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Indicative distribution map for Ecosystem Functional Group F1.6 Episodic arid rivers

This archive contains indicative distribution maps and profiles for F1.6 Episodic arid rivers, a ecosystem functional group (EFG, level 3) of the <a href="https://global-ecosystems.org/">IUCN Global Ecosystem Typology</a> (v2.0). Please refer to Keith et al. (2020) for details. The descriptive profiles provide brief summaries of key ecological traits and processes, maps are indicative of global distribution patterns, and are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Given bounds of resolution and accuracy of source data, the maps should be used to query which EFG are likely to occur within areas, rather than which occur at particular point locations. Detailed methods and references for the maps are included in the profile (xml format).

Indicative distribution map for Ecosystem Functional Group F1.7 Large lowland rivers

This archive contains indicative distribution maps and profiles for F1.7 Large lowland rivers, a ecosystem functional group (EFG, level 3) of the <a href="https://global-ecosystems.org/">IUCN Global Ecosystem Typology</a> (v2.0). Please refer to Keith et al. (2020) for details. The descriptive profiles provide brief summaries of key ecological traits and processes, maps are indicative of global distribution patterns, and are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Given bounds of resolution and accuracy of source data, the maps should be used to query which EFG are likely to occur within areas, rather than which occur at particular point locations. Detailed methods and references for the maps are included in the profile (xml format).

Indicative distribution map for Ecosystem Functional Group F1.5 Seasonal lowland rivers

This archive contains indicative distribution maps and profiles for F1.5 Seasonal lowland rivers, a ecosystem functional group (EFG, level 3) of the <a href="https://global-ecosystems.org/">IUCN Global Ecosystem Typology</a> (v2.0). Please refer to Keith et al. (2020) for details. The descriptive profiles provide brief summaries of key ecological traits and processes, maps are indicative of global distribution patterns, and are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Given bounds of resolution and accuracy of source data, the maps should be used to query which EFG are likely to occur within areas, rather than which occur at particular point locations. Detailed methods and references for the maps are included in the profile (xml format).

Indicative distribution map for Ecosystem Functional Group MFT1.1 Coastal river deltas

This archive contains indicative distribution maps and profiles for MFT1.1 Coastal river deltas, a ecosystem functional group (EFG, level 3) of the <a href="https://global-ecosystems.org/">IUCN Global Ecosystem Typology</a> (v2.0). Please refer to Keith et al. (2020) for details. The descriptive profiles provide brief summaries of key ecological traits and processes, maps are indicative of global distribution patterns, and are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Given bounds of resolution and accuracy of source data, the maps should be used to query which EFG are likely to occur within areas, rather than which occur at particular point locations. Detailed methods and references for the maps are included in the profile (xml format).

openbsd-3-clauseDec 2018View details →

Mask of large scale river catchments

The catchment mask provides information about the location of large scale river catchments on a global grid. Its purpose is the provision of a common reference for the computation of area averages, especially for the analysis of Earth System Model output.

opencc-by-4.0Dec 2018View details →

Surface water and flooding dynamics based on seasonally continuous Landsat data (1986-2011) in a dryland river basin (monthly, seasonally, and yearly animations)

The animations provided here are part of the following publication: Tulbure, M.G. and M. Broich (2018). Spatiotemporal patterns and effects of climate and land use on surface water extent dynamics in a dryland region with three decades of Landsat satellite data. Science of the Total Environment. https://www.sciencedirect.com/science/article/pii/S0048969718347466 Please refer to the above mentioned publication for a description of the data and interpretation of the patterns. The animations are based on statistically validated surface water and flooding extent dynamics data derived from seasonally continous Landsat TM/ETM+ and random forest models from 1986 to 2011 over Australia's Murray-Darling Basin. The overall accuracy was over 99% and producer's accuracy for water 87% +/- 3%.  The method is described in the following publication:  Tulbure, M.G., M. Broich, S.V. Stehman, A. Kommareddy. (2016). Surface water extent dynamics from three decades of seasonally continuous Landsat time series at subcontinental scale in a semi-arid region. Remote Sensing of Environment. 178: 142-157 and available here: https://www.sciencedirect.com/science/article/pii/S0034425716300621

opencc-by-4.0May 2018View details →

River Feshie, Scotland - Geomorphic Change Detection - Example Dataset

A simple<a href="https://gcd.riverscapes.net/Tutorials/example-data-sets.html"> Example GCD Dataset </a>illustrating topographic change detection from five years of repeat monitoring of the Feshie from 2003 to 2007. Used in Tutorials (e.g. <a href="https://gcd.riverscapes.net/Tutorials/ChangeDetection/GCDwithFIS.html">FIS Error Modelling</a>) and appears in: <ol> <li>Wheaton JM, Brasington J, Darby SE, Sear DA, Vericat D&Dagger;., and Kasprak A*. 2013. <a href="https://www.researchgate.net/publication/242653748_Morphodynamic_signatures_of_braiding_mechanisms_as_expressed_through_change_in_sediment_storage_in_a_gravel-bed_river">Morphodynamic signatures of braiding mechanisms as expressed through change in sediment storage in a gravel-bed river</a>. Journal of Geophysical Research - Earth Surface. DOI: <a href="http://dx.doi.org/10.1002/jgrf.20060">10.1002/jgrf.20060</a>.</li> <li>Wheaton JM, Brasington J, Darby SE, Merz JE, Pasternack GB, Sear DA and Vericat D&Dagger;. 2010. <a href="https://www.researchgate.net/publication/227526758_Linking_Geomorphic_changes_to_Salmonid_habitat_at_a_scale_relevant_to_fish">Linking Geomorphic Changes to Salmonid Habitat at a Scale Relevant to Fish. River Research and Applications</a>.26: 469-486. DOI: <a href="http://dx.doi.org/10.1002/rra.1305">10.1002/rra.1305</a>.</li> </ol> . Dataset is from: <ul> <li>700m braided gravel bed river in the  <a href="https://www.google.com/maps/place/57%C2%B000'41.4%22N+3%C2%B054'16.1%22W/@57.0099348,-3.9000104,6821m/data=!3m1!1e3!4m5!3m4!1s0x0:0x0!8m2!3d57.01149!4d-3.90446">Scottish Cairngorm mountains</a>.</li> <li>5 annual surveys</li> <li>Mix of RTKGPS and Total Station</li> <li>1m cell resolution</li> </ul> Dataset includes raw data to run exercises, as well as full *.gcd projects that can be opened.

opencc-by-4.0May 2023View details →

River Sediment Database (RivSed)

The River Sediment Database (RivSed) database contains surface suspended sediment concentrations (SSC) derived from Landsat 5, 7, and 8 Level 1 Collection 1 surface reflectance from all rivers in the contiguous USA that are ~60 meters wide or greater. SSC represent spatially integrated "reach" median concentrations over the footprint of NHDPlusV2 centerlines where high quality river water pixels were detected within each Landsat image from 1984-2018. This is built in the River Surface Reflectance database (RiverSR) also in Zenodo (Gardner et al,. 2020 Geophysical Research Letters).  The paper associated with RivSed: Gardner, J., Pavelsky, T. M., Topp, S., Yang, X., Ross, M. R., & Cohen, S. (2023). Human activities change suspended sediment concentration along rivers. Environmental Research Letters. <a href="https://iopscience.iop.org/article/10.1088/1748-9326/acd8d8">https://iopscience.iop.org/article/10.1088/1748-9326/acd8d8</a>     Files: 1) Metadata (riverSed_v1.0_metadata.pdf): Description of all data files associated with this repository.  2) RiverSed (RiverSed_USA_v1.1.txt). Table of  SSC  and associated data that is joinable to nhdplusv2_modified_v1.0.shp based on the "ID" column and to the original NHDplusV2 flowlines with the "COMID" column. 3) Shapefile of river centerlines to which the reflectance data can be attached (nhdplusv2_modified_v1.0.shp). 4) Shapefile of the reach polygons associated with each nhdplusv2_modified reach. (nhdplusv2_polygons_v1.0.shp). 5) The look up table for reach IDs of original (COMID) and modified (ID) NHDplusV2 centerlines. (COMID_ID.csv). Short reaches were joined together to optimize for remote sensing data collection and make more consistent reach lengths. 6) SSC-Landsat matchup database with extended metadata on locations and in-situ data derived from Aquasat (Ross et al., 2019) (Aquasat_TSS_v1.1.csv) 7) The final training data used to build the xgboost machine learning model (train_clean_xgb_v1.1.csv) 8) The xgboost model that can make SSC predictions over inland waters in USA using Landsat bands/band combinations (finalmodel_xgb_v1.1.rds and .RData). The model can only be loaded in R for now.

opencc-by-4.0Jun 2023View details →

Dataset for Hydropower Expansion in Eco-Sensitive River Basins under Global Energy-Economic Change

The data presented in this repository can be fed into the codes provided in <a href="https://github.com/kamal0013/chowdhury-etal_2023_hydropower">this GitHub repository</a> to reproduce the results of the following paper:   Chowdhury, A.F.M.K., Wild, T., Zhang, Y. et al. Hydropower expansion in eco-sensitive river basins under global energy-economic change. Nat Sustain 7, 213–222 (2024). <a href="https://doi.org/10.1038/s41893-023-01260-z">https://doi.org/10.1038/s41893-023-01260-z</a>   Summary In this study, we investigate how rapid economic growth and transition to low-carbon energy may impact hydropower development, with potential countervailing effects of increasingly cost-competitive variable renewable energy (VRE). We explore the effects of these forces on hydropower expansion in the world's 20 most eco-sensitive river basins, that have substantial untapped hydropower potential and ecological richness. Our investigation is based on the Global Change Analysis Model (GCAM), an integrated model of global energy-water-economy dynamics. The GCAM outputs and other data provided in this repository, in combination with the Jupyter Notebooks provided in <a href="https://github.com/kamal0013/chowdhury-etal_2023_hydropower">this GitHub repository</a>, can be used to conduct our key analysis, and reproduce the relevant results.

openCC (other)Sep 2025View details →

City of Seattle, Seattle Public Utilities, Annual Bull Trout Redd Surveys in Tributaries to Chester Morse Lake 1996-current, Cedar River Municipal Watershed, King County, WA

These data were collected during weekly annual redd surveys conducted by Seattle Public Utilities (SPU) in the Cedar River Municipal Watershed (CRMW), 1996 - current. Annual weekly bull trout redd surveys funded through the CRMW Habitat Conservation Plan (HCP) began in 2000 and ended in 2011 spawning year. To reinstate a monitoring program for the population, redd surveys in the most heavily used habitats by bull trout (termed the Core Zone), were opportunistically conducted in 2018. Weekly annual surveys in most of the Core Zone were reinstated in 2019. Approximately 77% of all redds observed 2000 - 2011 would have been observed during those years using the 2019 - 2022 spatial survey extent (SPU data on file). In 2023, the spatial and temporal coverage of surveys were on par with historical coverage, i.e., approximately 100% of all redds observed 2000 - 2011 would have been observed using the 2023 spatial survey extent. Information on redd location is used primarily to enable derivation of redd elevations. Redd elevation is required to estimate potential impacts to the spawning population and incubating embryos caused by reservoir inundation of stream spawning habitat after the spawning period during fall through spring. Redd weekly timing information is critical to accurately represent whether embryos remain in the gravel and are vulnerable to impacts of reservoir inundation as the reservoir is refilled starting in early spring. It is also vitally important that SPU understand timing and abundance of redds beyond the inundation zone to enable understanding of the overall impact to the population.

openCC (other)Oct 2021View details →

Environmental data from Neversink River, White Clay Creek, and Rio Tempisquito watersheds

This dataset presents dissolved stream water chemistry and other environmental variables collected from Neversink River in NY, USA, White Clay Creek in PA, USA, and Rio Tempisquito in Costa Rica.

openCC (other)Mar 2022View details →

Denitrification, nitrogen fixation, and physio-chemical data for Pilgrim River from May 2017 to May 2019

Rates of nutrient cycling processes, as well as the drivers and mechanisms of variation in those rates, may change at different time scales. Although seasonal patterns in these process rates have been studied, it's unclear how they may respond to shifting seasonal dynamics (i.e., earlier snowmelt and extreme weather events), and we know little about how rates may vary at shorter daily and weekly timescales. Understanding this variation across temporal scales is essential to understand how nutrient cycling processes operate in aquatic ecosystems and predict how they may respond to global change. This study quantified denitrification and nitrogen (N) fixation rates seasonally and daily in a northern temperate river, and explored how environmental conditions such as discharge, light, and nutrients were related to that variation at different time scales in the Pilgrim River, tributary of Lake Superior located in the Upper Peninsula of Michigan, USA. This dataset includes denitrification and nitrogen fixation rates measured from May 2017- May 2019 on rock and sediment substrates as well as physical and chemical properties of the river measured during each sampling event.

openCC (other)Jun 2024View details →

2021-2022 West False River Emergency Drought Barrier water quality, flow, and fish monitoring

To manage the critically low 2021 water supply for beneficial uses, DWR installed the temporary emergency drought barrier (EDB) on West False River in the Sacramento–San Joaquin Delta (Delta), approximately 5 miles south of Rio Vista, California, in Contra Costa County in June 2021. To monitor the effectiveness and impacts of the EBD, a monitoring program was initiated to track changes in hydrodynamics, water quality, fish, harmful algal blooms, and aquatic weeds in the vicinity of the EDB. The EDB was left in place during the winter of 2021-2022 and removed in fall of 2022. This data set includes all data collected as part of that monitoring program and subsets of ongoing monitoring programs that were used in the final effectiveness report for the EDB.

openCC (other)Aug 2022View details →

NEON rivers Level 0 multisonde temperature data - Jan 2019 to Jul 2022

The National Ecological Observatory Network (NEON; https://www.neonscience.org) collects water temperature measurements from its three river sites using thermistors measuring at various depths throughout the water column. This data is published as part of the water temperature at specific depth in surface water data product (DP1.20264.001). At various times, gaps may occur in this data. The multisonde used to measure water quality (DP1.20288.001) also collects water temperature measurements that can potentially be used to fill these gaps. This data is not published by NEON as part of the Level 1 water quality data product because it is not as accurate. The calibration of the multisonde temperature sensor is also factory set and cannot be adjusted. This data package contains the Level 0 multisonde water temperature data for NEON river sites from Jan 1 2019 to Jul 31 2022. This is raw data that has not been QA/QC'ed. NEON makes no guarantees about the accuracy of this data.

openCC (other)Apr 2023View details →

Interagency Ecological Program: Discrete water quality and phytoplankton data from the Sacramento River floodplain and Yolo Bypass tidal slough, collected by the Yolo Bypass Fish Monitoring Program, 1998 - 2022

The Yolo Bypass Fish Monitoring Program (YBFMP) operates a rotary screw trap and fyke trap and conducts biweekly beach seine and lower trophic surveys in addition to maintaining water quality instrumentation in the bypass. The YBFMP serves to fill information gaps regarding environmental conditions in the bypass that trigger migrations and enhanced survival and growth of native fishes, as well as provide data for IEP synthesis efforts. YBFMP staff also conduct analyses of YBFMP monitoring data to address pertinent management related questions as identified by IEP. The Yolo Bypass has been identified as a high restoration priority by the National Marine Fisheries Service and US Fish and Wildlife Service Biological Opinions for Delta Smelt, Winter and Spring-run Chinook salmon and by California EcoRestore. The YBFMP informs the restoration actions that are mandated or recommended in these plans and provides critical baseline data on the ecology of the bypass and how it interacts with the broader San Francisco Estuary. Program objectives include: Collecting baseline data on water quality, chlorophyll, lower trophic level biota, and fish in the Yolo Bypass to monitor spatial and temporal changes in trends and abundance; Analyzing and communicating Yolo Bypass data with stakeholders and the scientific and management communities to address pertinent management related questions; Providing technical expertise on Yolo Bypass aquatic ecology and monitoring and sampling methods. We collect discrete water quality data using a YSI ProDSS and sample phytoplankton, chlorophyll and nutrients as discrete water grabs taken biweekly (or weekly during Yolo Bypass inundation) along with lower trophic tows. Water is sampled at three sites along the Yolo Bypass and Sacramento River, then processed and analyzed by an internal DWR laboratory.

openCC (other)Jun 2023View details →

Sonde Data (2010-2014) from the Salmon Trout River in the Huron Mountains, Marquette Co., Michigan.

This dataset includes readings from a multi-parameter water quality sonde to continuously monitor chemical and biological conditions (water temperature, conductivity, dissolved oxygen, pH, turbidity) on the Salmon Trout River in Marquette, MI. This sensor was deployed May-Nov 2010, 2011, 2012, 2013 and 2014. This dataset includes cleaned raw data obtained with the sonde and may include time periods when readings were affected by sand accumulation/burial of the sensors.

openCC0Feb 2024View details →

Dreissenid mussel shell deposition, and benthic community data in the Rouge and Huron Rivers, Southeastern, MI., USA.

This data package was assembled and accompanies a project entitled "Investigating the effects of Dreissenid mussel shells in streams post-invasion," carried out in the Rouge and Huron Rivers in Southeastern, MI., USA in 2017. We assessed the impacts of Dreissenid shells on macroinvertebrates and fish communities. This package includes dreissenid shell density data, water quality data during macroinvertebrate sampling, macroinvertebrate data, water quality data during fish sampling in spring, fish data from spring, water quality data during fall sampling, and fish data from fall. All data tables feature rivers, identifiers, GPS coordinates, and sample dates.

openCC (other)Jan 2024View details →

USFWS Larval White Sturgeon Monitoring, San Joaquin River, 2013-2017

Overview The Central Valley Project Improvement Act (CVPIA) funds habitat improvement work and associated monitoring in the Central Valley of California to increase salmonid populations in furtherance of meeting CVPIA fish doubling goals. This data package contains three datasets for larval White Sturgeon (Acipenser transmontanus) monitoring in the San Joaquin River (SJR) conducted by the US Fish and Wildlife Service, Lodi Fish and Wildlife Office. SJR_Larval_WST_Set Data This dataset contains data on an experimental sampling program using boat-mounted drift nets (D-frame nets), a large drift net attached to a stationary pontoon (pontoon net), and otter trawls to catch larval White Sturgeon in the San Joaquin River. Sets were made at targeted locations from March-July in 2013, 2015, 2016, and 2017. A total of ten White Sturgeon were captured in 2016 and 11 in 2017, all with D-frame driftnets. SJR_Larval_WST_Catch Data This dataset contains data for individual fish caught in the San Joaquin River. Species and fork length were recorded for most individuals. SJR_Fish_Taxonomy Data This dataset contains data for fish codes used in the Catch datafile. For each species that was captured, the Species codes are listed with the corresponding Interagency Ecological Program code, common name, taxonomy (Phylum, Class, Order, Family, Genus, and Species), and whether or not the species is native to the region.

openCC (other)Jan 2024View details →

USFWS Juvenile White Sturgeon Monitoring, San Joaquin River, 2016-2017

Overview The Central Valley Project Improvement Act (CVPIA) funds habitat improvement work and associated monitoring in the Central Valley of California to increase salmonid populations in furtherance of meeting CVPIA fish doubling goals. This data package contains three datasets for juvenile White Sturgeon (Acipenser transmontanus) monitoring in the San Joaquin River (SJR) conducted by the US Fish and Wildlife Service, Lodi Fish and Wildlife Office. After two years of this experimental sampling program, it was discontinued due to low catches of White Sturgeon. SJR_Juvenile_WST_Set Data This dataset contains data on an experimental sampling program using trammel nets and setlines to catch juvenile White Sturgeon in the San Joaquin River. Sets were made at targeted locations from November-January in 2016 and 2017. One White Sturgeon (1000 mm fork length) was captured in a trammel net in 2016. SJR_Juvenile_WST_Catch Data This dataset contains data for individual fish caught in trammel nets or setlines in the San Joaquin River. Species and fork length were recorded for all fish. For White Sturgeon, girth, maturation, and tag information are provided. SJR_Fish_Taxonomy Data This dataset contains data for fish codes used in the Catch datafile. For each species that was captured, the Species codes are listed with the corresponding Interagency Ecological Program code, common name, taxonomy (Phylum, Class, Order, Family, Genus, and Species), and whether or not the species is native to the region.