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
    United States, Tanana Hills, Alaska
    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. 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.

  4. 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.

  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
    CMCC - Fondazione CMCC Centro Euro-Mediterraneo sui Cambiamenti Climatici
    EMODnet Black Sea Checkpoint
    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_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.

  7. D

    Map Comparison data

    • dataverse.nl
    application/dbf, bin +4
    Updated Jan 20, 2025
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    CJE Schulp; Benjamin Burkhard; Joachim Maes; Jasper Van Vliet; Peter H Verburg; CJE Schulp; Benjamin Burkhard; Joachim Maes; Jasper Van Vliet; Peter H Verburg (2025). Map Comparison data [Dataset]. http://doi.org/10.34894/80AA6V
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    tiff(121631), xml(1903), tiff(614665), tiff(114407), xml(7178), tiff(129037), xml(1891), xml(6813), xml(7185), tiff(245103), xml(6778), dir(6840), application/dbf(288), tiff(2646606), application/dbf(250), tiff(612404), xml(2655), tiff(2646728), xml(6779), tiff(611006), tiff(252097), xml(1844), xml(1854), xml(7043), bin(98), tiff(1301407), tiff(245137), xml(6792), tiff(122961), xml(2652), tiff(2645817), tiff(614601), xml(2657), xml(2656), pdf(222790), xml(7182), tiff(178866), xml(2469), tiff(251511), xml(7184), tiff(251825), tiff(120245), tiff(599422), xml(1926), tiff(9128423), tiff(9127160), tiff(123631), xml(7193), tiff(630605), xml(1819), xml(7165), xml(7206)Available download formats
    Dataset updated
    Jan 20, 2025
    Dataset provided by
    DataverseNL
    Authors
    CJE Schulp; Benjamin Burkhard; Joachim Maes; Jasper Van Vliet; Peter H Verburg; CJE Schulp; Benjamin Burkhard; Joachim Maes; Jasper Van Vliet; Peter H Verburg
    License

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

    Description

    Spatial data from Schulp et al., 2014. Uncertainties in ecosystem service maps: A comparison on the European scale. PloS ONE 9, e109643. Safeguarding the benefits that ecosystems provide to society is increasingly included as a target in international policies. To support such policies, ecosystem service maps are made. However, there is little attention for the accuracy of these maps. We made a systematic review and quantitative comparison of ecosystem service maps on the European scale to generate insights in the uncertainty of ecosystem service maps and discuss the possibilities for quantitative validation. This data package contains maps of the ecosystem services climate regulation, erosion protection, flood regulation, pollination, and recreation. For each service, a map of the average supply according to all analyzed maps is included, as well as a map of the uncertainty of the service. The data package contains a detailed read-me.

  8. n

    How to select appropriate hue ranges for sequential color schemes on...

    • data.niaid.nih.gov
    • search.dataone.org
    • +2more
    zip
    Updated Aug 2, 2023
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    Tai sheng Chen; Xi Lv; Kun Hu; Meng lin Chen; Lu Cheng; Wei xing Jiang (2023). How to select appropriate hue ranges for sequential color schemes on choropleth maps? A quantitative evaluation using map reading experiments [Dataset]. http://doi.org/10.5061/dryad.c59zw3rdt
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    zipAvailable download formats
    Dataset updated
    Aug 2, 2023
    Dataset provided by
    Suzhou University of Science and Technology
    Anhui Normal University
    Anhui University of Science and Technology
    Authors
    Tai sheng Chen; Xi Lv; Kun Hu; Meng lin Chen; Lu Cheng; Wei xing Jiang
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Description

    We propose map reading experiments to quantitatively evaluate the selection of hue ranges for sequential color schemes on choropleth maps. In these experiments, 60 sequential color schemes with six base hues and ten hue ranges were employed as experimental color schemes, and a total of 414 college students were invited to complete identification, comparison, and ranking tasks. Both controlled and real-map experiments were performed, each involving a web-based survey and an eye-tracking experiment. In the controlled experiments, the shapes of the map objects were relatively regular, and attribute data were randomized. In contrast, the shapes were complex in real-map experiments, and real data were employed. Our findings show that widely used color schemes with a hue range of 0º yield poor performance in all tasks; 15º hue ranges yield good performance in the comparison and ranking tasks but poor performance in the identification task. For large hue ranges of 120-360º, participants showed good performance in the identification task but poor performance in the comparison and ranking tasks. For 30-60º hue ranges, participants achieved excellent performance in the comparison and ranking tasks and acceptable performance in the identification task. We also found that the ratings of 0-60º ranges were high. Methods We recruited 246 college students to participate in the web survey and 23 college students to participate in the eye movement experiment. Through the experiment, we collected their visual data and arranged them according to different visual indicators. Then we process our data through qualitative and quantitative analysis to get the final result.

  9. 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.

  10. g

    Map Viewing Service (WMS) of the dataset: Quantitative issues reported for...

    • gimi9.com
    + more versions
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    Map Viewing Service (WMS) of the dataset: Quantitative issues reported for each analysis grid and for each flood scenario | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_fr-120066022-srv-0fbcaddc-3c75-4eb3-b9ef-a282e01a2f72/
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    License

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

    Description

    Table of quantitative issues reported for each analytical grid (TRI, municipality, neighbourhood) and for each flood scenario. European Directive 2007/60/EC of 23 October 2007 on the assessment and management of flood risks (OJ L 288, 06-11-2007, p. 27) influences the flood prevention strategy in Europe. It requires the production of flood risk management plans to reduce the negative consequences of flooding on human health, the environment, cultural heritage and economic activity. The objectives and implementation requirements are set out in the Law of 12 July 2010 on the National Commitment for the Environment (LENE) and the Decree of 2 March 2011. In this context, the primary objective of flood and flood risk mapping for IRRs is to contribute, by homogenising and objectivating knowledge of flood exposure, to the development of flood risk management plans (WRMs). This data set is used to produce maps of issues on an appropriate scale.

  11. 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.

  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. 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.

  14. 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

  15. d

    Earthquake

    • catalog.data.gov
    • data.oregon.gov
    • +2more
    Updated Jan 31, 2025
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    State of Oregon (2025). Earthquake [Dataset]. https://catalog.data.gov/dataset/earthquake
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    Dataset updated
    Jan 31, 2025
    Dataset provided by
    State of Oregon
    Description

    Click the link to connect to DOGAMI Digital Data Series for data downloads. The Oregon Seismic Hazard Database, release 1 (OSHD-1.0), is the first comprehensive collection of seismic hazard data for Oregon. This publication consists of a geodatabase containing coseismic geohazard maps and quantitative ground shaking and ground deformation maps; a report describing the methods used to prepare the geodatabase, and map plates showing 1) the highest level of shaking (peak ground velocity) expected to occur with a 2% chance in the next 50 years, equivalent to the most severe shaking likely to occur once in 2,475 years; 2) median shaking levels expected from a suite of 30 magnitude 9 Cascadia subduction zone earthquake simulations; and 3) the probability of experiencing shaking of Modified Mercalli Intensity VII, which is the nominal threshold for structural damage to buildings. The perceived shaking and damage potential maps and the probability of damaging shaking maps are intended to provide non-specialists with a qualitative way to assess earthquake hazards, and to see the variation of hazard across the state.

  16. d

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

    • search.dataone.org
    • data.niaid.nih.gov
    • +2more
    Updated May 26, 2025
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    Beth F. T. Brockett; Alison L. Browne; Andy Beanland; Mike G. Whitfield; Nigel Watson; George Alan Blackburn; Richard D. Bardgett (2025). Guiding carbon farming using interdisciplinary mixed methods mapping [Dataset]. http://doi.org/10.5061/dryad.5p489m3
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    Dataset updated
    May 26, 2025
    Dataset provided by
    Dryad Digital Repository
    Authors
    Beth F. T. Brockett; Alison L. Browne; Andy Beanland; Mike G. Whitfield; Nigel Watson; George Alan Blackburn; Richard D. Bardgett
    Time period covered
    Jan 1, 2020
    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 fo...

  17. e

    MOLISEDB.GIS.MO_car_interes_natur_bio_poly_7

    • data.europa.eu
    Updated Oct 12, 2021
    + more versions
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    (2021). MOLISEDB.GIS.MO_car_interes_natur_bio_poly_7 [Dataset]. https://data.europa.eu/data/datasets/r_molise-156a08ab-c330-4151-9c80-11a8d61afdf4-
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    Dataset updated
    Oct 12, 2021
    Description

    The feature class MO_car_interes_natur_bio_poly_7 represents the elements of biological interest for natural polygonal characters, acquired from the map of the qualitative characteristics of the territory on a scale of 1:25 000. The maps PTPAAV (Territorial Environmental Country Plan of Area Vasta) 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.

  18. 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.

  19. d

    Comprehensive inventory of seafloor mapping, ground-truthing, and predictive...

    • catalog.data.gov
    • ncei.noaa.gov
    Updated Jul 1, 2025
    + more versions
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    (Point of Contact) (2025). Comprehensive inventory of seafloor mapping, ground-truthing, and predictive habitat modeling datasets to support Deepwater Horizon mesophotic and deep benthic community restoration [Dataset]. https://catalog.data.gov/dataset/comprehensive-inventory-of-seafloor-mapping-ground-truthing-and-predictive-habitat-modeling-dat
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    Dataset updated
    Jul 1, 2025
    Dataset provided by
    (Point of Contact)
    Description

    This dataset is a collection and inventory of existing seafloor mapping, ground-truthing, and predictive habitat modeling data within the Gulf of Mexico. The inventory was compiled by the Mesophotic and Deep Benthic Communities (MDBC): Mapping Ground-truthing, and Predictive Habitat Modeling Project. This project is one of many selected by the Open Ocean Trustee Implementation Group to restore natural resources injured by the 2010 Deepwater Horizon oil spill in the Gulf of Mexico. Data collected from 1980 to 2021 were sourced from federal and state agencies, as well as from academia and industry. Each dataset is represented in the inventory as a spatial footprint with corresponding quantitative and qualitative attributes. The seafloor mapping data are primarily remote sensing observations used to survey and derive depth, shape, and texture of the seafloor and characterize the geomorphological forms, substrates, and biota used to define MDBC habitats. Ground-truthing data are in-situ observations that provide visual and analytical characterization of information documenting the abundance and distribution of MDBC, substrate, and geomorphology. Predictive habitat models analyze habitat-environment or species-environment relationships from seafloor mapping data, in situ observations, and environmental data to predict MDBC habitat. The spatial extent of the dataset is as follows, except for predictive habitat models which have a more global extent.

  20. Z

    Supplementary datasets for quantitative fate mapping

    • data.niaid.nih.gov
    • zenodo.org
    Updated Sep 27, 2022
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    Ji, Hongkai (2022). Supplementary datasets for quantitative fate mapping [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_7112096
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    Dataset updated
    Sep 27, 2022
    Dataset provided by
    Zack, Donald
    Ji, Hongkai
    Leeper, Kathleen
    Fang, Weixiang
    Asami, Soichiro
    Bell, Claire
    Sapirstein, Abel
    Kalhor, Reza
    License

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

    Description

    Supplementary datasets for quantitative fate mapping:

    Dataset S1. All quantitative fate maps. Related to Figure 1.

    Dataset S2. inDelphi predicted mutant allele probabilities for hgRNAs in MARC1 mice and iPSC line. Related to Figure 4 and Figure 7.

    Dataset S3. Simulated phylogenies, single cell lineage barcodes, Phylotime reconstructed trees, fate map and set of MARC1 hgRNAs used for all experiments. Related to all Figures.

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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

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