ras May 2010 - This completes Phase I of refining the UCUs - bulk heads-up re-digitizing of all arcs. Phase II - Converting and establishing procedures for maintaining the master in an Enterprise GDB is underway. Complete.Phase III- Continued maintenance as needed or as modified via the Board of Game process:Game Management changes:Effective July 1, 2006 - GMU 24 is now divided up into four subunit 24A, 24B, 24C, 24D. - GMU 21A and 21B - - boundary has been modifiedEffective July 1, 2010, Region II was split into Region 2 (GMU's 6, 7, 8, 14C, 15) and Region 4 (GMU's 9, 10, 11, 13, 14AB, 16, 17. This version was updated to reflect the change. An archive of the previous version (with Regions I, II, III, and V) is available on request as GMUMaster_063010. 2012 - minor updates continue as needed and time allows, and as newer base maps are used2014 - minor updates continue as needed, including updates to domain listings (not affecting GIS geometry)Effective July 1, 2014- revision to GMU 18/19/21 boundary to clarify/correct previous insufficient boundary description. Passed during Spring 2014 Board of Game.Effective July 1, 2016- revision to GMU 15 (Region II) and GMU 16 (Region IV). Kalgin Island (and surrounding waters) has been recoded from 16B-O00-1901 to 15B-O00-1901 This change will modify the area caluculations for Regions II and IV, Units 15 and 16, Subunits 16B and 15B, etc. GIS domains have been updated.Historical harvest information may not reflect these (or any) GMU modifications.

  20. SSSI Impact Risk Zones (England)

    • naturalengland-defra.opendata.arcgis.com
    Updated Jun 26, 2019
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    Defra group ArcGIS Online organisation (2019). SSSI Impact Risk Zones (England) [Dataset]. https://naturalengland-defra.opendata.arcgis.com/datasets/Defra::sssi-impact-risk-zones-england/about
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    Dataset updated
    Jun 26, 2019
    Dataset provided by
    Defra - Department for Environment Food and Rural Affairshttp://defra.gov.uk/
    Authors
    Defra group ArcGIS Online organisation
    Area covered
    Description

    The SSSI IRZs are a Geographical Information System (GIS) tool developed by Natural England to make rapid initial assessment of the potential risks posed by development proposals to SSSIs and those Special Areas of Conservation (SACs), Special Protection Areas (SPAs) or Ramsar sites that they underpin. They define zones around each site which reflect the sensitivities of the features for which the site is notified and indicate the types of development proposal which could potentially have adverse impacts and need further consideration. In certain locations they also include Natural England's statutory advice for certain development types.LPAs can use the SSSI IRZs to consider if a proposed development is likely to affect a terrestrial SSSI and those SACs, SPAs or Ramsar sites that they underpin and when to consult Natural England to seek advice. Where the SSSI IRZs include Natural England's statutory advice or indicate a risk is unlikely, LPAs can use the SSSI IRZs to instantly generate a formal consultation response.Add the SSSI IRZs to your own GIS using the Web Map Service (WMS) link or download from the dropdown menu above or the links below. Download the latest update (May 2025) in ESRI Shapefile format.

    Use the SSSI IRZs online on the MAGIC website. View the SSSI IRZs user guidance to learn how to interpret and use the SSSI IRZs. Alternatively, a training video is available that includes a step-by-step description of how to use the SSSI IRZs tool. For information on when LPAs must consult Natural England when considering development proposals refer to Planning and transport authorities: get environmental advice on planning - GOV.UK (www.gov.uk). For information on how developers can get advice from Natural England on planning applications refer to Developers: get environmental advice on your planning proposals - GOV.UK (www.gov.uk).Full metadata can be viewed on data.gov.uk.

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Muscatine Area Geographic Information Consortium (2024). ServiceLine viewing [Dataset]. https://lead-service-line-inventory-magic.hub.arcgis.com/datasets/serviceline-viewing

ServiceLine viewing

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Dataset updated
Mar 7, 2024
Dataset authored and provided by
Muscatine Area Geographic Information Consortium
License
Area covered
Description

A feature layer view with view only capabilities.

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