After wildfires occurred in the western United States during 2020, in-stream water quality monitors and automatic samplers were deployed in four burned watersheds and one unburned watershed. In-stream water temperature, turbidity, and fluorescent dissolved organic matter (fDOM) were measured at high frequency, and the fDOM data were corrected for temperature and turbidity effects. Automatic samplers were triggered during storm events, which captured turbid conditions in the wildfire affected streams. Laboratory experiments with storm event samples informed site-specific turbidity correction coefficients for fDOM data. An iterative solver approach also was developed to verify turbidity correction coefficients. This data release contains laboratory experiment data, as well as in-stream water temperature, turbidity, uncorrected fDOM, temperature-corrected fDOM, and temperature- and turbidity-corrected fDOM data. An example of the iterative solver code is also provided.

In-stream habitat data include measurements of a variety of physical and aquatic stream attributes that collectively reveal a great deal about stream condition for salmonids and trout. Characterizing and inventorying the physical conditions that define stream habitat for salmonids is an important part of the habitat restoration process. The California Department of Fish and Wildlife (CDFW) collects data on a number of physical attributes of streams and classifies these streams by one of several habitat types. The in-stream habitat data collection process involves two distinct steps; identifying channel type and assigning a habitat type. These in-stream habitat data are used for a variety of purposes including analysis of stream suitability for supporting salmonid populations, as part of larger and more complex watershed assessments, and to establish baseline conditions against which future assessments can measure change. They are a critical part of determining restoration priorities and identifying salmonid refugia. The California Salmonid Stream Habitat Restoration Manual published by the CDFW, describes the process of using in-stream habitat data and other data and information for identifying streams with restoration potential and working through the stream restoration process.The objective of stream inventory reports are to document the current habitat conditions and recommend options for the potential enhancement of salmonid habitat. Recommendations for habitat improvement activities are based upon target habitat values suitable for salmonids in Californias streams.

This dataset contains measurements of pesticide concentrations in stream water samples collected at selected streams in Ontario.

The Ministry of the Environment, Conservation and Parks (MECP) and Ontario Ministry of Agriculture, Food and Rural Affairs (OMAFRA) jointly collaborate to monitor pesticides in selected tributaries in southern Ontario. There are currently 19 monitoring sites within watershed or predominately agricultural land. The data includes:

• Location of 21 stations (19 of which are currently active)
• Pesticide concentration levels

Keywords: pesticides, pollution

Event-Stream Dataset is a robotic grasping dataset with 91 objects.

Data associated with the paper

The potential role of biotic interactions in stream restoration. Bridget E. White Angus R. McIntosh Catherine M. Febria Helen J. Warburton. Restoration Ecology. https://doi.org/10.1111/rec.13396

[BioHeritage P3.4]

CDFW BIOS GIS Dataset, Contact: Sharon Powers, Description: In-stream habitat data include measurements of a variety of physical and aquatic stream attributes that collectively reveal a great deal about stream condition for salmonids and trout.

Abstract

The dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.

HUN AWRA-L Stream Network v01 depicts the 'blue line' drainage network used in the river model AWRA-R. It includes information on stream length for each subcatchment defined in the river model node-link network.

Purpose

AWRA-R requires stream length of each stream within a subcatchment in AWRA-R in order to estimate model parameters related to in-stream losses and routing.

Dataset History

HUN AWRA-L Stream Network v01 is created from a river map of NSW (described in the lineage) which is overlain and clipped by a subcatchment map, which in turn is defined by a subset of streamflow gauges. Only the river network between upstream and downstream gauges (may have multiple upstream gauges) are considered, the rest are manually selected and removed.

Dataset Citation

Bioregional Assessment Programme (XXXX) HUN AWRA-L Stream Network v01. Bioregional Assessment Derived Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/ec50a7fd-0bda-4a82-9de7-3fa2a9065bdb.

Dataset Ancestors

• Derived From SYD ALL Raw Stream Gauge Data BoM v01

• Derived From River Styles Spatial Layer for New South Wales

• Derived From Hunter Surface Water data v2 20140724

• Derived From Selected streamflow gauges within and near the Hunter subregion

• Derived From SYD ALL Unified Stream Gauge Data v01

• Derived From HUN DEM derived catchment boundaries v01

• Derived From Hunter Surface Water data extracted 20140718

• Derived From GEODATA 9 second DEM and D8: Digital Elevation Model Version 3 and Flow Direction Grid 2008

• Derived From SSB Hydstra gauges v01

This Data Set is hosted by the Luquillo LTER Program (LUQ) and owned by a LUQ's investigator. Our primary objective is to understand the linkage between surface-subsurface water interactions and ecosystem processes in neotropical lowland streams over an extended time frame (>25 yrs). Proposed research will occur at La Selva Biological Reserve in Costa Rica, which is owned and operated by the Organization for Tropical Studies In tectonically active regions of Central America, it is common for solute-rich groundwater to emerge at gradient breaks within the complex volcanic topography of mountains and foothills which intergrade with the coastal plain. These groundwaters can significantly influence solute chemistry and related ecological and ecosystem-level processes in receiving surface waters. Many solute-rich groundwaters are associated with underlying volcanic activity which has altered the chemistry of receiving streams throughout Central America. Geothermally-modified groundwaters, surfacing at the gradient break between the Central Mountain range and the coastal plain at La Selva Biological Station, have high levels of P (up to 400 mg SRP L-1) and other solutes (Ca, Cl, Mg, SO4) but are not elevated in temperature. Spatial patterns in stream solute chemistry are determined by geomorphic features of the volcanic landscape that include: upland lavas drained by P-poor streams; a gradient break (~50 m.a.s.l.), at or near where P-rich springs emerge; and lowland alluvial areas drained by streams that are both P-rich and P-poor depending on whether they receive the input of solute-rich springs. Our project is the first to determine long-term effects of nutrient enrichment in a detrital-based stream within the wet tropics. We will continue to build upon our long-term(1988-present) data set on stream solute chemistry, which is the only one that we are aware of for lowland primary rainforest of Central America. The proposed project will build on 18 years of past research which has shown that landscape patterns in stream solute chemistry (resulting from variation in solute-rich groundwater inputs) reflect ecosystem processes such as rates of primary production and decomposition of organic material. Specifically, we are: (1) continuing our evaluation of long-term trends in the solute chemistry of these lowland tropical streams as related to large scale climatic phenomena (e.g., El Nino Southern Oscillation Events); (2) examining how stream segments draining three major geomorphic subfeatures of the lowland tropical landscape respond to temporal (wet versus dry season) changes in precipitation; (3) examining stoichiometric mechanisms behind elevated levels of insect growth and biomass turnover rates in phosphorus-rich streams; and finally (4) concluding (and build upon) an ongoing long-term whole-stream phosphorus enrichment by determining the storage, fate and transport of the artificially-introduced phosphorus (that has been injected over an 8 year period) and examining related effects on detrital foodwebs. Stream solute chemistry and ecosystem process-oriented data are of fundamental importance to our understanding and management of tropical forests and in predicting effects of regional (and potentially global) environmental change on these threatened ecosystems. Our long-term program will provide new insights into how large scale climatic phenomena interact with subsurface hydrologic factors and geothermal activity to influence stream solute chemistry and related ecosystem processes. We will continue to link the data sets generated from our LTREB Project to those from other long term sites for both tropical (e.g., Luquillo LTER site in Puerto Rico) and temperate research (Coweeta LTER site in North Carolina USA). Finally, the project will contribute to our ongoing environmental outreach program Water for Life, which includes local outreach in communities near La Selva Biological Station and an internationally accessible web page equipped with teaching tools on river conservation and water quality and quantity issues at the high school- level in both Spanish and English.

    Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support was provided by the USDA Forest Service International Institute of Tropical Forestry and the University of Puerto Rico.

The Daily Stream Flow Amounts Data Set contains daily measurements of stream flow for the four LTER stations and for the USGS stream-flow station located on tributaries to Kings Creek. This data set contains measurements from April 1979 to September 1988 for the USGS station, and from June 1985 to December 1987 for the 4 LTER stations. Five stream-flow gauges were placed across creeks in the Long-Term Ecological Research (LTER) section of the FIFE study area. Four of these five stations were maintained and monitored by the LTER staff while the fifth was part of the USGS network of stream flow gauges. The V-throated flume and standpipes used at the LTER weirs operated on the principle that the height of the water level in a standpipe at a specific location within a weir of known dimensions can be converted to volume of water in the stream. The change of this instantaneous volume with time could then be used to compute volumetric stream flow. The stilling pipe installation at the USGS stations operates on the principle that the height of the water level in a standpipe at a specific location within a streambed can be converted to volume of water in the stream. The tracking of the change in stream height with time then enables the calculation of stream flow.

description: The shapefile is based on habitat unit level data summarized at the stream reach level. The database represents salmonid stream habitat surveys from 645 streams of the California North Coast Hydrologic Region (Calwater 2.2.1) from 1989 to 2003 with most effort in 1995 and 1996. Approximately 1,622 miles of streams were surveyed. The data were collected by Department of Fish and Game and contractors according to the version of the "California Stream Habitat Restoration Manual" that was current in the year of survey (see References). The methods used in the 1991 edition were used until the 1994 edition was released. Two important differences are that the 1994 version incorporated a revised stream channel classification system, affecting the way stream reaches are described and a protocol for large woody debris was added. The third edition (Flosi et al. 1998) is available on-line. Habitat typing follows a modified version of the system described in Bisson et al, 1982. Stream channel typing follows Rosgen 1994, beginning with the 1995 field season. The database helps identify and describe in-stream habitat available to anadromous salmonids within watersheds surveyed. WHAT EACH RECORD REPRESENTS Each record represents in-stream habitat unit attributes summarized at the stream reach level. A habitat unit is the base level for the stream habitat surveys and is generally determined by the occurrence of riffle, run and pool sections along the stream. Stream reaches are determined by changes in stream channel type as described by Rosgen (1994); abstract: The shapefile is based on habitat unit level data summarized at the stream reach level. The database represents salmonid stream habitat surveys from 645 streams of the California North Coast Hydrologic Region (Calwater 2.2.1) from 1989 to 2003 with most effort in 1995 and 1996. Approximately 1,622 miles of streams were surveyed. The data were collected by Department of Fish and Game and contractors according to the version of the "California Stream Habitat Restoration Manual" that was current in the year of survey (see References). The methods used in the 1991 edition were used until the 1994 edition was released. Two important differences are that the 1994 version incorporated a revised stream channel classification system, affecting the way stream reaches are described and a protocol for large woody debris was added. The third edition (Flosi et al. 1998) is available on-line. Habitat typing follows a modified version of the system described in Bisson et al, 1982. Stream channel typing follows Rosgen 1994, beginning with the 1995 field season. The database helps identify and describe in-stream habitat available to anadromous salmonids within watersheds surveyed. WHAT EACH RECORD REPRESENTS Each record represents in-stream habitat unit attributes summarized at the stream reach level. A habitat unit is the base level for the stream habitat surveys and is generally determined by the occurrence of riffle, run and pool sections along the stream. Stream reaches are determined by changes in stream channel type as described by Rosgen (1994)

The Daily Stream Flow Amounts Data Set contains daily measurements of stream flow for the four LTER stations and for the USGS stream-flow station located on tributaries to Kings Creek. This data set contains measurements from April 1979 to September 1988 for the USGS station, and from June 1985 to December 1987 for the 4 LTER stations. Five stream-flow gauges were placed across creeks in the Long-Term Ecological Research (LTER) section of the FIFE study area. Four of these five stations were maintained and monitored by the LTER staff while the fifth was part of the USGS network of stream flow gauges. The V-throated flume and standpipes used at the LTER weirs operated on the principle that the height of the water level in a standpipe at a specific location within a weir of known dimensions can be converted to volume of water in the stream. The change of this instantaneous volume with time could then be used to compute volumetric stream flow. The stilling pipe installation at the USGS stations operates on the principle that the height of the water level in a standpipe at a specific location within a streambed can be converted to volume of water in the stream. The tracking of the change in stream height with time then enables the calculation of stream flow.

Stream network data originated from USGS National Hydrologic Database (NHD). While the NHD is a very useful and spatially accurate dataset, it is missing one attribute that is commonly referenced as a method to classify and stratify streams, the Strahler Stream Order. Stream order information was available on the Surface Waters Information Management System (SWIMS), digitized from 1:100,000 scale maps. ArcGIS was used to convert the SWIMS vectors to points, spaced at 100 meter intervals, and then to calculate the distance to nearest point (NHD stream to SWIMS points). For each arc segment, the attributes of the nearest point were then appended to the attribute table. While this process successfully added the stream order to the NHD arcs, there were some errors. There were instances of the nearest point to a segment actually belonging to a tributary, and being incorrectly assigned to the wrong stream segment. Also, since the NHD data is much more detailed in its inclusion of smaller streams, the origin for the calculation of 1st order and 2nd order streams is different. Efforts were made to address and correct both of these issues, but users should recognize that not all errors were corrected.The stream network was manually scanned for inconsistencies in stream order flow (jumping from a 3rd order to 1st order, and then back to a 3rd order) and corrected. Emphasis was placed on correcting the larger (3rd order and greater) steams first, and many (but not all) of the 1st and 2nd order. Instances of stream beginnings being mislabeled as an order greater than 1st order were corrected by searching for all dangling arcs (stream beginnings) and then recoding them to a order of 1. This process corrected 1,199 arcs that had been incorrectly coded. One last issue users should be aware of is that since the NHD includes streams not used in calculating the Strahler order in the SWIMS dataset, there are inconsistencies in the labeling of 1st and 2nd order streams. Some corrections were made where obvious lager gaps were in the SWIMS database, but for the most part the original SWIMS stream order was transferred directly. Where adjustments were made, they were only made to lower (less then 4th order) streams.Last Updated October 2013.

Workflow: Stream_LN AF, MM, FP process groups intersected with harvest from activitiesMetadata Tom Heutte 20230202Corporate feature class metadata followsThe streams dataset provides channel type classification and stream-class information for forest resource planners, fisheries biologists, hydrologists, and ecologists. Channel types provide information on fish habitat utilization, fish habitat capability, and fisheries enhancement options. They also provide information on suitable stream crossing locations and design criteria for road drainage structures and are useful to evaluate potential sediment delivery and retention for cumulative watershed effects analysis. This particular version of the dataset was developed to submit to the National Hydrography Dataset (NHD). Specifically, stream arcs were extended to the low tide shoreline to ensure inclusion of thousands of feet of the most productive intertidal stream habitats for salmon. Without extending the stream arcs, all or nearly all of the "estuarine" streams channel types would be dropped from the USDA-FS WATER Module under development.This dataset depicts the linear water features within HU8s from the Watershed Boundary Dataset that intersect US Forest Service Region 10 administered lands. The layer also provides channel type information, stream class information and classifications particular to the State Anadromous Waters Catalog. Note - the Name attribute denotes local or tranditional names not recognized by GNIS.

These datasets provide inputs used in Aquatic Trophic Productivity (ATP) model runs described in the accompanying journal article. This dataset is associated with the following publication: Roon, D., J. Bellmore, J. Benjamin, F. Robinne, R. Flitcroft, J. Compton, J. Ebersole, J.B. Dunham, and K. Bladon. Linking fire, food webs, and fish in stream ecosystems. ECOSYSTEMS. Springer, New York, NY, USA, 28(1): s10021-024-00955-4, (2025).

The Stream Habitat - San Francisco Bay, Central and South Coasts [ds159] shapefile contains four years of in-stream salmonid habitat data at the reach level. The data have been summarized from habitat unit level data collected by DFG from July 1993 into September of 1997. The database represents salmonid stream habitat surveys from 57 streams. Approximately 216 miles of streams were surveyed. The database helps identify and describe in-stream habitat available to anadromous salmonids within watersheds of the California San Francisco Bay, Central and South Coast Hydrologic Regions. Data were collected using standardized survey techniques according to the version of the "California Stream Habitat Restoration Manual" (see Flosi et al.) that was current in the year of survey. Field survey teams measured up to 60 parameters for selected habitat units. Stream surveys typically started at the downstream confluence and proceeded upstream to the "limit of anadromy" as assessed by the survey crew. WHAT EACH RECORD REPRESENTS Each of the 100 records in this dataset represents in-stream habitat unit level data summarized at the stream reach level. A habitat unit is the base level for the stream habitat surveys and is generally determined by the occurrence of riffle, run and pool sections along the stream. Stream reaches are determined by changes in stream channel type as described by Rosgen (1994).

Analysis of ‘Stream Inventory Reports by Watershed, CDFW [ds937]’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/8a532d0d-e50e-40e5-b70a-b9bf77a7b8df on 27 January 2022.

--- Dataset description provided by original source is as follows ---

In-stream habitat data include measurements of a variety of physical and aquatic stream attributes that collectively reveal a great deal about stream condition for salmonids and trout. Characterizing and inventorying the physical conditions that define stream habitat for salmonids is an important part of the habitat restoration process. The California Department of Fish and Wildlife (CDFW) collects data on a number of physical attributes of streams and classifies these streams by one of several habitat types. The in-stream habitat data collection process involves two distinct steps; identifying channel type and assigning a habitat type. These in-stream habitat data are used for a variety of purposes including analysis of stream suitability for supporting salmonid populations, as part of larger and more complex watershed assessments, and to establish baseline conditions against which future assessments can measure change. They are a critical part of determining restoration priorities and identifying salmonid refugia. The California Salmonid Stream Habitat Restoration Manual published by the CDFW, describes the process of using in-stream habitat data and other data and information for identifying streams with restoration potential and working through the stream restoration process.The objective of stream inventory reports are to document the current habitat conditions and recommend options for the potential enhancement of salmonid habitat. Recommendations for habitat improvement activities are based upon target habitat values suitable for salmonids in Californias streams.

--- Original source retains full ownership of the source dataset ---

This dataset tracks annual distribution of students across grade levels in Stream Charter School District and average distribution per school district in California

Stream segments with Strahler stream order values assigned. For more information about Strahler stream order, see: http://en.wikipedia.org/wiki/Strahler_Stream_Order

Stream order was assigned using an automated process. Data has not been verified and is subject to change. Be sure to check the values before using the layer.

Stream order values are maintained as tabular data and displayed as linear events on the Stream Routes with Kittle Numbers and Mile Measures layer. In the attribute table, designated segments extend from the FROM_MEAS (mile) to the TO_MEAS (mile) and have a total length = [LENGTH_MI] on a route with total length = [ROUTE_MI].

Aquatic ecological surveys are valuable to understanding the interaction between the biotic and abiotic components in rivers and streams. However, large-scale assessments of the water chemistry, geomorphology, and ecological community are usually not feasible due to limited resources. Beginning in 2013, the Regional Stream Quality Assessment Project of the US Geological Survey’s National Water Quality Program, began sampling 89-120 streams in each of 5 regions across the conterminous United States—the Midwest (2013), Southeast (2014), Pacific Northwest (2015), Northeast (2016), and California (2017). Sampling included water and streambed sediment chemistry, stage and temperature (Journey and others, 2015). The abiotic data is available from the National Water Information System (nwis.waterdata.usgs.gov). Geospatial data for the Southeastern U.S. study sites are available from Qi and others (2017). Ecological data collected included benthic algae, macroinvertebrates, and fish communities, in addition to in-stream habitat and geomorphology measurements for each reach. Ecological and habitat data for the Southeastern United States are summarized in this data release.

This data set contains vector lines representing inland linear hydrography features used in the creation of the Environmental Sensitivity Index (ESI) for Western Alaska. The STREAMS data set comprises a portion of the ESI for Western Alaska. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three mai...