ABSTRACT:

This resource contains 5-minute discharge data from 13 experimental catchments in Central Panama. The Agua Salud Project is managed by the Smithsonian Tropical Research Institute to facilitate research into the ecosystem benefits of various land covers in the humid tropics. The attached README.md includes a more thorough description of this dataset and site specific details. A user can export these data from the HDF archive using the included Python script or access the data directly using a variety of HDF libraries in other languages.

ABSTRACT:

This resource contains 15-minute rainfall data from 13 experimental catchments Central Panama. The Agua Salud Project is managed by the Smithsonian Tropical Research Institute to facilitate research into the ecosystem benefits of various land covers in the humid tropics. The attached README.md includes a more thorough description of this dataset and site specific details. A user can export these data from the HDF archive using the included Python script or access the data directly using a variety of HDF libraries in other languages.

ABSTRACT:

This resource collections contains discharge and rainfall data from 13 experimental catchments in Central Panama. The Agua Salud Project is managed by the Smithsonian Tropical Research Institute to facilitate research into the ecosystem benefits of various land covers in the humid tropics. Each resource contains a README.md with a more thorough description of this dataset and site specific details. A user can export these data from the HDF archive using the included Python scripts or access the data directly using a variety of HDF libraries in other languages.

ABSTRACT:

This resource contains an archive of tab-separated data files with minimally processed stage values above each weir in the Agua Salud Project. These data are a precursor to the depth data found in the Agua Salud Discharge Data resource. The depth data included with in the Agua Salud Discharge Data HDF archive were processed using algorithm that reduces the influence of clogs and woody debris on stage readings behind a weir. The archive contains a README.md file with a more complete description of the data and details how these data were processed.

ABSTRACT:

This resource collections contains discharge and rainfall data from 13 experimental catchments in Central Panama. The Agua Salud Project is managed by the Smithsonian Tropical Research Institute to facilitate research into the ecosystem benefits of various land covers in the humid tropics. Each resource contains a README.md with a more thorough description of this dataset and site specific details. A user can export these data from the HDF archive using the included Python scripts or access the data directly using a variety of HDF libraries in other languages.

ABSTRACT:

This resource includes a single archive of discharge and rainfall data from 13 experimental catchments in Central Panama. The Agua Salud Project is managed by the Smithsonian Tropical Research Institute to facilitate research into the ecosystem benefits of various land covers in the humid tropics. These data were extracted from original HDF5 archives that are part of the Agua Salud Resource Collection. These data are furnished as a convenience for users unfamiliar with Python and HDF5. Users intending to use these data programmatically may find the original HDF5 archives more convenient.

ABSTRACT:

This resource collections contains discharge and rainfall data from 13 experimental catchments in Central Panama. The Agua Salud Project is managed by the Smithsonian Tropical Research Institute to facilitate research into the ecosystem benefits of various land covers in the humid tropics. Each resource contains a README.md with a more thorough description of this dataset and site specific details. A user can export these data from the HDF archive using the included Python scripts or access the data directly using a variety of HDF libraries in other languages.

ABSTRACT:

This resource includes a single archive of discharge and rainfall data from 13 experimental catchments in Central Panama. The Agua Salud Project is managed by the Smithsonian Tropical Research Institute to facilitate research into the ecosystem benefits of various land covers in the humid tropics. These data were extracted from original HDF5 archives that are part of the Agua Salud Resource Collection. These data are furnished as a convenience for users unfamiliar with Python and HDF5. Users intending to use these data programmatically may find the original HDF5 archives more convenient.

ABSTRACT:

This resource contains 15-minute rainfall data from 13 experimental catchments Central Panama. The Agua Salud Project is managed by the Smithsonian Tropical Research Institute to facilitate research into the ecosystem benefits of various land covers in the humid tropics. The attached README.md includes a more thorough description of this dataset and site specific details. A user can export these data from the HDF archive using the included Python script or access the data directly using a variety of HDF libraries in other languages.

ABSTRACT:

This resource contains "RouteLink" files for version 2.1.6 of the National Water Model which are used to associate feature identifiers for computational reaches to relevant metadata. These data are important for comparing NWM feature data to USGS streamflow and lake observations. The original RouteLink files are in NetCDF format and available here: https://www.nco.ncep.noaa.gov/pmb/codes/nwprod

This resource includes the files in a human-friendlier CSV format for easier use, and a machine-friendlier file in HDF5 format which contains a single pandas.DataFrame. The scripts and supporting utilities are also included for users that wish to rebuild these files. Source code is hosted here: https://github.com/jarq6c/NWM_RouteLinks

ABSTRACT:

This resource contains "RouteLink" files for version 2.1.6 of the National Water Model which are used to associate feature identifiers for computational reaches to relevant metadata. These data are important for comparing NWM feature data to USGS streamflow and lake observations. The original RouteLink files are in NetCDF format and available here: https://www.nco.ncep.noaa.gov/pmb/codes/nwprod

This resource includes the files in a human-friendlier CSV format for easier use, and a machine-friendlier file in HDF5 format which contains a single pandas.DataFrame. The scripts and supporting utilities are also included for users that wish to rebuild these files. Source code is hosted here: https://github.com/jarq6c/NWM_RouteLinks

ABSTRACT:

This resource contains "RouteLink" files for version 2.2.3 of the National Water Model which are used to associate feature identifiers for computational reaches to relevant metadata. These data are important for comparing NWM feature data to USGS streamflow and lake observations. The original RouteLink files are in NetCDF format and available here: https://www.nco.ncep.noaa.gov/pmb/codes/nwprod

This resource includes the files in a human-friendlier CSV format for easier use, and a machine-friendlier file in HDF5 format which contains a single pandas.DataFrame. The scripts and supporting utilities are also included for users that wish to rebuild these files. Source code is hosted here: https://github.com/jarq6c/NWM_RouteLinks

ABSTRACT:

This resource contains "RouteLink" files for version 3.0.7 of the National Water Model which are used to associate feature identifiers for computational reaches to relevant metadata. These data are important for comparing NWM feature data to USGS streamflow and lake observations. The original RouteLink files are in NetCDF format and available here: https://www.nco.ncep.noaa.gov/pmb/codes/nwprod

This resource includes the files in a human-friendlier CSV format for easier use, and a machine-friendlier file in HDF5 format which contains a single pandas.DataFrame. The scripts and supporting utilities are also included for users that wish to rebuild these files. Source code is hosted here: https://github.com/jarq6c/NWM_RouteLinks