HydroSHEDS (Hydrological data and maps based on SHuttle Elevation Derivatives at multiple Scales) provides hydrographic information in a consistent and comprehensive format for regional and global-scale applications. HydroSHEDS offers a suite of geo-referenced data sets (vector and raster), including stream networks, watershed boundaries, drainage directions, and ancillary data layers such as flow accumulations, distances, and river topology information. HydroSHEDS is derived from elevation data of the Shuttle Radar Topography Mission (SRTM) at 3 arc-second resolution. Available HydroSHEDS resolutions range from 3 arc-second (approx. 90 meters at the equator) to 5 minute (approx. 10 km at the equator) with seamless near-global extent.

Citation:Title: HydroSHEDS (BAS) - Africa drainage basins (watershed boundaries) at 30s resolutionCredits: World Wildlife Fund (WWF)Publication Date: 2006Publisher: U.S. Geological SurveyOnline Linkages: http://hydrosheds.cr.usgs.govhttp://www.worldwildlife.org/hydroshedsOther Citation Info: Please cite HydroSHEDS as: Lehner, B., Verdin, K., Jarvis, A. (2006): HydroSHEDS Technical Documentation. World Wildlife Fund US, Washington, DC. Available at http://hydrosheds.cr.usgs.gov.

This layer package was loaded using Data Basin.Click here to go to the detail page for this layer package in Data Basin, where you can find out more information, such as full metadata, or use it to create a live web map.

Project Goals: To identify regions of recently evolved endemic (neo-endemism) mammal species in California and thereby infer areas of rapid evolutionary diversification, which may help guide conservation prioritization and future planning for protected areas. Four species-based GIS rasters were produced of mammalian endemism (see reference for details ). This is: Richness of species distribution models weighted by inverse range size Abstract: The high rate of anthropogenic impact on natural systems mandates protection of the evolutionary processes that generate and sustain biological diversity. Environmental drivers of diversification include spatial heterogeneity of abiotic and biotic agents of divergent selection, features that suppress gene flow, and climatic or geological processes that open new niche space. To explore how well such proxies perform as surrogates for conservation planning, we need first to map areas with rapid diversification — ‘evolutionary hotspots’. Here we combine estimates of range size and divergence time to map spatial patterns of neo-endemism for mammals of California, a global biodiversity hotspot. Neo-endemism is explored at two scales: (i) endemic species, weighted by the inverse of range size and mtDNA sequence divergence from sisters; and (ii) as a surrogate for spatial patterns of phenotypic divergence, endemic subspecies, again using inverse-weighting of range size. The species-level analysis revealed foci of narrowly endemic, young taxa in the central Sierra Nevada, northern and central coast, and Tehachapi and Peninsular Ranges. The subspecies endemism-richness analysis supported the last four areas as hotspots for diversification, but also highlighted additional coastal areas (Monterey to north of San Francisco Bay) and the Inyo Valley to the east. We suggest these hotspots reflect the major processes shaping mammal neo-endemism: steep environmental gradients, biotic admixture areas, and areas with recent geological/climate change. Anthropogenic changes to both environment and land use will have direct impacts on regions of rapid divergence. However, despite widespread changes to land cover in California, the majority of the hotspots identified here occur in areas with relatively intact ecological landscapes. The geographical scope of conserving evolutionary process is beyond the scale of any single agency or nongovernmental organization. Choosing which land to closely protect and/or purchase will always require close coordination between agencies. Citation:DAVIS, E.B., KOO, M.S., CONROY, C., PATTON, J.L. & MORITZ, C. (2008) The California Hotspots Project: identifying regions of rapid diversification of mammals. Molecular Ecology 17, 120 -138. This dataset was reviewed in another manner. Spatial Resolution: 0.0083333338 DD This layer package was loaded using Data Basin.Click here to go to the detail page for this layer package in Data Basin, where you can find out more information, such as full metadata, or use it to create a live web map.

This data release contains principal facts of gravity measurements collected by the U.S. Geological Survey in 2013-2022, a compilation of existing and new density and magnetic susceptibility data, horizontal gradient maxima derived from gravity and magnetic potential fields, and depth of Cenozoic basin fill in the Hayfork basin from inversion of gravity data of the southern Klamath Mountains, California. These data support modeling of gravity and magnetic anomalies to understand the structure beneath the southern Klamath Mountains.

DWR has a long history of studying and characterizing California’s groundwater aquifers as a part of California’s Groundwater (Bulletin 118). The Basin Characterization Program provides the latest data and information about California’s groundwater basins to help local communities better understand their aquifer systems and support local and statewide groundwater management.

Under the Basin Characterization Program, new and existing data (AEM, lithology logs, geophysical logs, etc.) will be integrated to create continuous maps and three-dimensional models. To support this effort, new data analysis tools will be developed to create texture models, hydrostratigraphic models, and aquifer flow parameters. Data collection efforts will be expanded to include advanced geologic, hydrogeologic, and geophysical data collection and data digitization and quality control efforts will continue. To continue to support data access and data equity, the Basin Characterization Program will develop new online, GIS-based, visualization tools to serve as a central hub for accessing and exploring groundwater related data in California.

Additional information can be found on the Basin Characterization Program webpage.

DWR's Evaluation of Groundwater Resources: Maps and Models

DWR will undertake local, regional, and statewide investigations to evaluate California's groundwater resources and develop state-stewarded maps and models. New and existing data will be combined and integrated using the analysis tools described below to develop maps and models to be developed will describe the grain size, the hydrostratigraphic properties, and hydrogeologic conceptual properties of California’s aquifers. These maps and models help groundwater managers understand how groundwater is stored and moves within the aquifer. The models will be state-stewarded, meaning that they will be regularly updated, as new data becomes available, to ensure that up-to-date information is used for groundwater management activities. The first iterations of the following maps and models will be published as they are developed:

• Texture Models
• Hydrostratigraphic Models
• Aquifer Recharge Potential Maps
• Extent of Important Aquifer Units
• Depth to Basement
• Depth to Freshwater

Data Collection

As a part of the Basin Characterization Program, advanced geologic, hydrogeologic, and geophysical data will be collected to improve our understanding of groundwater basins. Data collected under Basin Characterization are collected at a local, regional, or statewide scale depending on the scope of the study.

Local Investigations:

• Madera & North Kings
• Pajaro
• Western San Joaquin Valley

Regional Investigations:

• Sacramento Valley
• Four County Area of San Joaquin Valley (Madera, Fresno, Kings, and Tulare)
• San Joaquin Valley

Statewide Investigations:

• Statewide AEM Surveys

Data Compilation and Digitization

Digitized Existing Lithology and Geophysical Logs

Lithology and geophysical logging data have been digitized to support the Statewide AEM Survey Project and will continue to be digitized to support Basin Characterization efforts. All digitized lithology logs with Well Completion Report IDs will be imported back into the OSWCR database.

Digitized lithology and geophysical logging can be found under the following resource:

• Digitized Lithology and Geophysical Logs.

Analysis Tools and Process Documents

To develop the state-stewarded maps and models outlined above, new tools and process documents will be created to integrate and analyze a wide range of data, including geologic, geophysical, and hydrogeologic information. By combining and assessing various datasets, these tools will help create a more complete picture of California's groundwater basins. All tools, along with guidance documents, will be made publicly available for local groundwater managers to use to support development of maps and models at a local scale. All tools and guidance will be updated as revisions to tools and process documents are made.

Analysis tools and process documents can be found under the following resource:

• Data Analysis Tools and Process Documents.

Data Visualization

Data access equity is a priority for the Basin Characterization Program. To ensure data access equity, the Basin Characterization Program has developed applications and tools to allow data to be visualized without needing access to expensive data visualization software. This list below provides links and descriptions for the Basin Characterization's suite of data viewers.

SGMA Data Viewer: Basin Characterization tab: Provides maps, depth slices, and profiles of Basin Characterization maps, models, and datasets, including the following:

• Aquifer Recharge Potential Maps
• Subsurface Texture Model Depth Slices
• Statewide AEM Survey Texture Depth Slices
• Lithology Log Location Maps
• Geophysical Logs Location Maps
• Statewide AEM Survey Profile Images

3D AEM Data Viewer: Displays the Statewide AEM Survey electrical resistivity and coarse fraction data, along with lithology logs, in a three-dimensional space.

DWR's Subsurface Viewer: Provides a map view and profile view of the Statewide AEM Survey electrical resistivity and coarse fraction data, along with lithology logs. The map view dynamically shows the exact location of AEM data displayed.

Basin Characterization Exchange

The Basin Characterization Exchange (BCX) is a meeting series and network space for the Basin Characterization community to exchange ideas, share lessons learned, define needed guidance, and highlight research topics. The BCX is open to federal, state, and local agencies, consultants, NGOs, academia, and interested parties who participate in Basin Characterization efforts. The BCX also plays a pivotal role in advancing the Basin Characterization Program’s activities and goals. BCX meetings will include regular updates from the Basin Characterization Program and participants can provide feedback and recommendations. Participants will also be provided with early opportunities to test data analysis tools and submit comments on draft process and guidance documents. BCX meetings are (generally) held the 3rd Tuesday of the month from 12:30 - 1:30 pm (PST).

Join the BCX listserv to become a BCX member and receive meeting registration emails. Check the BCX Hub for the upcoming schedule and past meeting materials.

Bengal Bay Tiger-Human Inundation Study Tiger persist areas (Conservation Biology Institute): To delineate the most important areas where wild tigers persist, to classify these areas according to their current conservation status, and to prioritize them for conservation investment. This dataset was obtained by the Conservation Biology Institute (CBI) from the Save the Tiger Fund (www.savethetigerfund.org). This data was downloaded from Data Basin (http://app.databasin.org/app/pages/datasetPage.jsp?id=8d0502412aa54a5b80d428887532b47e) or can be obtained from ArcGIS.com (http://www.arcgis.com/home/item.html?id=4852924bf1c54e1fb0b8988f5c15c0dc) Tiger extant range (known or thought very likely to occur) (IUCN Red List of Threatened Species Ver 2010.4): Current extant range of the tiger (panthera tigris). (IUCN Red List of Threatened Species Ver 2010.4): IUCN 2010. IUCN Red List of Threatened Species. Version 2010.4. http://www.iucnredlist.org>. Downloaded on 21 November 2011 Tiger extirpated range (Asia) (Conservation Biology Institute): To designate areas in the extirpated portion of the tiger range where large areas of habitat remains, and that may have restoration potential in the long-term. This dataset was obtained by the Conservation Biology Institute (CBI) from the Save the Tiger Fund (www.savethetigerfund.org). This data was downloaded from Data Basin (http://app.databasin.org/app/pages/datasetPage.jsp?id=87c920f814de4d878d091d6a899f0454) or can be obtained from ArcGIS.com (http://www.arcgis.com/home/item.html?id=ec810ab9c43c48bea05b4747c969079a) Tiger range circa 1850 (Global Tiger Initiative): Historical range of the tiger circa 1850. This data was digitized from a map created by the Global Tiger Initiative (http://www.globaltigerinitiative.org/data/pdf/tiger-map.pdf). Map data credits: "Tiger Historic range, and Remaining Habitat: Sanderson et al. 2006, Dinerstein et al. 2007" Bengal Bay - LandCover_GlobCover: This dataset is an extract from the GlobCover 2009 land cover map, covering southern Asia. The GlobCover 2009 land cover map is derived by an automatic and regionally-tuned classification of a time series of global MERIS (MEdium Resolution Imaging Spectrometer) FR mosaics for the year 2009. The global land cover map counts 22 land cover classes defined with the United Nations (UN) Land Cover Classification System (LCCS). For more information on the GlobCover project, see http://ionia1.esrin.esa.int/. This data was downloaded from Data Basin (http://app.databasin.org/app/pages/datasetPage.jsp?id=6379d5d1b58142b1a4597728bbfb9941) and can also be found on ArcGIS.com (http://www.arcgis.com/home/item.html?id=429ec926290f4b59a4f7d7a96dae166f) BengalBay_Population: First and second level sub-national boundaries for Bangladesh, India, and Myanmar from the FAO web site (http://www.fao.org/geonetwork/srv/en/main.home). FAO downloaded the data from UNEP-GRID, and added the FAO coding system. The administrative boundary polygons were joined with population statistics from GeoHive (http://www.geohive.com)

GTOPO30 is a global digital elevation model (DEM) resulting from a collaborative effort led by the staff at the U.S. Geological Survey's EROS Data Center in Sioux Falls, South Dakota. The name GTOPO30 is derived from the fact that elevations in GTOPO30 are regularly spaced at 30-arc seconds (approximately 1 kilometer). GTOPO30 was developed to meet the needs of the geospatial data user community for regional and continental scale topographic data. This release represents the completion of global coverage of 30-arc second elevation data that have been available from the EROS Data Center beginning in 1993. Several areas have been updated and the entire global data set has been repackaged, so these data supersede the previously released continental data sets.

Citation: Title: 30 arc second DEM of Southeast AsiaCredits: U.S. Geological Survey's Center for Earth Resources Observation and Science (EROS)Online Linkages: http://eros.usgs.gov/#/Find_Data/Products_and_Data_Available/gtopo30_infoOther Citation Info: GTOPO30, completed in late 1996, was developed over a three year period through a collaborative effort led by staff at the U.S. Geological Survey's Center for Earth Resources Observation and Science (EROS). The following organizations participated by contributing funding or source data: the National Aeronautics and Space Administration (NASA), the United Nations Environment Programme/Global Resource Information Database (UNEP/GRID), the U.S. Agency for International Development (USAID), the Instituto Nacional de Estadistica Geografica e Informatica (INEGI) of Mexico, the Geographical Survey Institute (GSI) of Japan, Manaaki Whenua Landcare Research of New Zealand, and the Scientific Committee on Antarctic Research (SCAR).Larger Works:

This layer package was loaded using Data Basin.Click here to go to the detail page for this layer package in Data Basin, where you can find out more information, such as full metadata, or use it to create a live web map.

The datasets that are included in the composite layer making up the protected area layer are given below: DatasetExample DesignationsCitation or hyperlinkPAD-US (CBI Edition)National Parks, GAP Status 1 and 2, State Parks, Open Spaces, Natural Areas“PAD-US (CBI Edition) Version 2.1b, California”. Conservation Biology Institute. 2016. https://databasin.org/datasets/64538491f43e42ba83e26b849f2cad28.Conservation EasementsCalifornia Conservation Easement Database (CCED), 2022a. 2022. www.CALands.org. Accessed December 2022. Inventoried Roadless Areas“Inventoried Roadless Areas.” US Forest Service. Dec 12, 2022. https://www.fs.usda.gov/detail/roadless/2001roadlessrule/maps/?cid=stelprdb5382437BLM National Landscape Conservation SystemWilderness Areas, Wilderness Study Areas, National Monuments, National Conservation Lands, Conservation Lands of the California Desert, Scenic Rivershttps://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-ca-wilderness-areashttps://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-ca-wilderness-study-areashttps://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-ca-national-monuments-nca-forest-reserves-other-poly/Greater Sage Grouse Habitat Conservation Areas (BLM)For solar technology: BLM_Managm IN (‘PHMA’, ‘GHMA’, ‘OHMA’)For wind technology: BLMP_Managm = ‘PHMA’“Nevada and Northeastern California Greater Sage-Grouse Approved Resource Management Plan Amendment.” US Department of the Interior Bureau of Land Management Nevada State Office. 2015. https://eplanning.blm.gov/public_projects/lup/103343/143707/176908/NVCA_Approved_RMP_Amendment.pdf Other BLM Protected AreasAreas of Critical Environmental Concern (ACECs), Recreation Areas (SRMA, ERMA, OHV Designated Areas), including Vinagre Wash Special Recreation Management Area, National Scenic Areas, including Alabama Hills National Scenic Areahttps://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-ca-off-highway-vehicle-designations

HydroSHEDS (Hydrological data and maps based on SHuttle Elevation Derivatives at multiple Scales) provides hydrographic information in a consistent and comprehensive format for regional and global-scale applications. HydroSHEDS offers a suite of geo-referenced data sets (vector and raster), including stream networks, watershed boundaries, drainage directions, and ancillary data layers such as flow accumulations, distances, and river topology information. HydroSHEDS is derived from elevation data of the Shuttle Radar Topography Mission (SRTM) at 3 arc-second resolution. Available HydroSHEDS resolutions range from 3 arc-second (approx. 90 meters at the equator) to 5 minute (approx. 10 km at the equator) with seamless near-global extent.

Citation:Title: HydroSHEDS (RIV) - River network (stream lines) at 15s resolution - AfricaCredits: World Wildlife Fund (WWF)Publication Date: 2006Publisher: U.S. Geological SurveyOnline Linkages: http://hydrosheds.cr.usgs.govhttp://www.worldwildlife.org/hydroshedsOther Citation Info: Please cite HydroSHEDS as: Lehner, B., Verdin, K., Jarvis, A. (2006): HydroSHEDS Technical Documentation. World Wildlife Fund US, Washington, DC. Available at http://hydrosheds.cr.usgs.gov.

This layer package was loaded using Data Basin.Click here to go to the detail page for this layer package in Data Basin, where you can find out more information, such as full metadata, or use it to create a live web map.

These ESRI shape files are of National Park Service tract and boundary data that was created by the Land Resources Division. Tracts are numbered and created by the regional cartographic staff at the Land Resources Program Centers and are associated to the Land Status Maps. This data should be used to display properties that NPS owns and properties that NPS may have some type of interest such as scenic easements or right of ways.

These data present a ground-water inventory of existing geospatial data and other information needed to determine the extent and characteristics of the aquifers in the Tahoe Basin. Geospatial and other data include geologic maps and soil surveys of the entire basin and for specific watersheds within the basin at the best available scales; vegetation remote-sensing datasets; well information from various local, state, and federal agencies; geophysical surveys; and results of available ground-water studies. The compilation and development of a ground-water inventory geospatial database will assist the United States Forest Service in better assessing the present and future impacts on ground-water resources within the Lake Tahoe Basin.

These grid files were used to produce gravity and basin depth maps of the Basin and Range Province, western United States. The maps show gravity values and modeled basin depths in this area. The data were compiled by the U.S. Geological Survey, Denver, Colorado. This data base was received in June, 1995. For further information see the readme.txt file in this directory(data\grids\basinrng), and the "Gravity and Basin-Depth Maps of the Basin and Range Province, Western United States", by R.W. Saltus and R.C. Jachens, Map GP-1012.

The current global dataset of drainage system shapes has a relatively low spatial resolution. We obtained a new dataset (Basin90m) by calculating the drainage basins larger than 50 km2 globally using a 90-meter resolution Digital Elevation Model (DEM). The total number of drainage basins is 667629. For each drainage basin, we extracted the spatial distribution of the longest river channel and the sinuosity of the river. We computed fundamental geometric parameters for the drainage basins, such as area, length, width, aspect ratio, slope, and elevation. Basin90m consists of vector files (ESRI Shapefile format) containing global drainage basins and river channels. The file sizes for the basin and river data are 7.8 and 2.5 GB, respectively. All calculations were automated using a MATLAB script. For a more detailed description of Basin90m, please refer to our submitted data description article titled "A global dataset of the shape of drainage systems".

The Basin90m dataset includes data in four sections. The first section comprises drainage basins globally with an area larger than 50 km². The data format is ESRI Shapefile. Eight morphometric indi-ces of the drainage system are stored in the attribute table of the basin shapefile. The "Basins" folder contains six subfolders, each representing a continent. Each continent's subfolder contains all the basins in that continent, categorized by different stream orders. For instance, the "South America" subfolder contains nine shapefile files corresponding to stream orders 1-9. The names of the shapefile files include their continent and stream order information. For example, "South_America_Basin_8.shp" represents all basins in South America with a stream order of 8. The second part of the Basin90m data consists of global main river channels. The longest river channel of each basin is stored in a folder named "Rivers". The internal structure of this folder is the same as the "Basins" folder. For instance, "South_America_River_8.shp" represents the main river channels in South America with a stream order of 8. The third part of Basin90m data is an Excel file named "Basin90m". This file contains eight morphometric parameters for all the basins. It includes both a globally merged sheet and sheets distinguishing different stream orders. The fourth part of Ba-sin90m data is a folder named "Matlab_code", which contains Matlab code for the automated ex-traction of drainage systems and their morphometric parameters.

Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

Dataset of raw receiver functions and synthetic receiver functions for the robustness test of submitted paper "Fine Shallow Structures of Binchuan Basin Inverted from Receiver Functions and Implications for Basin Evolution". The data format is "Seismic Analysis Code (SAC)" format.

HydroSource: A Platform for US Hydropower Data for Basin-Scale Applications presents a high-level overview of ORNL’s HydroSource data products that can be used in various basin-scale applications across the United States to realistically conceptualize and quantitatively analyze the complex dynamics, effects, and implications of energy-water systems. This product is an ArcGIS Story Map that contains an array of interactive and static maps.

The Georgina Basin Geoscience Data Package is a geospatial data compilation for the Georgina Basin, with a focus on the southern part of the basin. The data set includes three components: an ARC-GIS package (that includes geochemistry, biostratigraphy, formation top picks, hydrocarbon shows, XRD data, ICPMS data, SEM-EDX data, geomechanics data, well header information, Geoscience Australia maps, map products and geophysics), a seismic data compilation (incorporating existing publicly-available seismic data from the southern Georgina Basin, and a well folio (summarising in graphic form the key stratigraphic, geochemical, biostratigraphic, hydrocarbon shows, wireline log, porosity, permeability and HyLogger data for 29 wells in the southern Georgina Basin). The data package has been put together to assist explorers in understanding the conventional and unconventional hydrocarbon potential of the Georgina Basin.

Project Goals: To identify regions of recently evolved endemic (neo-endemism) mammal species in California and thereby infer areas of rapid evolutionary diversification, which may help guide conservation prioritization and future planning for protected areas. Four species-based GIS rasters were produced of mammalian endemism (see reference for details). This is: Neo-endemism or Richness of species distribution models weighted by inverse range size and inverse genetic distance to closest sister species The high rate of anthropogenic impact on natural systems mandates protection of the evolutionary processes that generate and sustain biological diversity. Environmental drivers of diversification include spatial heterogeneity of abiotic and biotic agents of divergent selection, features that suppress gene flow, and climatic or geological processes that open new niche space. To explore how well such proxies perform as surrogates for conservation planning, we need first to map areas with rapid diversification — ‘evolutionary hotspots’. Here we combine estimates of range size and divergence time to map spatial patterns of neo-endemism for mammals of California, a global biodiversity hotspot. Neo-endemism is explored at two scales: (i) endemic species, weighted by the inverse of range size and mtDNA sequence divergence from sisters; and (ii) as a surrogate for spatial patterns of phenotypic divergence, endemic subspecies, again using inverse-weighting of range size. The species-level analysis revealed foci of narrowly endemic, young taxa in the central Sierra Nevada, northern and central coast, and Tehachapi and Peninsular Ranges. The subspecies endemism-richness analysis supported the last four areas as hotspots for diversification, but also highlighted additional coastal areas (Monterey to north of San Francisco Bay) and the Inyo Valley to the east. We suggest these hotspots reflect the major processes shaping mammal neo-endemism: steep environmental gradients, biotic admixture areas, and areas with recent geological/climate change. Anthropogenic changes to both environment and land use will have direct impacts on regions of rapid divergence. However, despite widespread changes to land cover in California, the majority of the hotspots identified here occur in areas with relatively intact ecological landscapes. The geographical scope of conserving evolutionary process is beyond the scale of any single agency or nongovernmental organization. Choosing which land to closely protect and/or purchase will always require close coordination between agencies. Citation:DAVIS, E.B., KOO, M.S., CONROY, C., PATTON, J.L. & MORITZ, C. (2008) The California Hotspots Project: identifying regions of rapid diversification of mammals. Molecular Ecology 17, 120-138. This dataset was reviewed in another manner. Spatial Resolution: 0.0083333338 DD This layer package was loaded using Data Basin.Click here to go to the detail page for this layer package in Data Basin, where you can find out more information, such as full metadata, or use it to create a live web map.

This data set represents the extent of the Basin and Range aquifers in the states of California, Utah, Arizona, and Nevada.

The datasets that are included in the composite layer making up the protected area layer are given below:

This data release contains information to support water quality modeling in the Delaware River Basin (DRB). These data support both process-based and machine learning approaches to water quality modeling, including the prediction of stream temperature. This section provides spatial data files that describe the rivers, reservoirs, and observational data in the Delaware River Basin included in this release. One shapefile of polylines describes the 459 river reaches that define the modeling network, and another shapefile of polygons includes the three reservoirs (Pepacton, Cannonsville, and Neversink) for which data are included in this release. Additionally, a point shapefile contains locations of monitoring sites along the reaches with supporting attributes that describe the monitoring _location.