Data from: Broad-scale occurrence of a subsidized avian predator: reducing impacts of ravens on sage-grouse and other sensitive prey

Predictions of raven occurrence in the absence of anthropogenic environmental effects. Raven point counts were related to landscape covariates using Bayesian hierarchical occupancy models and the means of the posterior distributions for relevant effects were used to generate the predictions.

Data e Risorse

Campo Valore
accessLevel public
bureauCode {010:12}
catalog_@context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
identifier USGS:5b461088e4b060350a14e941
metadata_type geospatial
modified 20200827
old-spatial -122.4891, 34.9521, -109.9680, 45.4756
publisher U.S. Geological Survey
publisher_hierarchy Department of the Interior > U.S. Geological Survey
resource-type Dataset
source_datajson_identifier true
source_hash 1eff21ccc017262b62f0d79e5681a1043dce2f5e
source_schema_version 1.1
spatial {"type": "Polygon", "coordinates": [[[-122.4891, 34.9521], [-122.4891, 45.4756], [ -109.9680, 45.4756], [ -109.9680, 34.9521], [-122.4891, 34.9521]]]}
theme {geospatial}
Gruppi
  • AmeriGEOSS
  • National Provider
  • North America
Tag
  • amerigeo
  • amerigeoss
  • biota
  • ckan
  • geo
  • geographic-information-systems-gis
  • geospatial-analysis
  • geoss
  • habitat-alteration
  • human-impacts
  • national
  • north-america
  • occupancy-model
  • predator-prey-interactions
  • sensitive-prey
  • shrublands
  • united-states
  • usgs-5b461088e4b060350a14e941
  • wildlife
isopen False
license_id notspecified
license_title License not specified
maintainer U.S. Geological Survey, Western Ecological Research Center
maintainer_email gs-b-werc_data_management@usgs.gov
metadata_created 2025-11-20T10:03:15.357882
metadata_modified 2025-11-20T10:03:15.357886
notes Predictions of raven occurrence in the absence of anthropogenic environmental effects. Raven point counts were related to landscape covariates using Bayesian hierarchical occupancy models and the means of the posterior distributions for relevant effects were used to generate the predictions.
num_resources 2
num_tags 19
title Data from: Broad-scale occurrence of a subsidized avian predator: reducing impacts of ravens on sage-grouse and other sensitive prey