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These data are the river basin shapefile components of a curated set of historical daily rainfall and streamflow data for a large region spanning the southern Amazonian rainforest and tropical savanna biomes of Brazil.

Basin attributes include: a site ID ("site"); the basin area in square km ("area"); the fraction of the basin area impacted by (draining to) a large (>30MW) reservoir ("resvr"); and a numeric indicator for basins located within the same basin network, i.e. nested basins ("group"). None of these basins have reservoir facilities located at their outlets as of 2013, although they may have reservoirs upstream - as indicated by the basin "resvr" attribute. Basin and reservoir drainage area boundaries were derived from free, publicly-available geographic information systems (GIS) data obtained from the Brazilian water management and electricity regulatory agencies: Agência Nacional de Águas (ANA) and Agência Nacional de Energia Elétrica (ANEEL), respectively.

For each unique basin, there exists a corresponding flow gauge location record (see "Flow gauge locations for the Brazilian rainforest-savanna transition zone") and a flow time series record for discharge at the basin outlet (see "Flow gauge data for the Brazilian rainforest-savanna transition zone"); these are identified by the same site ID numbers.

Additional data package information and contents, including raw data files, documentation of data acquisition and processing, and related programmatic scripts, are available via Figshare: https://doi.org/10.6084/m9.figshare.3100912.v1

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The primary goal of MOPEX is to develop techniques for the a priori estimation of the parameters used in land surface parameterization schemes of atmospheric models and in hydrological models. A major early effort of MOPEX has been to assemble a large number of high quality historical hydrometeorlogical and river basin characteristic data sets for a wide range of river basins throughout the world. This resource provides the basin boundary.

ABSTRACT:

These data are the flow gauge location components of a curated set of historical daily rainfall and streamflow data for a large region spanning the southern Amazonian rainforest and tropical savanna biomes of Brazil.

Flow gauge location attributes include: a site ID ("site"); the state within which the flow gauge is located ("state"); and the elevation in m above sea level ("elevation"). Flow gauge locations were obtained from free, publicly-available historical records from the Brazilian water management agency: Agência Nacional de Águas (ANA). Elevation data was obtained from SRTM 90m Digital Elevation Database v4.1.

For each unique site, there exists a corresponding time series record (see "Flow gauge data for the Brazilian rainforest-savanna transition zone") as well as a drainage basin or catchment boundary (see "Flow basins for the Brazilian rainforest-savanna transition zone"); these are identified by the same site ID numbers.

Additional data package information and contents, including raw data files, documentation of data acquisition and processing, and related programmatic scripts, are available via Figshare: https://doi.org/10.6084/m9.figshare.3100912.v1

ABSTRACT:

These data are the rain gauge location components of a curated set of historical daily rainfall and streamflow data for a large region spanning the southern Amazonian rainforest and tropical savanna biomes of Brazil.

Rain gauge location attributes include: a site ID ("site"); the state within which the rain gauge is located ("state"); and the elevation in m above sea level ("elevation"). Rainfall gauge locations were obtained from free, publicly-available historical records from the Brazilian water management agency: Agência Nacional de Águas (ANA). Elevation data was obtained from SRTM 90m Digital Elevation Database v4.1.

For each unique site, there exists a corresponding time series record (see "Rain gauge data for the Brazilian rainforest-savanna transition zone"); these are identified by the same site ID numbers.

Additional data package information and contents, including raw data files, documentation of data acquisition and processing, and related programmatic scripts, are available via Figshare: https://doi.org/10.6084/m9.figshare.3100912.v1

ABSTRACT:

The primary goal of MOPEX is to develop techniques for the a priori estimation of the parameters used in land surface parameterization schemes of atmospheric models and in hydrological models. A major early effort of MOPEX has been to assemble a large number of high quality historical hydrometeorlogical and river basin characteristic data sets for a wide range of river basins throughout the world. This resource provides the basin boundary.

ABSTRACT:

The primary goal of MOPEX is to develop techniques for the a priori estimation of the parameters used in land surface parameterization schemes of atmospheric models and in hydrological models. A major early effort of MOPEX has been to assemble a large number of high quality historical hydrometeorlogical and river basin characteristic data sets for a wide range of river basins throughout the world. This resource provides the basin boundary.

ABSTRACT:

The primary goal of MOPEX is to develop techniques for the a priori estimation of the parameters used in land surface parameterization schemes of atmospheric models and in hydrological models. A major early effort of MOPEX has been to assemble a large number of high quality historical hydrometeorlogical and river basin characteristic data sets for a wide range of river basins throughout the world. This resource provides the basin boundary.

ABSTRACT:

The primary goal of MOPEX is to develop techniques for the a priori estimation of the parameters used in land surface parameterization schemes of atmospheric models and in hydrological models. A major early effort of MOPEX has been to assemble a large number of high quality historical hydrometeorlogical and river basin characteristic data sets for a wide range of river basins throughout the world. This resource provides the basin boundary.

ABSTRACT:

These data are the flow gauge time series components of a curated set of historical daily rainfall and streamflow data for a large region spanning the southern Amazonian rainforest and tropical savanna biomes of Brazil.

Data (columns) include: the year, month, and day ("year", "month", "day") of observations; the daily mean volumetric flow rate in cubic m/second ("value"); a site ID ("site"); and the state within which the flow gauge is located ("state"). Missing values are set to -9999. For each unique site, there exists a corresponding flow gauge location record (see "Flow gauge locations for the Brazilian rainforest-savanna transition zone") as well as a drainage basin or catchment boundary (see "Flow basins for the Brazilian rainforest-savanna transition zone"); these are identified by the same site ID numbers.

Flow data were obtained from free, publicly-available historical records from the Brazilian water management agency: Agência Nacional de Águas (ANA).

Additional data package information and contents, including raw data files, documentation of data acquisition and processing, and related programmatic scripts, are available via Figshare: https://doi.org/10.6084/m9.figshare.3100912.v1

ABSTRACT:

These data are the rain gauge time series components of a curated set of historical daily rainfall and streamflow data for a large region spanning the southern Amazonian rainforest and tropical savanna biomes of Brazil.

Data (columns) include: the year, month, and day ("year", "month", "day") of observations; the depth of daily rainfall in mm/day ("value"); a site ID ("site"); and the state within which the rain gauge is located ("state"). Missing values are set to -9999. For each unique site, there exists a corresponding rain gauge location record (see "Rain Gauge Locations for the Brazilian Rainforest-Savanna Transition Zone"); these are identified by the same site ID numbers. Date ranges are different for each site.

Rainfall data were obtained from free, publicly-available historical records from the Brazilian water management agency: Agência Nacional de Águas (ANA).

Additional data package information and contents, including raw data files, documentation of data acquisition and processing, and related programmatic scripts, are available via Figshare: https://doi.org/10.6084/m9.figshare.3100912.v1

ABSTRACT:

This data package provides a curated set of long-term, historical daily rainfall and streamflow data for a large region spanning the southern Amazonian rainforest and tropical savanna biomes of Brazil. The curated data set was derived from free, publicly-available rainfall, streamflow, and associated geographic information systems (GIS) data obtained from the Brazilian water management and electricity regulatory agencies: Agência Nacional de Águas (ANA) and Agência Nacional de Energia Elétrica (ANEEL), respectively.

This curated data collection provides analysis-ready, quality-controlled (i) rainfall and streamflow time series data, (ii) corresponding rainfall and streamflow gauge locations, and (iii) stream catchment boundary GIS data.

Additional data package information and contents, including raw data files, documentation of data acquisition and processing, and related programmatic scripts, are available via Figshare: https://doi.org/10.6084/m9.figshare.3100912.v1

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This data is part of a project studying the hydrological effects of wildfire on the Illilouette Creek Basin in Yosemite National Park. We measured snow depth using time lapse cameras.

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This layer displays the coordinates of several industrial waste plants throughout Pennsylvania.

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This is a collection of step by step demonstrations on how to use HydroShare Apps.

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This is a step-by-step demonstration of how to Add Images, PDFs, and Videos to digital maps using the HydroShare GIS App using an example from this related HydroShare resource: Ames, D. (2016). Algae Growth in Utah Lake Time-lapse, HydroShare, http://www.hydroshare.org/resource/4c8ecb05a72647339df0df6e9a87718f

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This is a step-by-step demonstration of how to view and download forecasts from any stream in the National Hydrography Dataset with the National Water Model App.

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Shapefiles show ponds and wetlands impounded by beaver dams within the boundaries of the Kabetogama Peninsula of Voyageurs National Park. Maps prepared using aerial imagery (1:15,840 - 1:24,000) taken on the following dates: 1940, 1948, 1961, 1972, 1981, 1986, 1987, 1988, 1989, 1990, 1997, 2003, 2005. Cover types classified according to National Wetlands Inventory (NWI) conventions. Consult NWI Wetland Code Interpreter for description of alphanumeric codes: https://www.fws.gov/wetlands/Data/Wetland-Codes.html
These data accompany a published journal article: Johnston, C.A. and S.K. Windels. (2015) Using Beaver Works to Estimate Colony Activity in Boreal Landscapes. The Journal of Wildlife Management 79(7):1072–1080; DOI: 10.1002/jwmg.927

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A demo Composite Resource with some watersheds for the Blacksmith Fork watershed and some additional content.

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CUAHSI presented the Data Archiving and Dissemination Tools workshop at Syracuse University on March 23, 2018. This resource contains the ppt that was used for the presentation, along with a few documents that contain external resources for data management and data management plans as well as a brief outline of the HydroClient demonstration that was presented.

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Data management is a core requirement of all NSF funded research grants and while there are many options for sustaining the life of observation data, there are also many challenges that researchers may encounter. This seminar will discuss some common challenges and present solutions using CUAHSI tools. Moreover, attendees will be introduced to approaches for managing archived and streaming observation data, data ownership, access control, and publication. Discussion will center around pre-defined use cases with an emphasis on researchers that have collected data in the past, are currently collecting data, or are managing a project consisting of data from multiple sources. Attendees can expect an introduction to a variety of software tools for managing time series datasets and are encouraged to follow along through the use case demonstrations. Watch a recording of this cyberseminar here: https://www.youtube.com/watch?v=zQCPuMCSKfg&feature=youtu.be

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The CUAHSI-SCOPE team conducted user-based research to evaluate and design an improved user experience for HydroShare. The user-oriented project focused on identifying key users and workflows, defining current limitations of the system, and developing a comprehensive document of design recommendations.

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This short video will introduce HydroShare’s data archiving capabilities to automatically extract metadata and to control access to your data.

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This brief video will introduce one of CUAHSI’s data access tools, HydroClient. You can use HydroClient on data.cuahsi.org to search for, preview, and download time series data like stream gauge measurements, meteorological station measurements, repeated “grab” samples, and soil moisture measurements. HydroClient enables users to discover and preview plots of data from federal agencies, university researchers, and watershed organizations all in the same format. If you are interested in publishing data on HydroClient, contact help@cuahsi.org or create a Publishing Account on HydroServer.cuahsi.org.

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rdtyxur

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The contents of this resource include materials from the CUAHSI Data Services Workshop hosted at the University of Arizona. The contents include the presentation powerpoint, a HydroShare Data Discovery Exercise, and a Data Management Plan Evaluation Exercise. If you reuse these materials please contact the author.

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This daily average air temperature for the Little Bear River gauging station near Mendon, UT.

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DMP Example

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This resource references a large temperature database developed for the western U.S. that contains records for >23,000 unique stream and river sites and consists of data contributed by hundreds of professionals working for dozens of natural resource agencies. All the records have been QA/QC’d and linked to the National Hydrography Dataset and fully documented with metadata for easy use. The website describing the NorWeST project and serving the data is here (https://www.fs.fed.us/rm/boise/AWAE/projects/NorWeST.html). The publication, The NorWeST Summer Stream Temperature Model and Scenarios for the Western U.S.: A Crowd‐Sourced Database and New Geospatial Tools Foster a User Community and Predict Broad Climate Warming of Rivers and Streams can be found here: https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2017WR020969

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The contents of this resource include materials from the CUAHSI Data Services Workshop hosted at the North Carolina State University. The contents include the presentation powerpoint, a HydroShare Data Discovery Exercise, and a Data Management Plan Evaluation Exercise. If you reuse these materials please contact the author.

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This resource contains a Jupyter notebook that demonstrate how the CUAHSI JupyterHub platform can be used to perform basic hydrologic data analysis. Temperature data is collected via the CUAHSI Hydrologic Information System (HIS) using web services. These data are interrogated, organized using Python classes, and plotted in various ways to demonstrate common data analysis steps. To get started, click the Open with dropdown on the top right of the resource and select CUAHSI JupyterHub. To use CUAHSI JupyterHub, you will need a HydroShare account.