<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20231012</CreaDate>
<CreaTime>13173000</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<MapLyrSync>TRUE</MapLyrSync>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>BLM_Natl_PFYC</resTitle>
</idCitation>
<idAbs>&lt;div style='text-align:Left;font-size:12pt'&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;&lt;span&gt;Updated in 2022 to include additional lower 48 conterminous US states and remove Alaska from the national compilation. Downloadable version of this data is available at https://gbp-blm-egis.hub.arcgis.com/datasets/813066f798704622ac8abf75d8786c69/about. Geologic formations coverage layer: This Layer contains values for the Potential Fossil Yield Classification (PFYC) for ranking the potential of a geologic unit to produce scientifically significant fossils. The features will begin to display at map scale 1:577,793 or as the user continues to zoom in. Please use the BLM_Natl_PFYC_GeologicFormation_Cache map service to view features at scales further zoomed out from 1:577,793. This Layer contains polygon boundaries between mappable geologic units and polygon codes for the mappable geologic units. It also contains fields for geologic ages and sort codes for sorting the units by time. Additional fields were added to the source data including earliest geologic age, latest geologic age, PFYC justification, PFYC rank (1-5), and a coded representation for the standardized BLM coloring scheme for PFYC maps. Geologic Map Index Layer: This layer outlines the source maps compiled to make the Geologic Formations layer. It is visible at all scales. It is a visual index that contains sources of map information. The PFYC model is used to evaluate potential impacts to fossils in ground-disturbing actions, or to help inform research. The data consists of three components, two geospatial datasets and a written report with details on classification justifications.&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</idAbs>
<searchKeys>
<keyword>Bureau of Land Management</keyword>
<keyword>Department of Interior</keyword>
<keyword>BLM</keyword>
<keyword>DOI</keyword>
<keyword>BLM PYFC</keyword>
<keyword>PYFC</keyword>
<keyword>Geologic Formations</keyword>
<keyword>Geologic Map Index</keyword>
<keyword>Potential Fossil Yield Classification</keyword>
<keyword>polygon</keyword>
</searchKeys>
<idPurp>The Potential Fossil Yield Classification (PFYC) system is a predictive model for areas that are likely to produce fossils of scientific interest.</idPurp>
<idCredit>U.S. Department of the Interior, Bureau of Land Management (BLM), Paleo Program, Headquarters (HQ)</idCredit>
<resConst>
<Consts>
<useLimit>&lt;div style='text-align:Left;font-size:12pt'&gt;&lt;p&gt;&lt;span&gt;PUBLIC. Bureau of Land Management (BLM). These data are provided by BLM "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. The information contained in these data is dynamic and may change over time. The data are not better than the original sources from which they were derived, and both scale and accuracy may vary across the data set. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to carefully consider the content of the metadata file associated with these data. These data are neither legal documents nor land surveys, and must not be used as such. Official records may be referenced at most BLM offices. Please report any errors in the data to the BLM office for which it was obtained. The BLM should be cited as the data source in any products derived from these data. Any Users wishing to modify the data should describe the types of modifications they have performed. The User should not misrepresent the data.&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;</useLimit>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
