73 datasets found
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Federal
Riparian vegetation data downstream of Glen Canyon Dam in Glen Canyon National Recreation Area and Grand Canyon National Park, AZ from 2014 to 2019
Department of the Interior —
These data were collected by the Grand Canyon Monitoring and Research Center (GCMRC) to support riparian vegetation monitoring along the Colorado River between Glen... -
Federal
Physical and Biological Monitoring Data Collected from Restored Wetland Units at Shiawassee National Wildlife Refuge, Saginaw, MI, USA (2022)
Department of the Interior —
These data describe water chemistry and fish, macroinvertebrate and vegetation communities within recently restored, historically-restored, and unrestored wetland... -
Federal
Bighorn Mountains Forest Mapping - Probability of Occurrence Model for Coniferous Cover
Department of the Interior —
This is the probability of occurrence model output for coniferous vegetation cover associated with the project: “Status and Trends of Deciduous Communities in the... -
Federal
Plant genetic structure data from riparian areas within the Grand Canyon region in northern Arizona
Department of the Interior —
These data represent nuclear microsatellite data collected from four riparian plant species that occur in and around Grand Canyon National Park: Populus fremontii... -
Federal
Genomic data for rabbitbrush and big sagebrush plant communities in western North America (2017 - 2019) and Fendler’s globemallow in New Mexico (2022)
Department of the Interior —
These data were compiled to highlight hybridization mosaics and genotype-environment associations across three study systems containing taxa critical to widespread... -
Federal
Seasonal ecophysiological measurement data from December 2015 to September 2016, southeastern Utah
Department of the Interior —
These data were compiled to investigate differentiation in physiological activity varies through time for different functional groups. These include the seasonal... -
Federal
Early establishment of disparate big sagebrush (Artemisia tridentata) populations in a post-fire, common garden context
Department of the Interior —
This dataset contains information on seedling survival, physiochemical, morphological, and eco-physiological characteristics of seedlings grown and planted from seed... -
Federal
Bighorn Mountains Forest Mapping Model Evaluation Data
Department of the Interior —
This is the evaluation data associated with the project: “Status and Trends of Deciduous Communities in the Bighorn Mountains”. The aim of the study is to assess the... -
Federal
Phragmites australis Transcriptome Assembly Optimization
Department of the Interior —
Nonnative Phragmites australis (common reed) is widely distributed across North America and insufficient knowledge of P. australis has impeded the efficiency of... -
Federal
Morphological and genetic data for Phragmites australis along the Colorado River and in tributaries from southern Utah to west-central Arizona
Department of the Interior —
These data were compiled to provide land-management relevant information on the native and nonnative subspecies (subsp.) of Phragmites australis (subsp. americanus... -
Federal
Bighorn Mountains Forest Mapping - Probability of Occurrence Model for Deciduous Cover
Department of the Interior —
This is the probability of occurrence model output for deciduous vegetation cover associated with the project: “Status and Trends of Deciduous Communities in the... -
Federal
Survey data of larval fish, zooplankton, and aquatic plants collected from the St. Clair River delta, MI (2010-2011)
Department of the Interior —
The St. Clair River delta, part of the St. Clair-Detroit River System (SCDRS), is the most fished coastal wetland area in the Laurentian Great Lakes and provides... -
Federal
Field Site Locations from Phragmites Bioherbicide 2023 Field Experiment in Southeast Michigan
Department of the Interior —
This dataset represents the locations of experimental plots that were used during the Phragmites Bioherbicide 2023 field experiment. To meet the criteria for...
73 datasets found