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A limited amount of valid scientific information about global climate change and its detrimental impacts has reached the public and exerted a positive impact on the public policy process or future planning for adaptation and mitigation. This project was designed to address this limitation by bringing together expertise in the social and communication sciences from targeted academic institutions affiliated with the Department of the Interior’s Climate Science Centers (CSCs) through a workshop. The project team brought together expertise in the social and communication sciences from targeted academic institutions, particularly experts and scholars who are affiliated with the nation’s CSCs, by means of an invited...
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This data release contains time-lapse imagery taken at U.S. Geological Survey (USGS) stream gaging stations with associated hydrologic and meteorological data related to each image. These data are to help improve the development of models in detecting water elevation at a given stream gaging station. Images of the water surface and surroundings at USGS stream gaging stations were taken at varying time intervals ranging between every five minutes to an hour. Cameras used include trail cameras, web cameras, and the custom river imagery sensing (RISE) camera. Time-lapse images for each USGS stream gaging station are provided in compressed files (file extension .7z). These files are named in a format to identify the...
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A total of 27 temperature sensors were deployed along the lower 90 miles of the Yakima River at 7 locations where cold water had been previously observed. These 7 cold-water areas had 3 to 6 temperature sensors installed to document the extent and duration of these cold-water areas and their impacts on mainstem temperatures of the Lower Yakima River. Cold-water areas included the mouths of tributaries, alongside channels, and within alcoves. Sensor deployments ranged from 1 to 2 years beginning in October 2018. All temperature data are included in the Yakima.temperatures.zip folder. Details of each monitoring location are provided in the site.locs.csv file. In addition to the raw data and site location information,...
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The U.S. Geological Survey (USGS) has compiled a geodatabase containing mineral-related geospatial data for 19 countries of interest in the Indo-Pacific region (area of study): Bangladesh, Bhutan, Brunei, Burma, Fiji, Malaysia, Mongolia, Nauru, New Caledonia, New Zealand, Papua New Guinea, Philippines, Singapore, Solomon Islands, South Korea (Republic of Korea), Sri Lanka, Taiwan, Timor-Leste, and Vietnam. The data can be used in analyses of the extractive fuel and nonfuel mineral industries integral for the successful operation of the mineral industries within the area of study. This geodatabase reflects the USGS ongoing commitment to its mission of understanding the nature and distribution of global mineral commodity...
Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Asia, Bangladesh, Bhutan, Brunei, Burma, All tags...
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This data release contains three 10-meter resolution GeoTIFFs representing 10-meter (35-foot), 30-meter (100-foot) and 90-meter (300-foot) riparian buffer zones along shorelines, rivers, streams, and other lotic (flowing) water features. The layers are binary, where the value of each cell represents the presence or absence of the buffer zone. In addition, the data release contains shapefile layers that document the extent of corrections that were made to the data to address errors in the stream network (see processing steps section for more details). The methodology combines various fine-scale input layers, including a 1:24k stream network and Chesapeake Bay 1-meter resolution Land Use/Land Cover to approximate...
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Measurements of fog, wind, fog interception, soil moisture, and fog effects on plant water use and plant survival were collected to test a model to estimate CWI as a function of fog-water movement and vegetation characteristics.
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Note: this data release is currently being revised and is temporarily unavailable. The Monitoring Trends in Burn Severity (MTBS) Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic scales and are intended to meet a variety of information needs that require consistent data...
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The broadly shared information needs for grassland managers in the North Central region to meet conservation goals in a changing climate are presented and ranked as highly relevant, somewhat relevant, or not relevant for federal, state, tribal, and non-governmental grassland-managing entities.
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Fire history metrics enable rapidly increasing amounts of burned area data to be collapsed into a handful of data layers that can be used efficiently by diverse stakeholders. In this effort, the U.S. Geological Survey's Landsat Burned Area product was used to identify burned area across CONUS over a 40-year period (1984-2023). The Landsat BA product was consolidated into a suite of annual BA products, which in-turn were used to calculate a series of contemporary fire history metrics (30 m resolution). Fire history metrics included: (1) fire frequency (FRQ), (2) time since last burn (TSLB) and (3) year of last burn (YLB), (4) longest fire-free interval (LFFI), and (5) average fire interval length (FIL). All metrics...
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The data set includes the daily streamflow predictions from (Long Short-Term Memory) LSTM models for 45 basins (27 basins in New England region and 18 basins in Great Basin region) in contrasting hydroclimate regions (water-limited Great Basin region and energy-limited New England region) in the United States. Also, the shapefiles of study basins and hydroclimate regions, and data to support the statistical results, figures, and tables are included.
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Previous research identified species of invasive plants in Hawai'i which are highly flammable and act as fuels in wildfires across Hawai'i. This work aimed to map the distribution of these species (largely grasses) around the islands of Hawai'i with the goal of using the locations for species distribution modeling. All data represents presence data, no absence data were recorded. Data are largely from within the past 20 years, but some georeferenced herbarium specimens go as far back as 1905. Data were obtained from georeferenced herbarium specimens, vegetation plot data, citizen science data (iNaturalist) reviewed by the authors, and data from roadside surveys conducted as part of this research to map these species....
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Measurements of fog, wind, fog interception, soil moisture, and fog effects on plant water use and plant survival were collected along with these vegetation data to test a model to estimate CWI as a function of fog-water movement and these vegetation characteristics.
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Data of a calibrated fog gauge at each of the five stations. Parameters include total fog water collection, wind-driven rain collection, fog-only water collection, cloud water flux, and cloud liquid water content.
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This dataset, VegDischarge v1, represents a significant contribution to the understanding of hydrological dynamics across Africa from 2000 to 2021. It encompasses high-resolution (1km x 1km) monthly raster data of deep drainage, surface runoff, and total runoff, derived from the VegET (VegetationEvapoTranspiration) hydrological model (Senay et al., 2023). Additionally, routed discharge data (Mizukami et al., 2021) for over 63,000 river segments is provided, employing different routing algorithms (DW, KW, KWT, MC, and IRF) to demonstrate variability in river discharge patterns. This comprehensive dataset is stored in NetCDF and Shapefile formats, offering valuable insights for policymakers, stakeholders, and researchers...
The outputs of two versions of the Single-Layer Wet Canopy Water Balance model. Parameters include cloud water interception, evaporation of rainwater or fog water from wet canopy (interception evaporation), and canopy water storage.
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This data release contains U.S. Geological Survey (USGS) field survey data files for selected stream crossing locations in the Squannacook River Basin, north-central Massachusetts. The surveyed stream cross sections and culvert dimensions were used in developing U.S. Army Corps of Engineers (USACE) Hydrologic Engineering Center’s River Analysis System (HEC-RAS) hydraulic models. The data also include original survey notes, survey sketches, and photographs for each field survey conducted at stream crossing locations. The field survey documented and surveyed five stream cross sections for the upstream approach, upstream culvert face, top of road deck, downstream culvert face, and downstream exit. Global Navigation...
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These spatial data layers form the bases for the Governance Vulnerability Analysis which is incorporated into the project's Story Map which integrates resident consumption, spatial and climate vulnerability, and governance analysis, with research findings discussed at the end. Ridge-to-reef for coastal food security in Palau StoryMap: https://uhm.maps.arcgis.com/apps/Cascade/index.html?appid=5eb69132599942479a1b958c7977a970
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Measurements of fog, wind, fog interception, soil moisture, and fog effects on plant water use and plant survival were collected to test a model to estimate CWI as a function of fog-water movement and vegetation characteristics.
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Results from Generalized Additive models (GAM), Random Forest models (RFM), and Cubist models (CUB) for three Dauphin Island Sealab (DIS) operated salinity sites in Mobile Bay are reported in this data release. These sites included Meaher Park (DIS:MHPA1), Middle Bay Lighthouse (DIS:MBLA1), and Dauphin Island (DIS:DPIA1). The constructed models predicted a 40-year daily salinity record from 1980 to 2021 at each site based on incomplete imputed salinity records and several explanatory variables. Explanatory variables included: daily streamflow from 8 United States Geological Survey (USGS) streamgages, daily minimum and maximum temperature, precipitation, vapor pressure, wind speed, wind direction, horizontal and...
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If current climate change trends continue, rising sea levels could inundate low-lying islands across the globe. The Northwestern Hawaiian Islands (NWHI) is a group of islands of great conservation importance that is threatened by sea-level rise. Stretching 2,000 km beyond the main Hawaiian Islands, the NWHI are a World Heritage Site and part of the Papahānaumokuākea Marine National Monument. The islands support the largest tropical seabird rookery in the world, providing breeding habitat for 21 species of seabirds, 4 land bird species, and essential habitat for other resident and migratory wildlife. Because these are low-lying islands, even small increases in sea-level could result in the loss of critical habitat,...
Categories: Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2009, Baby Brooks Bank, Bank 66, Birds, Birds, All tags...


map background search result map search result map Predicting the Risk of Species Extinctions Due to Sea-Level Rise in the Northwestern Hawaiian Islands Building Capacity within the CSC Network to Effectively Deliver and Communicate Science to Resource Managers and Planners Temperature data collected from the Lower Yakima River from October 2018 to October 2020 Contemporary fire history metrics for the conterminous United States (1984-2023) (ver. 3.0, April 2024) Vegetation Characterization for 5 sites in Hawai'i from 2016-2019 Imagery training dataset for the River Imagery Sensing (RISE) application Calibrated Fog Gauge Data for 5 sites in Hawai'i from 2016-2019 Canopy Water Balance Output Data for 5 sites in Hawai'i from 2016-2019 Climate Data for 5 sites in Hawai'i from 2016-2019 Cloud Water Interception Parameters for 5 sites in Hawai'i from 2016-2019 Survey Data for Hydraulic Models at Selected Stream Crossing Sites in the Squannacook River Basin, North-Central Massachusetts Broadly Shared Information Needs Among Grassland Managers in the North Central Region Spatial Data Layers for Ridge-to-Reef Governance Vulnerability Analysis in Palau Chesapeake Bay Watershed 1:24k 10, 30 and 90-meter Riparian Buffer Zones Modeled daily salinity derived from multiple machine learning methodologies and Generalized Additive models for three salinity monitoring sites in Mobile Bay, northern Gulf of Mexico, 1980–2021 Locations of Fire Promoting Alien Plants Across the Islands of Hawaii Based on Field Surveys and Museum Collections from 1903-2023 Streamflow Predictions (2006-2014) from LSTM Models in Water- and Energy-limited Regions in the United States Compilation of Geospatial Data (GIS) for the Mineral Industries of Select Countries in the Indo-Pacific Hydrologic gridded runoff and routed discharge data for Africa from 2000-2021 Monitoring Trends in Burn Severity Thematic Burn Severity Mosaic (ver. 7.0, January 2024) (Under Revision) Survey Data for Hydraulic Models at Selected Stream Crossing Sites in the Squannacook River Basin, North-Central Massachusetts Spatial Data Layers for Ridge-to-Reef Governance Vulnerability Analysis in Palau Modeled daily salinity derived from multiple machine learning methodologies and Generalized Additive models for three salinity monitoring sites in Mobile Bay, northern Gulf of Mexico, 1980–2021 Vegetation Characterization for 5 sites in Hawai'i from 2016-2019 Calibrated Fog Gauge Data for 5 sites in Hawai'i from 2016-2019 Canopy Water Balance Output Data for 5 sites in Hawai'i from 2016-2019 Climate Data for 5 sites in Hawai'i from 2016-2019 Cloud Water Interception Parameters for 5 sites in Hawai'i from 2016-2019 Chesapeake Bay Watershed 1:24k 10, 30 and 90-meter Riparian Buffer Zones Predicting the Risk of Species Extinctions Due to Sea-Level Rise in the Northwestern Hawaiian Islands Locations of Fire Promoting Alien Plants Across the Islands of Hawaii Based on Field Surveys and Museum Collections from 1903-2023 Building Capacity within the CSC Network to Effectively Deliver and Communicate Science to Resource Managers and Planners Broadly Shared Information Needs Among Grassland Managers in the North Central Region Streamflow Predictions (2006-2014) from LSTM Models in Water- and Energy-limited Regions in the United States Imagery training dataset for the River Imagery Sensing (RISE) application Contemporary fire history metrics for the conterminous United States (1984-2023) (ver. 3.0, April 2024) Monitoring Trends in Burn Severity Thematic Burn Severity Mosaic (ver. 7.0, January 2024) (Under Revision) Hydrologic gridded runoff and routed discharge data for Africa from 2000-2021 Compilation of Geospatial Data (GIS) for the Mineral Industries of Select Countries in the Indo-Pacific