100+ datasets found
  1. d

    Data from: Qualitative Mineral Potential Map of Tungsten Skarn in the...

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Qualitative Mineral Potential Map of Tungsten Skarn in the Yukon-Tanana Uplands, Eastern Alaska, USA, 2021 [Dataset]. https://catalog.data.gov/dataset/qualitative-mineral-potential-map-of-tungsten-skarn-in-the-yukon-tanana-uplands-eastern-al
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Alaska, United States, Tanana Hills
    Description

    This data release supports the paper titled, “Tungsten skarn potential of the Yukon-Tanana Uplands, Eastern Alaska, USA-A mineral resource assessment”, published via open-access license in the Journal of Geochemical Exploration and available at: https://doi.org/10.1016/j.gexplo.2020.106700. The data release includes GIS data that map potential for tungsten skarn mineralization in permissive tracts in the Yukon-Tanana Uplands, Eastern Alaska, along with tables listing keywords and procedures used to produce the permissive tracts and score them for mineral potential. Supplementary Data part A lists keywords used to extract permissive rock types from the Geologic Map of Alaska (Wilson et al., 2015) to generate the permissive tract for tungsten skarn. Supplementary Data part B describes the tract polishing procedures. Supplementary Data part C lists the parameters for scoring tungsten skarn mineralization potential within the permissive tract features. The GIS data are encapsulated in a file geodatabase called AK_Wskarn_tract.gdb and are also available in the shapefile and KML formats. The geodatabase contains three datasets. The polygon feature class “primary_attributes” contains the scored tungsten skarn permissive tract subdivided by National Hydrography Dataset HUC12 drainages. A related table, “qualitative_assessment” contains detailed scoring information for each feature. The point feature class “mineral_sites_ranked” contains W-bearing mineral sites pulled from the Alaska Resource Data File with additional fields added for this study. The GIS data folder also includes the Python script used to score potential. The datasets and methods are described in detail in the accompanying paper.

  2. f

    Personal domain factors.

    • plos.figshare.com
    xls
    Updated Jun 12, 2023
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    Patricia E. Jessiman; Katie Powell; Philippa Williams; Hannah Fairbrother; Mary Crowder; Joanna G. Williams; Ruth Kipping (2023). Personal domain factors. [Dataset]. http://doi.org/10.1371/journal.pone.0245577.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 12, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Patricia E. Jessiman; Katie Powell; Philippa Williams; Hannah Fairbrother; Mary Crowder; Joanna G. Williams; Ruth Kipping
    License

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

    Description

    Personal domain factors.

  3. e

    MOLISEDB.GIS.MO_qualit_interes_percet_poly_3

    • data.europa.eu
    Updated Oct 12, 2021
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    (2021). MOLISEDB.GIS.MO_qualit_interes_percet_poly_3 [Dataset]. https://data.europa.eu/data/datasets/r_molise-5fe169b2-f66f-4983-a490-ae4f20e6b026-
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    Dataset updated
    Oct 12, 2021
    Description

    The feature class MO_qualit_interes_percet_poly_3 — represents the natural qualitative elements of perceptive interest — polygon type — elements acquired from the map of qualitative maps of the territory on a scale of 1:25 000 The maps PTPAAV (Territorial Environmental Country Plan of Large Area) are a series of thematic maps drawn up since 1989 and finished and approved at the end of November 1991, are divided into territorial areas for a total of 8 areas identified on the regional territory. The work was carried out by several groups of technicians, a coordination group which established by circulars the standards to be used for the drafting of plans ranging from the thickness of the graph tip to the type of retino and the nuances to be used, and 8 design groups one for each area, which have created the maps trying to standardise spatial information as much as possible. The paperwork of this work was delivered to us in 2008 by the Environmental Heritage Office of the Molise Region. The latter already had scans of some thematic cards related to some areas, the missing ones and in the case of scans not found suitable for georeference, have been scanned. The mapping basis used by the working groups for the creation of PTPAAV maps was the IGM on a scale of 1:25,000.

  4. f

    Data from: Toward barrier-free cartography: a similarity and...

    • figshare.com
    zip
    Updated Jun 5, 2024
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    Taisheng Chen; Kun Hu; MengLin Chen; Lu Cheng; Ting Xiao; Longning Zhu (2024). Toward barrier-free cartography: a similarity and discrimination-based approach to automatically enhance qualitative color schemes for color vision deficiency [Dataset]. http://doi.org/10.6084/m9.figshare.25951633.v4
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    zipAvailable download formats
    Dataset updated
    Jun 5, 2024
    Dataset provided by
    figshare
    Authors
    Taisheng Chen; Kun Hu; MengLin Chen; Lu Cheng; Ting Xiao; Longning Zhu
    License

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

    Description

    Qualitative color schemes are often designed without considering people with color vision deficiency, causing confusion when reading maps. Thus, this paper proposes an automatic approach to enhancing existing qualitative color schemes for color vision deficiency. We built an optimization model by combining color similarity and discrimination to obtain enhanced color schemes similar to the original schemes that are distinguishable by people with color vision deficiency. We provide a case study adopting the Tianjin metro map and the Liaoning land cover map as experimental maps. Thirty-two participants with color vision deficiency were invited to complete tasks on the original and enhanced experimental maps. The results showed that participants with color vision deficiency achieved significantly greater accuracy and shorter response times on the enhanced experimental maps than on the original maps. In addition, 47 participants with color-normal vision were invited to participate; the results showed that they also achieved high accuracy and shorter response times on enhanced experimental maps. This suggests that the enhanced color schemes generated using our approach are barrier-free schemes that meet the map-reading requirements for color vision deficiency and normal color vision.

  5. i

    BLACKSEA_CH02_Product_4 / Qualitative analysis of connectivity between MPAs...

    • sextant.ifremer.fr
    doi, ogc:ows-c +1
    Updated Jan 26, 2018
    + more versions
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    CMCC - Fondazione CMCC Centro Euro-Mediterraneo sui Cambiamenti Climatici (2018). BLACKSEA_CH02_Product_4 / Qualitative analysis of connectivity between MPAs as seasonal maps of sea surface currents [m/s] [Dataset]. https://sextant.ifremer.fr/geonetwork/srv/api/records/d7de6525-f5df-4237-b295-be9a53956aab
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    ogc:ows-c, www:link, doiAvailable download formats
    Dataset updated
    Jan 26, 2018
    Dataset provided by
    EMODnet Black Sea Checkpoint
    CMCC - Fondazione CMCC Centro Euro-Mediterraneo sui Cambiamenti Climatici
    Time period covered
    Jan 1, 2005 - Dec 31, 2015
    Area covered
    Description

    In order to qualitatively assess the connectivity among different MPAs oceanographic data are used. GIS layers are created to visualized sea surface currents [m/s] on a seasonal basis. The Black Sea reanalysis datasets were provided by the Copernicus Marine Environment Monitoring Service at the horizontal resolution of 1/27°x1/36°

  6. C

    MOLISEDB.GIS.MO_qualit_archeo_poi_8

    • ckan.mobidatalab.eu
    Updated May 3, 2023
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    GeoDatiGovIt RNDT (2023). MOLISEDB.GIS.MO_qualit_archeo_poi_8 [Dataset]. https://ckan.mobidatalab.eu/dataset/molisedb-gis-mo_qualit_archeo_poi_8
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    Dataset updated
    May 3, 2023
    Dataset provided by
    GeoDatiGovIt RNDT
    Area covered
    Missouri
    Description

    The MO_qualit_archeo_poi_8 feature class represents the punctual elements of the qualitative characteristics of archaeological interest - elements acquired from the map of the qualitative characteristics of the territory on a scale of 1:25 000. The PTPAAV (Territorial Landscape Environmental Plan of Vast Area) maps are a series of thematic maps drawn up from 1989 and finished and approved at the end of November 1991, are divided into territorial areas for a total of 8 areas identified on the regional territory. The work was carried out by various groups of technicians, a coordination group which established through circulars the standards to be used for the drafting of the plans which ranged from the thickness of the tip of the graph to the type of screen and the shades to be used, and 8 groups one for each area, who created the maps trying to standardize the territorial information as much as possible. The hard copy of this work was delivered to us in 2008 by the Environmental Heritage Office of the Molise Region. The latter already had scans of some thematic maps relating to some areas, the missing ones and in the case of scans that were not suitable for georeferencing, they were scanned. The cartographic basis used by the working groups for the creation of the PTPAAV maps was the IGM in 1:25,000 scale.

  7. s

    Kelp qualitative density map in east Falklands - Datasets - Falkland Islands...

    • dataportal.saeri.org
    Updated Jan 30, 2020
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    (2020). Kelp qualitative density map in east Falklands - Datasets - Falkland Islands Data Portal [Dataset]. https://dataportal.saeri.org/dataset/kelp-qualitative-density-map-in-east-falklands
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    Dataset updated
    Jan 30, 2020
    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
    Falkland Islands (Islas Malvinas)
    Description

    The file describes the distribution of Kelp derived from analysing satellite images from World View 2. The areas analysed correspond to the three sites assessed by Premier Oil Ltd for their suitability to transfer oil in inshore waters. The map additionally indicate a qualitative measure of density of the kelp which, it is worth mentioning, was not differentiated in terms of species.

  8. C

    MOLISEDB.GIS.MO_qualit_natur_bio_poly_3

    • ckan.mobidatalab.eu
    Updated May 3, 2023
    + more versions
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    GeoDatiGovIt RNDT (2023). MOLISEDB.GIS.MO_qualit_natur_bio_poly_3 [Dataset]. https://ckan.mobidatalab.eu/dataset/molisedb-gis-mo_qualit_natur_bio_poly_3
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    Dataset updated
    May 3, 2023
    Dataset provided by
    GeoDatiGovIt RNDT
    Area covered
    Missouri
    Description

    The feature class MO_qualit_natur_bio_poly_3 - represents the natural qualitative elements of biological interest - area type - acquired from the map of the qualitative characteristics of the territory on a scale of 1:25 000. The PTPAAV maps (Piano Territoriale Landscape Enviromental di Vasta Area) are a series of thematic maps drawn up since 1989 and finished and approved at the end of November 1991, they are divided into territorial areas for a total of 8 areas identified on the regional territory. The work was carried out by various groups of technicians, a coordination group which established through circulars the standards to be used for the drafting of the plans which ranged from the thickness of the tip of the graph to the type of screen and the shades to be used, and 8 groups one for each area, who created the maps trying to standardize the territorial information as much as possible. The hard copy of this work was delivered to us in 2008 by the Environmental Heritage Office of the Molise Region. The latter already had scans of some thematic maps relating to some areas, the missing ones and in the case of scans that were not suitable for georeferencing, they were scanned. The cartographic basis used by the working groups for the creation of the PTPAAV maps was the IGM in 1:25,000 scale.

  9. C

    MOLISEDB.GIS.MO_qualit_stor_archeo_poly_3

    • ckan.mobidatalab.eu
    Updated Apr 28, 2023
    + more versions
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    GeoDatiGovIt RNDT (2023). MOLISEDB.GIS.MO_qualit_stor_archeo_poly_3 [Dataset]. https://ckan.mobidatalab.eu/dataset/molisedb-gis-mo_qualit_stor_archeo_poly_3
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    Dataset updated
    Apr 28, 2023
    Dataset provided by
    GeoDatiGovIt RNDT
    Area covered
    Missouri
    Description

    The MO_qualit_stor_archeo_poly_3 feature class represents the qualitative elements of historical-archaeological interest of an area type - elements acquired from the map of the qualitative characteristics of the territory on a scale of 1:25 000. The PTPAAV (Territorial Landscape Environmental Plan of Vast Area) maps are a series of maps themes drawn up since 1989 and finished and approved at the end of November 1991, are divided into territorial areas for a total of 8 areas identified on the regional territory. The work was carried out by various groups of technicians, a coordination group which established through circulars the standards to be used for the drafting of the plans which ranged from the thickness of the tip of the graph to the type of screen and the shades to be used, and 8 groups one for each area, who created the maps trying to standardize the territorial information as much as possible. The hard copy of this work was delivered to us in 2008 by the Environmental Heritage Office of the Molise Region. The latter already had scans of some thematic maps relating to some areas, the missing ones and in the case of scans that were not suitable for georeferencing, they were scanned. The cartographic basis used by the working groups for the creation of the PTPAAV maps was the IGM in 1:25,000 scale.

  10. C

    MOLISEDB.GIS.MO_car_interest_natur_fis_poly_7

    • ckan.mobidatalab.eu
    Updated Apr 28, 2023
    + more versions
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    GeoDatiGovIt RNDT (2023). MOLISEDB.GIS.MO_car_interest_natur_fis_poly_7 [Dataset]. https://ckan.mobidatalab.eu/dataset/molisedb-gis-mo_car_interest_natur_fis_poly_7
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    Dataset updated
    Apr 28, 2023
    Dataset provided by
    GeoDatiGovIt RNDT
    Description

    The MO_car_interes_natur_fis_poly_7 feature class represents the elements of physical interest for natural characteristics of the polygonal type acquired on a scale of 1:25 000 from the map of the qualitative characteristics of the territory. The PTPAAV maps (Territorial Landscape Environmental Plan of Vast Area) are a series of thematic maps drawn up since 1989 and finished and approved at the end of November 1991, they are divided into territorial areas for a total of 8 areas identified on the regional territory. The work was carried out by various groups of technicians, a coordination group which established through circulars the standards to be used for the drafting of the plans which ranged from the thickness of the tip of the graph to the type of screen and the shades to be used, and 8 groups one for each area, who created the maps trying to standardize the territorial information as much as possible. The hard copy of this work was delivered to us in 2008 by the Environmental Heritage Office of the Molise Region. The latter already had scans of some thematic maps relating to some areas, the missing ones and in the case of scans that were not suitable for georeferencing, they were scanned. The cartographic basis used by the working groups for the creation of the PTPAAV maps was the IGM in 1:25,000 scale.

  11. C

    MOLISEDB.GIS.MO_qualit_peric_geo_poly_3

    • ckan.mobidatalab.eu
    Updated Apr 29, 2023
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    GeoDatiGovIt RNDT (2023). MOLISEDB.GIS.MO_qualit_peric_geo_poly_3 [Dataset]. https://ckan.mobidatalab.eu/dataset/molisedb-gis-mo_qualit_peric_geo_poly_3
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    Dataset updated
    Apr 29, 2023
    Dataset provided by
    GeoDatiGovIt RNDT
    Area covered
    Missouri
    Description

    The MO_qualit_peric_geo_poly_3 feature class represents the qualitative elements relating to geological hazard - polygonal type - elements acquired from the map of the qualitative characteristics of the territory on a scale of 1:25 000. The PTPAAV (Territorial Landscape Environmental Plan of Vast Area) maps are a series of thematic maps drawn up since 1989 and finished and approved at the end of November 1991, they are divided into territorial areas for a total of 8 areas identified on the regional territory. The work was carried out by various groups of technicians, a coordination group which established through circulars the standards to be used for the drafting of the plans which ranged from the thickness of the tip of the graph to the type of screen and the shades to be used, and 8 groups one for each area, who created the maps trying to standardize the territorial information as much as possible. The hard copy of this work was delivered to us in 2008 by the Environmental Heritage Office of the Molise Region. The latter already had scans of some thematic maps relating to some areas, the missing ones and in the case of scans that were not suitable for georeferencing, they were scanned. The cartographic basis used by the working groups for the creation of the PTPAAV maps was the IGM in 1:25,000 scale.

  12. f

    CYP subpopulations and determinants impacting outside influence of local...

    • plos.figshare.com
    xls
    Updated Jun 11, 2023
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    Patricia E. Jessiman; Katie Powell; Philippa Williams; Hannah Fairbrother; Mary Crowder; Joanna G. Williams; Ruth Kipping (2023). CYP subpopulations and determinants impacting outside influence of local level. [Dataset]. http://doi.org/10.1371/journal.pone.0245577.t004
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    xlsAvailable download formats
    Dataset updated
    Jun 11, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Patricia E. Jessiman; Katie Powell; Philippa Williams; Hannah Fairbrother; Mary Crowder; Joanna G. Williams; Ruth Kipping
    License

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

    Description

    CYP subpopulations and determinants impacting outside influence of local level.

  13. n

    Data from: Cartogram and Choropleth communicative effectiveness participant...

    • data-search.nerc.ac.uk
    • hosted-metadata.bgs.ac.uk
    • +2more
    Updated May 23, 2021
    + more versions
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    (2021). Cartogram and Choropleth communicative effectiveness participant test results 2015 [Dataset]. https://data-search.nerc.ac.uk/geonetwork/srv/search?keyword=Maps
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    Dataset updated
    May 23, 2021
    Description

    These are the results obtained from an empirical test looking at the communicative effectiveness between two types of two dimensional (2D) map formats (Choropleth maps, and Cartograms) of the Greater London area of the United Kingdom. Participants were interviewed and observed individually during the procedure. The results contain the recorded measurements of spatial accuracy, and the time taken for each participant to answers 3 test questions. A post-test qualitative reaction of each participants' preference between the two map types is recorded, along with their gender, age, visual impediments, and self-assessed map reading ability.

  14. a

    Data from: Qualitative petroleum resource assessment of the Magdalen Basin...

    • catalogue.arctic-sdi.org
    • open.canada.ca
    Updated Dec 17, 2024
    + more versions
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    (2024). Qualitative petroleum resource assessment of the Magdalen Basin in the Gulf of St. Lawrence; Quebec, Prince Edward Island, New Brunswick, Nova Scotia, and Newfoundland and Labrador [Dataset]. https://catalogue.arctic-sdi.org/geonetwork/srv/resources/persons/lindsay.kung%40canada.ca
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    Dataset updated
    Dec 17, 2024
    Area covered
    Gulf of Saint Lawrence
    Description

    GIS compilation of data used to perform the stacked cumulative chance of success (resource potential map) in Open file 8556. Natural Resources Canada (NRCan) has been tasked, under the Marine Conservation Targets (MCT) initiative announced in Budget 2016, with evaluating the petroleum resource potential for areas identified for possible protection as part of the Government of Canada's commitment to conserve 10% of its marine areas by 2020. As part of this initiative, NRCan's Geological Survey of Canada (GSC) conducted a broad regional study of the petroleum potential over the majority of the Magdalen Basin, which is the principal geological basin in the southern Gulf of St. Lawrence. The GSC resource assessment is visually represented by a qualitative petroleum potential map. Disclaimer: A simplified colored version of the map is displayed on the Web Mapping Service (WMS). The correct version is available for download through the Federal Geospatial Platform (FGP) and GEOSCAN.

  15. C

    MOLISEDB.GIS.MO_car_interes_prod_agr_poly_7

    • ckan.mobidatalab.eu
    Updated Apr 29, 2023
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    GeoDatiGovIt RNDT (2023). MOLISEDB.GIS.MO_car_interes_prod_agr_poly_7 [Dataset]. https://ckan.mobidatalab.eu/dataset/molisedb-gis-mo_car_interes_prod_agr_poly_7
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    Dataset updated
    Apr 29, 2023
    Dataset provided by
    GeoDatiGovIt RNDT
    Description

    The MO_car_interes_prod_agr_poly_7 feature class represents the area elements of agricultural production interest for natural characteristics acquired from the map of the qualitative characteristics of the territory on a scale of 1:25 000. The PTPAAV maps (Piano Territoriale Paese Ambientale di Vasta Area) are a series of thematic maps drawn up by the 1989 and finished and approved at the end of November 1991, are divided into territorial areas for a total of 8 areas identified on the regional territory. The work was carried out by various groups of technicians, a coordination group which established through circulars the standards to be used for the drafting of the plans which ranged from the thickness of the tip of the graph to the type of screen and the shades to be used, and 8 groups one for each area, who created the maps trying to standardize the territorial information as much as possible. The hard copy of this work was delivered to us in 2008 by the Environmental Heritage Office of the Molise Region. The latter already had scans of some thematic maps relating to some areas, the missing ones and in the case of scans that were not suitable for georeferencing, they were scanned. The cartographic basis used by the working groups for the creation of the PTPAAV maps was the IGM in 1:25,000 scale.

  16. Data from: MEDSEA_CH2_Product_4 / Qualitative analysis of connectivity...

    • sextant.ifremer.fr
    • pigma.org
    doi, ogc:ows-c +1
    Updated Nov 22, 2016
    + more versions
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    HCMR (2016). MEDSEA_CH2_Product_4 / Qualitative analysis of connectivity between MPAs [Dataset]. https://sextant.ifremer.fr/record/f4d3dd30-633b-4a49-9c09-1e1243f36763/
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    www:link, doi, ogc:ows-cAvailable download formats
    Dataset updated
    Nov 22, 2016
    Dataset provided by
    National Institute of Geophysics and Volcanologyhttps://www.ingv.it/
    EMODnet Medsea Checkpoint
    HCMR
    Time period covered
    Jan 1, 1987 - Jan 1, 2013
    Area covered
    Description

    In order to assess the connectivity oceanographic data will be used. A shape map will be created combining data on MPAs adequacy and distribution of MPAs and temperature, currents seasonal GIS layers (The temperature and currents are INGV climatological products made available to CH2.

  17. g

    Hydrogeological map 1 : 50,000 (HYDROCR50, raster)

    • micka.geology.cz
    Updated May 6, 2025
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    Czech Geological Survey (2025). Hydrogeological map 1 : 50,000 (HYDROCR50, raster) [Dataset]. https://micka.geology.cz/en/record/basic/4cfcab1b-f234-4bd2-a3d2-ebc40a010817
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    Dataset updated
    May 6, 2025
    Dataset authored and provided by
    Czech Geological Survey
    License

    http://inspire.ec.europa.eu/metadata-codelist/ConditionsApplyingToAccessAndUse/conditionsUnknownhttp://inspire.ec.europa.eu/metadata-codelist/ConditionsApplyingToAccessAndUse/conditionsUnknown

    Area covered
    Description

    Hydrogeological map of the Czech Republic at a scale of 1 : 50,000 is an integral part of the Set of geological and thematic maps and was compiled at the Czech Geological Institute to describe displayed geological environment of each map sheet from the quantitative and partly also qualitative hydrogeological point of view. In an understandable way describes information about groundwater, which is one of the most essential parts of the environmental factors. Hydrogeological map of the Czech Republic 1 : 50,000 provides these basic types of information: - type, character and geometry of the hydrogeological environment (aquifers, aquicludes) - accessibility of groundwater - evaluation of usability of groundwater from the quantitative point of view - evaluation of suitability of groundwater for water supply purposes from the qualitative point of view - possibility of accumulation of groundwater

  18. f

    Data from: Hardbottom Mapping and Community Characterization of the...

    • floridagio.gov
    • geodata.myfwc.com
    • +1more
    Updated Nov 1, 2017
    + more versions
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    Florida Fish and Wildlife Conservation Commission (2017). Hardbottom Mapping and Community Characterization of the West-Central Florida Gulf Coast [Dataset]. https://www.floridagio.gov/datasets/myfwc::hardbottom-mapping-and-community-characterization-of-the-west-central-florida-gulf-coast/api
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    Dataset updated
    Nov 1, 2017
    Dataset authored and provided by
    Florida Fish and Wildlife Conservation Commission
    Area covered
    Description

    This project is a collaborative effort between NOVA Southeastern University (Principal Investigator Brian Walker) and FWC FWRI. The primary objectives of this cooperative project are 1) Map West Florida continental shelf colonized hard bottom features as well as the offshore extent of seagrass in optically shallow waters using satellite imagery, object based image analysis and photo-interpretation techniques; 2) Conduct qualitative benthic surveys to validate the map and associate community information to the classification; 3) Conduct and analyze quantitative benthic surveys to characterize the hard bottom communities throughout the mapped space; 4) Compare and integrate acoustic-based and satellite imagery based seafloor maps; and 5) Develop recommendations as to how habitat data collected through satellite imagery can best be utilized to improve overall survey efficiency and the utility of data collected.

  19. Data from: Guiding carbon farming using interdisciplinary mixed methods...

    • zenodo.org
    • data.niaid.nih.gov
    • +2more
    Updated Jun 1, 2022
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    Beth F. T. Brockett; Alison L. Browne; Andy Beanland; Mike G. Whitfield; Nigel Watson; George Alan Blackburn; Richard D. Bardgett; Beth F. T. Brockett; Alison L. Browne; Andy Beanland; Mike G. Whitfield; Nigel Watson; George Alan Blackburn; Richard D. Bardgett (2022). Data from: Guiding carbon farming using interdisciplinary mixed methods mapping [Dataset]. http://doi.org/10.5061/dryad.5p489m3
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    Dataset updated
    Jun 1, 2022
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Beth F. T. Brockett; Alison L. Browne; Andy Beanland; Mike G. Whitfield; Nigel Watson; George Alan Blackburn; Richard D. Bardgett; Beth F. T. Brockett; Alison L. Browne; Andy Beanland; Mike G. Whitfield; Nigel Watson; George Alan Blackburn; Richard D. Bardgett
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    In recognition of the need to address complex environmental problems, some ecological studies have adopted social research methods to better understand the complexity of social‐ecological systems management. The overwhelming majority of these studies stop short of fully embracing qualitative methodologies. The lack of integrative social and natural science data for a topic such as soil carbon farming is problematic as theoretical carbon sequestration opportunities identified through soil mapping and process‐based models can fail to deliver the sequestration levels promised when introduced on‐the‐ground. Such mapping needs to account for the human factors involved in delivering increased soil carbon on‐farm. Here, we develop a mixed methods mapping approach to explore the potential for increasing soil carbon stocks on upland farms in the UK. Our approach considers ecological and social complexity through application of soil science, ecology, participant observation, interviews and a focus group. Our maps revealed landscapes that are full of carbon farming opportunity, but contain previously hidden barriers to the delivery of increased soil carbon. For example, they revealed that carbon farming can be considered by farmers to work in opposition to perceived 'good farming' practices and be correlated with increased incidents of livestock disease. We also discovered that the use of maps in research can be problematic as they can close down discussion and exclude local representation of an area. Trialling an interdisciplinary mixed methods approach produced new, deeper and more richly‐textured understandings about how soil carbon management is produced socially as well as ecologically on upland livestock farms. Our findings have potential to improve the success of future carbon farming initiatives by incorporating farmer knowledge and social drivers of implementation.

  20. e

    Signalling map Total map Soil subsidence

    • data.europa.eu
    wfs
    Updated Nov 8, 2022
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    (2022). Signalling map Total map Soil subsidence [Dataset]. https://data.europa.eu/data/datasets/a604012e-53ec-4fc2-b39b-019957d67f7c?locale=en
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    wfsAvailable download formats
    Dataset updated
    Nov 8, 2022
    Description

    The Soil Descent Alert Card identifies which areas are (strongly) vulnerable to soil subsidence. For this purpose, several detailed maps were used and aggregated into one qualitative interpretation. The total map is made up of 250-metre hexagons, in which information is combined from the underlying maps ‘stability’, ‘peat oxidation’ and ‘carrying capacity’. The hexagons made this aggregation technically possible and prevented the use of the information at parcel level.

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U.S. Geological Survey (2024). Qualitative Mineral Potential Map of Tungsten Skarn in the Yukon-Tanana Uplands, Eastern Alaska, USA, 2021 [Dataset]. https://catalog.data.gov/dataset/qualitative-mineral-potential-map-of-tungsten-skarn-in-the-yukon-tanana-uplands-eastern-al

Data from: Qualitative Mineral Potential Map of Tungsten Skarn in the Yukon-Tanana Uplands, Eastern Alaska, USA, 2021

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Dataset updated
Jul 6, 2024
Dataset provided by
United States Geological Surveyhttp://www.usgs.gov/
Area covered
Alaska, United States, Tanana Hills
Description

This data release supports the paper titled, “Tungsten skarn potential of the Yukon-Tanana Uplands, Eastern Alaska, USA-A mineral resource assessment”, published via open-access license in the Journal of Geochemical Exploration and available at: https://doi.org/10.1016/j.gexplo.2020.106700. The data release includes GIS data that map potential for tungsten skarn mineralization in permissive tracts in the Yukon-Tanana Uplands, Eastern Alaska, along with tables listing keywords and procedures used to produce the permissive tracts and score them for mineral potential. Supplementary Data part A lists keywords used to extract permissive rock types from the Geologic Map of Alaska (Wilson et al., 2015) to generate the permissive tract for tungsten skarn. Supplementary Data part B describes the tract polishing procedures. Supplementary Data part C lists the parameters for scoring tungsten skarn mineralization potential within the permissive tract features. The GIS data are encapsulated in a file geodatabase called AK_Wskarn_tract.gdb and are also available in the shapefile and KML formats. The geodatabase contains three datasets. The polygon feature class “primary_attributes” contains the scored tungsten skarn permissive tract subdivided by National Hydrography Dataset HUC12 drainages. A related table, “qualitative_assessment” contains detailed scoring information for each feature. The point feature class “mineral_sites_ranked” contains W-bearing mineral sites pulled from the Alaska Resource Data File with additional fields added for this study. The GIS data folder also includes the Python script used to score potential. The datasets and methods are described in detail in the accompanying paper.

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