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Human factors that influence water availability in the Basin were discovered by reviewing hundreds of published literature items and articles from the literature following an extensive keyword search. The different factors were drawn from reviewing the literature, and datasets to support the factor were researched across open data catalogs and the world wide web. Data related to the Human Factors project water availability sectors of agriculture, industrial, municipal, and those related to ecosystem services, tourism, or other uses can be found here.
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The Science Issue and Relevance: Coastal wetlands are some of the most productive and valuable habitats in the world. Louisiana contains 40% of the United States’ coastal wetlands, which provide critical habitat for waterfowl and fisheries, as well as many other benefits, such as storm surge protection for coastal communities. In terms of ecosystem services, biological resource production, and infrastructure investments, the value of Louisiana’s coastal wetlands exceeds $100 billion. Thus, stakeholders are gravely concerned about sea-level rise which is causing coastal marsh habitat to convert to open water and resulting in the highest rates of wetland loss in the world, with nearly 1.2 million acres lost since...
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Recently intensifying drought conditions have caused increased stress to non-native tamarisk vegetation across riparian areas of the San Carlos Apache Tribe (hereafter Tribe) and the Upper Gila River watershed in Arizona and New Mexico. This also increases wildfire risk in the area, making the removal of tamarisk vegetation a primary restoration and climate adaptation objective for the Tribe. The research from this project can improve the Tribe’s capacity to map tamarisk and other riparian vegetation, in addition to monitoring the relative condition and water stress of the vegetation in a timely manner. Specifically, the project will help identify where tamarisk is on the reservation and inform restoration actions...
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The U.S. Geological Survey (USGS) Water Resources Mission Area (WMA) is working to address a need to understand where the Nation is experiencing water shortages or surpluses relative to the demand by delivering routine assessments of water supply and demand. A key part of these national assessments is identifying long-term trends in water availability, including groundwater and surface water quantity, quality, and use. This data release contains Mann-Kendall monotonic trend analyses for annual groundwater metrics at 39,964 wells located in the conterminous United States, Alaska, Hawaii, and Puerto Rico. The groundwater metrics include annual mean, maximum, and minimum water level and the timing of the annual...
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Hawaiʻi and the United States Affiliated Pacific Islands face unique challenges in adapting to climate change due to geographic isolation, coastal hazards, close cultural and economic links natural resources, and underserved populations. To address these problems, the PI-CASC works to develop actionable research products through collaborative engagement with cultural and natural resource manager to ensure applicability of the research. In efforts to further support these co-production processes, the PI-CASC Management Climate Corps was developed to connect local natural resource managers, researchers, cultural practitioners, policy professionals, community leaders, and graduate students on Hawaiʻi Islands. The...
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The data in this data release are from an effort focused on understanding social vulnerability to water insecurity, resiliency demonstrated by institutions, and conflict or crisis around water resource management. This data release focuses on definitions and metrics of resilience in water management institutions. Water resource managers, at various scales, are tasked with making complex and time-sensitive decisions in the face of uncertainty, competing objectives, and difficult tradeoffs. To do this, they must incorporate data, tacit knowledge, cultural and organizational norms, and individual or institutional values in a way that maintains consistent and predictable operations under normal circumstances, while...
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The Geospatial Fabric version 1.1 (GFv1.1 or v1_1) is a dataset of spatial modeling units covering the conterminous United States (CONUS) and most major river basins that flow in from Canada. The GFv1.1 is an update to the original Geospatial Fabric (GFv1, Viger and Bock, 2014) for the National Hydrologic Modeling (NHM). Analogous to the GFv1, the GFv1.1 described here includes the following vector feature classes: points of interest (POIs_v1_1), a stream network (nsegment_v1_1), and hydrologic response units (nhru_v1_1), with several additional ancillary tables. These data are contained within the Environmental Systems Research Institute (ESRI) geodatabase format (GFv1.1.gdb).
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The Transboundary Geospatial Fabric (TGF) is a dataset of spatial modeling units consistent with the Geospatial Fabric for National Hydrologic Modeling (abbreviated within this document as GFv1, Viger and Bock, 2014). These features were derived from National Hydrography Dataset Plus High Resolution data (NHDPlus HR, U.S. Geological Survey [USGS], 2018) in the following conterminous United States (CONUS) - Canada transboundary four-digit Hydrologic Units (HUC4): 0101, 0105, 0108, 0901, 0902, 0903, 0904, 1005, 1006, 1701, 1702, and 1711. The data described here include the following vector feature classes: points of interest (POIs), a stream network (nsegment), major waterbodies (waterbodies), and hydrologic response...
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Jointly managed by multiple states and the federal government, there are many ongoing efforts to characterize and understand water quality in the Delaware River Basin (DRB). Many State, Federal and non-profit organizations have collected surface-water-quality samples across the DRB for decades and many of these data are available through the National Water Quality Monitoring Council's Water Quality Portal (WQP). For this data release, WQP data in the DRB were harmonized, meaning that they were processed to create a clean and readily usable dataset. The harmonization process included the synthesis of parameter names and fractions, the condensation of remarks and other data qualifiers, the resolution of duplicate...
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Moloka‘i has great wetland restoration potential in Hawaiʻi, but most remaining sites are highly degraded. The future of several endangered waterbirds and insects relies on restoring coastal wetland habitat that is resilient under sea-level rise and coastal flooding. Currently, managers lack background data on Molokaʻi to prioritize sites for restoration. In this project, Researchers will develop a comprehensive dataset and create a prioritization plan for coastal wetland restoration. The team will work closely with project partners and stakeholders to develop a well-vetted plan to support endangered species and meeting community needs. Existing maps and spatial data about the Molokaʻi landscape will be compiled...
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This dataset includes spreadsheets with statistical data (mean and median absolute error) used in deciding which interpolation method best fit the corresponding dataset. All statistical data were paired with a visual inspection of the interpolation prior to determining the final raster product. All spreadsheets were generated using an automated python script (Jahn, 2020).
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This data release provides water-quality trends for rivers and streams in the Delaware River Basin determined using the Weighted Regressions on Time, Discharge, and Season (WRTDS) model and the Seasonal Kendall Trend (SKT) test. Sixteen water-quality parameters were assessed, including nutrients (ammonia, nitrate, filtered orthophosphate, total nitrogen, total phosphorus, and unfiltered orthophosphate), major ions (calcium, chloride, magnesium, potassium, sodium, and sulfate), salinity indicators (total dissolved solids and specific conductance), and sediment (total suspended solids and suspended sediment concentration). The child items include the input and output data used in the modeling and testing of water-quality...
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Stratification and general appearance of Pliocene and early Pleistocene terrace deposits, most of which have been classified as "Lafayette Formation." The strata seems to range generally from 5 to 10 feet in thickness and to be comparatively persistent and yet lenticular and theses seem to be diagnostic features; part of type exposure of Port Hudson formation at Port Hickey, probably early Pleistocene but shows same general form of stratification as Pliocene terrace deposits. Louisiana. June 9, 1915. Plate 48-E in U.S. Geological Survey Professional Paper 108. 1918.
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Iran Earthquake September 16, 1978. Damage to a building in Tabas. Photo by N. Orsini. Page 71, Earthquake Information Bulletin, v.11 no.2.
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This dataset includes georeferenced TIFF files from three separate reports for the Olean study area that have been digitized into feature classes within ArcGIS. Not all digitized and georeferenced data was necessarily used in the final interpolations, however they may have contributed to understanding the local hydrogeology.
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Unconformity between diatomaceous Maricopa shale and clay shale of Etchegoin formation in San Emigdio region; looking west across Muddy creek, the bedding of the diatomaceous shale is indicated by the hard calcareous layers. The bedding of the clay shale is practically parallel with the contact, which is shown by the sharp change in color. Kern County, California. November 3, 1912. Plate 10-B in U.S. Geological Survey Professional Paper 116. 1920.
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Kane County, Utah. Winsor formation capped by Dakota on Alton-Johnson road, 3 plus-minus miles east of Sink Creek. 1938.
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Kane Co., Utah, Ledge of Gypsum (center) in the Curtis formation underlain by Entrada Sandstone. Averett Wash. 1940.
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Coastal flooding and erosion caused by storms and sea-level rise threaten infrastructure and public safety in Alaska Native communities. Though the problem is well known, there are few tools that can assess local vulnerability to coastal flood hazards. Even fewer tools can be customized with specific community information to support local adaptation planning. The main goal of this project is to use the Coastal Storm Modeling System (CoSMoS) platform to co-produce customized local flood hazard maps and online tools to support the development of culturally-appropriate and cost-efficient adaptation strategies in Alaska. The project team will work with federal, state, and local community representatives to understand...
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Climatic warming has contributed to recent increases in severe wildfires across the Pacific Northwest (PNW). Following severe wildfire, a burned forest has an increased likelihood burning again within several decades, which can greatly alter vegetation recovery. These changes are of increasing concern to forest managers, conservationists, researchers, the public, and culture bearers. However, more information is needed to gauge how PNW forests respond to severe wildfire reburns under ongoing climate change. In this project, researchers and natural resource managers will jointly develop new applied science to anticipate and gauge the resilience of forests in the western Cascades of the PNW to climate change impacts....