AndreaBozzo/ceres-open-data-index huggingface dataset:
EPA 40km Hexagons for Conterminous United States

This dataset of 40 square kilometer (sq. km) hexagons was created by the U.S. EPA's Environmental Monitoring and Assessment Program (EMAP) and is being released by the U.S. Geological Survey for public use. 
The 40 sq. km hexagons were derived from a grid consisting of a triangular array of points that cover the United States and neighboring Canada and Mexico. The base grid of points had a companion areal structure called a tessellation. The base tessellation hexagons constituted this tessellation. In other words, surrounding each grid point was a hexagon that defines the area within which all points are closer to this grid point than to any other, and the set of hexagons defined this way completely and -mutually exclusively covers the space of the grid. The grid had a base density of approximately 648 sq. km per point with a spacing of approximately 27 km between points. The original 40 sq. km hexagons (which do not form a tessellation) were centered about the randomized grid points and are exactly 1/16th the size of the tessellation hexagons (and therefore slightly more than 40 sq. km). Hexagon boundaries are distributed in geodetic coordinates based on the Clarke 1866 model of the Earth, meaning that the coordinates are latitude and longitude on the ellipsoid used by most North American geodetic coordinate systems. Distribution can also be made in GRS 80 coordinates if desired. The precision of the coordinates is to millionths of a degree (i.e., to 6 decimal places of a degree). This corresponds to about 0.1 meter on the surface of the Earth. The point grid was constructed in the plane of a special version of the Lambert azimuthal equal area projection; for subsequent use they may be projected using other map projections. When other projections are used, the geometry of the point grid will not be perfectly triangular nor will the hexagons surrounding the points be perfect, since sizes and/or shapes and/or distances will necessarily be distorted in another projection relative to the one used to construct the grid. This 40 sq. km hexagon tessellation was created by two successive enhancements of the 648 sq. km tessellation by factors of four. See White et al. 1992 in references.

Tags: canada, conterminous-united-states, environment, geoscientificinformation, hexagon, mexico, sample-frame, sampling-grid, usgs-5ba9378fe4b08583a5ca0937
Organization: Department of the Interior
Sap flow data from a long-hydroperiod forested wetland undergoing salinity intrusion in South Carolina, USA

These data represent sap flow measurements from four tree species and were recorded every 30 minutes over several months in 2015. Data were collected from a tidally-influenced freshwater forested wetland at Strawberry Swamp, located on Hobcaw Barony, which is approximately 7 km east of Georgetown, South Carolina, USA.

Tags: biota, forested-wetland, georgetown-county, hobcaw-barony, physiological-ecology, physiological-processes, salinity, sap-flow, south-carolina-usa, strawberry-swamp, usgs-5ba90f76e4b08583a5ca051e, water-cycle, wetland-ecosystems
Organization: Department of the Interior
An example data set for exploration of Multiple Linear Regression

This data set contains example data for exploration of the theory of regression based regionalization.  The 90th percentile of annual maximum streamflow is provided as an example response variable for 293 streamgages in the conterminous United States.  Several explanatory variables are drawn from the GAGES-II data base in order to demonstrate how multiple linear regression is applied.  Example scripts demonstrate how to collect the original streamflow data provided and how to recreate the figures from the associated Techniques and Methods chapter.

Tags: biota, multiple-linear-regression, regionalization, usgs-5ba90b60e4b08583a5ca04a3
Organization: Department of the Interior
Estimation Site 03111890; Spreadsheets and Metadata

Streamflow was collected at various streamgages in western Pennsylvania in support of the scientific investigations report "Estimation of Base Flow on Ungaged, Periodically Measured Streams in Small Watersheds in Western Pennsylvania".  Data observed at the streamgages for the period of August 1, 2014 through March 31, 2017 are considered.  This dataset includes 1) all data used to develop prediction intervals for the titled estimation site based upon the titled index streamgage for the period of May 1, 2015 to March 31, 2017 and 2) evaluation of data observed before May 1, 2015. For prediction interval development, a Move.1 regression was developed between the titled estimation site and titled index streamgage.  From this regression model, Pearson's correlation coefficient (r) is reported, and the Nash-Sutcliffe efficiency value is computed.  The prediction interval development is included for the 95% prediction interval for both the nonparametric and parametric methods.  For the parametric method, any prediction interval can be developed by changing Student's t critical value.  Any data that were observed before May 1, 2015 were evaluated to see if they fell within the 95% nonparametric prediction interval. The data chosen for the regression development and evaluation is streamflow that is not influenced by runoff.  Streamflow that occurred the day of precipitation and two days after is considered influenced by runoff and not included in the dataset.  Not all streamgages have the same period of record; dates where data were observed both at the titled index streamgage and estimation site are described below in the "Time Period of Data" section.

Tags: beaver-county-pa, butler-county-pa, fayette-county-pa, greene-county-pa, streamflow-data, streamflow-modeling, usgs-5ba555aee4b08583a5c9d5ac, washington-county-pa
Organization: Department of the Interior
Synthetic Streamflow Metadata, North Fork Eagle Creek (2007-2015) for PRMS calibration

This dataset contains a synthetic streamflow timeseries for the North Fork Eagle Creek subwatershed of the Upper Rio Hondo Subbasin, New Mexico. Daily synthetic streamflow data (in cubic feet per second) for the North Fork Eagle Creek was created by subtracting daily streamflow at the South Fork Eagle Creek near Alto, NM (USGS 08387600) streamgage from daily streamflow at the Eagle Creek below South Fork near Alto, NM (USGS 08387600) streamgage, located within 300 feet of each other, for the period from 1 October 2007 to 31 December 2015. This synthetic daily streamflow timeseries is intended to accompany a U.S. Geological Survey Scientific Investigations Report (Douglas-Mankin and Moeser, 2018).

Tags: eagle-creek-nm-gnis-id-905929-stream, model, rio-hondo-nm-gnis-id-910242-stream, streamflow, streamflow-modeling, usgs-5bb2a4e5e4b08583a5d5a0f3
Organization: Department of the Interior
Estimation Site 03111890; Spreadsheets and Metadata

Streamflow was collected at various streamgages in western Pennsylvania in support of the scientific investigations report "Estimation of Base Flow on Ungaged, Periodically Measured Streams in Small Watersheds in Western Pennsylvania".  Data observed at the streamgages for the period of August 1, 2014 through March 31, 2017 are considered.  This dataset includes 1) all data used to develop prediction intervals for the titled estimation site based upon the titled index streamgage for the period of May 1, 2015 to March 31, 2017 and 2) evaluation of data observed before May 1, 2015. For prediction interval development, a Move.1 regression was developed between the titled estimation site and titled index streamgage.  From this regression model, Pearson's correlation coefficient (r) is reported, and the Nash-Sutcliffe efficiency value is computed.  The prediction interval development is included for the 95% prediction interval for both the nonparametric and parametric methods.  For the parametric method, any prediction interval can be developed by changing Student's t critical value.  Any data that were observed before May 1, 2015 were evaluated to see if they fell within the 95% nonparametric prediction interval. The data chosen for the regression development and evaluation is streamflow that is not influenced by runoff.  Streamflow that occurred the day of precipitation and two days after is considered influenced by runoff and not included in the dataset.  Not all streamgages have the same period of record; dates where data were observed both at the titled index streamgage and estimation site are described below in the "Time Period of Data" section.

Tags: beaver-county-pa, butler-county-pa, fayette-county-pa, greene-county-pa, streamflow-data, streamflow-modeling, usgs-5ba5552ce4b08583a5c9d5a0, washington-county-pa
Organization: Department of the Interior
Estimation Site 03111705; Spreadsheets and Metadata

Streamflow was collected at various streamgages in western Pennsylvania in support of the scientific investigations report "Estimation of Base Flow on Ungaged, Periodically Measured Streams in Small Watersheds in Western Pennsylvania".  Data observed at the streamgages for the period of August 1, 2014 through March 31, 2017 are considered.  This dataset includes 1) all data used to develop prediction intervals for the titled estimation site based upon the titled index streamgage for the period of May 1, 2015 to March 31, 2017 and 2) evaluation of data observed before May 1, 2015. For prediction interval development, a Move.1 regression was developed between the titled estimation site and titled index streamgage.  From this regression model, Pearson's correlation coefficient (r) is reported, and the Nash-Sutcliffe efficiency value is computed.  The prediction interval development is included for the 95% prediction interval for both the nonparametric and parametric methods.  For the parametric method, any prediction interval can be developed by changing Student's t critical value.  Any data that were observed before May 1, 2015 were evaluated to see if they fell within the 95% nonparametric prediction interval. The data chosen for the regression development and evaluation is streamflow that is not influenced by runoff.  Streamflow that occurred the day of precipitation and two days after is considered influenced by runoff and not included in the dataset.  Not all streamgages have the same period of record; dates where data were observed both at the titled index streamgage and estimation site are described below in the "Time Period of Data" section.

Tags: beaver-county-pa, butler-county-pa, fayette-county-pa, greene-county-pa, streamflow-data, streamflow-modeling, usgs-5ba55492e4b08583a5c9d599, washington-county-pa
Organization: Department of the Interior
Estimation Site 03111675; Spreadsheets and Metadata

Streamflow was collected at various streamgages in western Pennsylvania in support of the scientific investigations report "Estimation of Base Flow on Ungaged, Periodically Measured Streams in Small Watersheds in Western Pennsylvania".  Data observed at the streamgages for the period of August 1, 2014 through March 31, 2017 are considered.  This dataset includes 1) all data used to develop prediction intervals for the titled estimation site based upon the titled index streamgage for the period of May 1, 2015 to March 31, 2017 and 2) evaluation of data observed before May 1, 2015. For prediction interval development, a Move.1 regression was developed between the titled estimation site and titled index streamgage.  From this regression model, Pearson's correlation coefficient (r) is reported, and the Nash-Sutcliffe efficiency value is computed.  The prediction interval development is included for the 95% prediction interval for both the nonparametric and parametric methods.  For the parametric method, any prediction interval can be developed by changing Student's t critical value.  Any data that were observed before May 1, 2015 were evaluated to see if they fell within the 95% nonparametric prediction interval. The data chosen for the regression development and evaluation is streamflow that is not influenced by runoff.  Streamflow that occurred the day of precipitation and two days after is considered influenced by runoff and not included in the dataset.  Not all streamgages have the same period of record; dates where data were observed both at the titled index streamgage and estimation site are described below in the "Time Period of Data" section.

Tags: beaver-county-pa, butler-county-pa, fayette-county-pa, greene-county-pa, streamflow-data, streamflow-modeling, usgs-5ba55404e4b08583a5c9d591, washington-county-pa
Organization: Department of the Interior
Estimation Site 03111235; Spreadsheets and Metadata

Streamflow was collected at various streamgages in western Pennsylvania in support of the scientific investigations report "Estimation of Base Flow on Ungaged, Periodically Measured Streams in Small Watersheds in Western Pennsylvania".  Data observed at the streamgages for the period of August 1, 2014 through March 31, 2017 are considered.  This dataset includes 1) all data used to develop prediction intervals for the titled estimation site based upon the titled index streamgage for the period of May 1, 2015 to March 31, 2017 and 2) evaluation of data observed before May 1, 2015. For prediction interval development, a Move.1 regression was developed between the titled estimation site and titled index streamgage.  From this regression model, Pearson's correlation coefficient (r) is reported, and the Nash-Sutcliffe efficiency value is computed.  The prediction interval development is included for the 95% prediction interval for both the nonparametric and parametric methods.  For the parametric method, any prediction interval can be developed by changing Student's t critical value.  Any data that were observed before May 1, 2015 were evaluated to see if they fell within the 95% nonparametric prediction interval. The data chosen for the regression development and evaluation is streamflow that is not influenced by runoff.  Streamflow that occurred the day of precipitation and two days after is considered influenced by runoff and not included in the dataset.  Not all streamgages have the same period of record; dates where data were observed both at the titled index streamgage and estimation site are described below in the "Time Period of Data" section.

Tags: beaver-county-pa, butler-county-pa, fayette-county-pa, greene-county-pa, streamflow-data, streamflow-modeling, usgs-5ba5537de4b08583a5c9d58d, washington-county-pa
Organization: Department of the Interior
Estimation Site 03111215; Spreadsheets and Metadata

Streamflow was collected at various streamgages in western Pennsylvania in support of the scientific investigations report "Estimation of Base Flow on Ungaged, Periodically Measured Streams in Small Watersheds in Western Pennsylvania".  Data observed at the streamgages for the period of August 1, 2014 through March 31, 2017 are considered.  This dataset includes 1) all data used to develop prediction intervals for the titled estimation site based upon the titled index streamgage for the period of May 1, 2015 to March 31, 2017 and 2) evaluation of data observed before May 1, 2015. For prediction interval development, a Move.1 regression was developed between the titled estimation site and titled index streamgage.  From this regression model, Pearson's correlation coefficient (r) is reported, and the Nash-Sutcliffe efficiency value is computed.  The prediction interval development is included for the 95% prediction interval for both the nonparametric and parametric methods.  For the parametric method, any prediction interval can be developed by changing Student's t critical value.  Any data that were observed before May 1, 2015 were evaluated to see if they fell within the 95% nonparametric prediction interval. The data chosen for the regression development and evaluation is streamflow that is not influenced by runoff.  Streamflow that occurred the day of precipitation and two days after is considered influenced by runoff and not included in the dataset.  Not all streamgages have the same period of record; dates where data were observed both at the titled index streamgage and estimation site are described below in the "Time Period of Data" section.

Tags: beaver-county-pa, butler-county-pa, fayette-county-pa, greene-county-pa, streamflow-data, streamflow-modeling, usgs-5ba55300e4b08583a5c9d587, washington-county-pa
Organization: Department of the Interior
Laboratory Predation Data (various nonnative warm-water sport fishes), Arizona

These data were compiled to evaluate the potential impact various environmental conditions may have on native fish populaitons through predation. Introduced warm-water sport fishes present a high predation risk for juvenile native fishes, but observations of juvenile native fish surviving and recruiting in some rare cases led us to question what environmental conditions might be responsible for these trends. These data were compiled to allow for a relative comparison of predation effectiveness between a suite of warm-water predators under a variety of environmental conditions. Mean numbers of prey fish surviving in replicated overnight laboratory predation trials were quantified.

Tags: arizona, arizona-game-and-fish-department-arizona-aquatic-research-and-conservation-center, big-water, biota, black-bullhead, bonytail-chub, colorado, colorado-river, cornville, endangered-species, fish, fishery-management, flagstaff, flathead-catfish, fruita, green-sunfish, humpback-chub, laboratory-data, laboratory-experiments, largemouth-bass, native-species, non-native-fish, predation, predators, razorback-sucker, roundtail-chub, smallmouth-bass, turbidity, u-s-fish-and-wildlife-service-horsethief-canyon-native-fish-facility, united-states-forest-service-rocky-mountain-research-station, usgs-5bacec90e4b08583a5d10c56, utah, verde-river, wahweap-state-fish-hatchery, wildlife-biology
Organization: Department of the Interior
Estimation Site 03111200; Spreadsheets and Metadata

Streamflow was collected at various streamgages in western Pennsylvania in support of the scientific investigations report "Estimation of Base Flow on Ungaged, Periodically Measured Streams in Small Watersheds in Western Pennsylvania".  Data observed at the streamgages for the period of August 1, 2014 through March 31, 2017 are considered.  This dataset includes 1) all data used to develop prediction intervals for the titled estimation site based upon the titled index streamgage for the period of May 1, 2015 to March 31, 2017 and 2) evaluation of data observed before May 1, 2015. For prediction interval development, a Move.1 regression was developed between the titled estimation site and titled index streamgage.  From this regression model, Pearson's correlation coefficient (r) is reported, and the Nash-Sutcliffe efficiency value is computed.  The prediction interval development is included for the 95% prediction interval for both the nonparametric and parametric methods.  For the parametric method, any prediction interval can be developed by changing Student's t critical value.  Any data that were observed before May 1, 2015 were evaluated to see if they fell within the 95% nonparametric prediction interval. The data chosen for the regression development and evaluation is streamflow that is not influenced by runoff.  Streamflow that occurred the day of precipitation and two days after is considered influenced by runoff and not included in the dataset.  Not all streamgages have the same period of record; dates where data were observed both at the titled index streamgage and estimation site are described below in the "Time Period of Data" section.

Tags: beaver-county-pa, butler-county-pa, fayette-county-pa, greene-county-pa, streamflow-data, streamflow-modeling, usgs-5ba5527be4b08583a5c9d585, washington-county-pa
Organization: Department of the Interior
Estimation Site 03108010; Spreadsheets and Metadata

Streamflow was collected at various streamgages in western Pennsylvania in support of the scientific investigations report "Estimation of Base Flow on Ungaged, Periodically Measured Streams in Small Watersheds in Western Pennsylvania".  Data observed at the streamgages for the period of August 1, 2014 through March 31, 2017 are considered.  This dataset includes 1) all data used to develop prediction intervals for the titled estimation site based upon the titled index streamgage for the period of May 1, 2015 to March 31, 2017 and 2) evaluation of data observed before May 1, 2015. For prediction interval development, a Move.1 regression was developed between the titled estimation site and titled index streamgage.  From this regression model, Pearson's correlation coefficient (r) is reported, and the Nash-Sutcliffe efficiency value is computed.  The prediction interval development is included for the 95% prediction interval for both the nonparametric and parametric methods.  For the parametric method, any prediction interval can be developed by changing Student's t critical value.  Any data that were observed before May 1, 2015 were evaluated to see if they fell within the 95% nonparametric prediction interval. The data chosen for the regression development and evaluation is streamflow that is not influenced by runoff.  Streamflow that occurred the day of precipitation and two days after is considered influenced by runoff and not included in the dataset.  Not all streamgages have the same period of record; dates where data were observed both at the titled index streamgage and estimation site are described below in the "Time Period of Data" section.

Tags: beaver-county-pa, butler-county-pa, fayette-county-pa, greene-county-pa, streamflow-data, streamflow-modeling, usgs-5ba55202e4b08583a5c9d57f, washington-county-pa
Organization: Department of the Interior
Estimation Site 03107698; Spreadsheets and Metadata

Streamflow was collected at various streamgages in western Pennsylvania in support of the scientific investigations report "Estimation of Base Flow on Ungaged, Periodically Measured Streams in Small Watersheds in Western Pennsylvania".  Data observed at the streamgages for the period of August 1, 2014 through March 31, 2017 are considered.  This dataset includes 1) all data used to develop prediction intervals for the titled estimation site based upon the titled index streamgage for the period of May 1, 2015 to March 31, 2017 and 2) evaluation of data observed before May 1, 2015. For prediction interval development, a Move.1 regression was developed between the titled estimation site and titled index streamgage.  From this regression model, Pearson's correlation coefficient (r) is reported, and the Nash-Sutcliffe efficiency value is computed.  The prediction interval development is included for the 95% prediction interval for both the nonparametric and parametric methods.  For the parametric method, any prediction interval can be developed by changing Student's t critical value.  Any data that were observed before May 1, 2015 were evaluated to see if they fell within the 95% nonparametric prediction interval. The data chosen for the regression development and evaluation is streamflow that is not influenced by runoff.  Streamflow that occurred the day of precipitation and two days after is considered influenced by runoff and not included in the dataset.  Not all streamgages have the same period of record; dates where data were observed both at the titled index streamgage and estimation site are described below in the "Time Period of Data" section.

Tags: beaver-county-pa, butler-county-pa, fayette-county-pa, greene-county-pa, streamflow-data, streamflow-modeling, usgs-5ba55192e4b08583a5c9d57d, washington-county-pa
Organization: Department of the Interior