AndreaBozzo/ceres-open-data-index huggingface dataset:
Spreadsheet with information about downscaled climate datasets and National Oceanic and Atmospheric Administration (NOAA) Atlas 14 stations used in this project (Datasets_station_information.xlsx)

The South Florida Water Management District (SFWMD) and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 174 National Oceanic and Atmospheric Administration (NOAA) Atlas 14 stations in central and south Florida. The change factors were computed as the ratio of projected future to historical extreme precipitation depths fitted to extreme precipitation data from various downscaled climate datasets using a constrained maximum likelihood (CML) approach. The change factors correspond to the period 2050-2089 (centered in the year 2070) as compared to the 1966-2005 historical period.  
A Microsoft Excel workbook is provided which tabulates information about the downscaled climate datasets and the NOAA Atlas 14 stations used in this project.

Tags: climatologymeteorologyatmosphere, depth-duration-frequency, extremes, florida, precipitation-atmospheric, precipitation-extremes, south-florida, south-florida-water-management-district, southern-florida, usgs-6157296fd34e0df5fb9f82f5
Organization: Department of the Interior
Spreadsheet of best models for each downscaled climate dataset and for all downscaled climate datasets considered together (Best_model_lists.xlsx)

The South Florida Water Management District (SFWMD) and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 174 National Oceanic and Atmospheric Administration (NOAA) Atlas 14 stations in central and south Florida. The change factors were computed as the ratio of projected future to historical extreme precipitation depths fitted to extreme precipitation data from various downscaled climate datasets using a constrained maximum likelihood (CML) approach. The change factors correspond to the period 2050-2089 (centered in the year 2070) as compared to the 1966-2005 historical period.  
A Microsoft Excel workbook is provided that tabulates best models for each downscaled climate dataset and for all downscaled climate datasets considered together. Best models were identified based on how well the models capture the climatology and interannual variability of four climate extreme indices using the Model Climatology Index (MCI) and the Model Variability Index (MVI) of Srivastava and others (2020). The four indices consist of annual maxima consecutive precipitation for durations of 1, 3, 5, and 7 days compared against the same indices computed based on the PRISM and SFWMD gridded precipitation datasets for two climate regions: climate region 4 in South Central Florida, and climate region 5 in South Florida. The PRISM dataset is based on the Parameter-elevation Relationships on Independent Slopes Model interpolation method of Daly and others (2008). The South Florida Water Management District’s (SFWMD) precipitation super-grid is a gridded precipitation dataset developed by modelers at the agency for use in hydrologic modeling (SFWMD, 2005). This dataset is considered by the SFWMD as the best available gridded rainfall dataset for south Florida. Best models were selected based on MCI and MVI evaluated within each individual downscaled dataset. In addition, best models were selected by comparison across datasets and referred to as "ALL DATASETS" hereafter. Due to the small sample size, all models in the using the Weather Research and Forecasting Model (JupiterWRF) dataset were considered as best models.

Tags: climatologymeteorologyatmosphere, depth-duration-frequency, extremes, florida, precipitation-atmospheric, precipitation-extremes, south-florida, south-florida-water-management-district, southern-florida, usgs-615729a8d34e0df5fb9f82f8
Organization: Department of the Interior
Spreadsheet of areal reduction factors by region in Florida (Areal_reduction_factors.xlsx)

The South Florida Water Management District (SFWMD) and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 174 National Oceanic and Atmospheric Administration (NOAA) Atlas 14 stations in central and south Florida. The change factors were computed as the ratio of projected future to historical extreme precipitation depths fitted to extreme precipitation data from various downscaled climate datasets using a constrained maximum likelihood (CML) approach. The change factors correspond to the period 2050-2089 (centered in the year 2070) as compared to the 1966-2005 historical period. 
An areal reduction factor (ARF) is computed to convert rainfall statistics of a point, such as at a weather station, to an area, such as a watershed or model grid cell.  Regions considered for the development of change factors as part of this study study are taken from NOAA National Center for Environmental Information (NCEI) U.S. Climate Divisions for the state of Florida with some modifications in south Florida. A Microsoft Excel workbook is provided which tabulates areal reduction factors (ARF) by ARF region, event duration, and model grid-cell area. The ARF were developed for each ARF region based on the PRISM gridded precipitation dataset for Florida. The PRISM dataset is based on the Parameter-elevation Relationships on Independent Slopes Model (Daly and others, 2008).

Tags: climatologymeteorologyatmosphere, depth-duration-frequency, extremes, florida, precipitation-atmospheric, precipitation-extremes, south-florida, south-florida-water-management-district, southern-florida, usgs-61572a0cd34e0df5fb9f82fc
Organization: Department of the Interior
Extreme gradient boosting machine learning models, suspended sediment, bedload, streamflow, and geospatial data, Minnesota, 2007-2019

A series of machine learning (ML) models were developed for Minnesota. The ML models were trained and tested using suspended sediment, bedload, streamflow, and geospatial data to predicted suspended sediment and bedload. Suspended sediment, bedload, and streamflow data were collected during water years 2007 through 2019. The ML models were used to improve understanding of sediment transport processes and increase accuracy of estimating sediment and loads for streams and rivers across Minnesota. The contents of this data release include README files, input files, output files, and source code (R software version 3.6.1) needed to reproduce the ML models and results in the associated article in Hydrological Processes (https://doi.org/10.1002/hyp.14648).

Tags: bedload, sediment-transport, suspended-material-water, usgs-61572adcd34e0df5fb9f8300
Organization: Department of the Interior
Shapefile of NOAA Atlas 14 stations in central and south Florida (Atlas14_stations.shp)

The South Florida Water Management District (SFWMD) and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 174 NOAA Atlas 14 stations in central and south Florida. The change factors were computed as the ratio of projected future to historical extreme precipitation depths fitted to extreme precipitation data from various downscaled climate datasets using a constrained maximum likelihood (CML) approach. The change factors correspond to the period 2050-2089 (centered in the year 2070) as compared to the 1966-2005 historical period.  
Geospatial data provided in an ArcGIS shapefile are described herein. The shapefile shows the locations of NOAA Atlas 14 stations in central and south Florida for which depth-duration-frequency curves and change factors of precipitation depths were developed as part of this project. For more information about the stations, see Table 1 of Datasets_station_information.xlsx.

Tags: ahed, arc-hydro, archydro, basins, boundaries, everglades, florida, hydrography, nexrad, rain, rain-areas, rainarea, rainareas, south-florida, south-florida-water-management-district, southern-florida, usgs-61572afbd34e0df5fb9f8305
Organization: Department of the Interior
Microbial Community Composition Data from Blacktail Creek near Williston, North Dakota

A large spill of wastewater from oil and gas operations was discovered adjacent to Blacktail Creek near Williston, North Dakota in January 2015. To determine the effects of this spill on streambed microbial communities over time, bed sediment samples were taken from Blacktail Creek upstream, adjacent to, and at several locations downstream from the spill site. Blacktail Creek is a tributary of the Little Muddy River, and additional samples were taken upstream and downstream from the confluence of Blacktail Creek and the Little Muddy River. Samples were collected in February 2015, June 2015, June 2016, and June 2017. DNA was extracted from these sediments, and sequencing of the 16S ribosomal RNA gene was performed to enable analysis of the microbial community structure. Raw sequence data was processed, and taxonomy was assigned based on the Silva 132 database (Yilmaz et al, 2014)  using the MOTHUR software package (Schloss et al, 2009). Raw sequence data are available from GenBank at https://www.ncbi.nlm.nih.gov/bioproject/PRJNA666160.

Tags: bacteria, biota, blacktail-creek, brine-spills, dna-sequencing, environment, environmental-health, geoscientificinformation, hydraulic-fracturing, inlandwaters, little-muddy-river, microbes, microbiology, north-dakota, sediment, unconventional-oil-and-gas-production, usgs-615b45a1d34e7b019241722b, water-properties, williams, williston, williston-basin
Organization: Department of the Interior
Shapefile of climate regions for the state of Florida (Climate_regions.shp)

The South Florida Water Management District (SFWMD) and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 174 NOAA Atlas 14 stations in central and south Florida. The change factors were computed as the ratio of projected future to historical extreme precipitation depths fitted to extreme precipitation data from various downscaled climate datasets using a constrained maximum likelihood (CML) approach. The change factors correspond to the period 2050-2089 (centered in the year 2070) as compared to the 1966-2005 historical period.  
Geospatial data provided in an ArcGIS shapefile are described herein. The shapefile contains polygons of climate regions including their acreages. As part of this project, best models from each downscaled climate dataset are determined for climate regions in South Florida and South-Central Florida based on how well they reproduce historical climate extreme indices. Table 1 of Datasets_station_information.xlsx lists the NOAA Atlas 14 stations located within each climate region. See Best_model_lists.xlsx for a list of best models for each climate region in each downscaled climate dataset and when all downscaled climate datasets are considered together.

Tags: boundaries, climate-divisions, everglades, florida, south-florida, south-florida-water-management-district, southern-florida, usgs-615731d9d34e0df5fb9f8375
Organization: Department of the Interior
Shapefile of Areal Reduction Factor (ARF) regions for the state of Florida (ARF_regions.shp)

The South Florida Water Management District (SFWMD) and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 174 NOAA Atlas 14 stations in central and south Florida. The change factors were computed as the ratio of projected future to historical extreme precipitation depths fitted to extreme precipitation data from various downscaled climate datasets using a constrained maximum likelihood (CML) approach. The change factors correspond to the period 2050-2089 (centered in the year 2070) as compared to the 1966-2005 historical period.  
An areal reduction factor (ARF) is computed to convert rainfall statistics of a point, such as at a weather station, to an area, such as a watershed or model grid cell.  Regions considered for the development of change factors as part of this study study are taken from NOAA National Center for Environmental Information (NCEI) U.S. Climate Divisions for the state of Florida with some modifications in south Florida.  Geospatial data provided in an ArcGIS shapefile are described herein. Areal reduction factors (ARF) and their standard deviation have been calculated for each region. For each model grid cell closest to each NOAA Atlas 14 station, return levels for extreme precipitation depth are adjusted from the area-scale to the station-scale by dividing by the areal reduction factor (ARF) for the ARF region where the station is located. See Areal_reduction_factors.xlsx and Table 1 of Datasets_station_information.xlsx for the ARF data by ARF region, event duration, and model grid-cell area.

Tags: arf, boundaries, climate-divisions, everglades, florida, south-florida, south-florida-water-management-district, southern-florida, usgs-6157342ad34e0df5fb9f838b
Organization: Department of the Interior
Shapefile of SFWMD basins as defined in their ArcHydro Enhanced Database (AHED) (AHED_basins.shp)

The South Florida Water Management District (SFWMD) and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 174 NOAA Atlas 14 stations in central and south Florida. The change factors were computed as the ratio of projected future to historical extreme precipitation depths fitted to extreme precipitation data from various downscaled climate datasets using a constrained maximum likelihood (CML) approach. The change factors correspond to the period 2050-2089 (centered in the year 2070) as compared to the 1966-2005 historical period.  
The SFWMD manages the water resources of various interconnected areas in south Florida, which are defined in the SFWMD ArcHydro Enhanced Database (AHED) as “AHED Rain Areas”. The SFWMD is interested in summarizing change factors for each individual AHED Rain Area to use in future planning efforts. Geospatial data provided in an ArcGIS shapefile named “AHED_basins.shp” are described herein. The shapefile contains polygons for the AHED Rain Areas defined in the South Florida Water Management District (SFWMD)'s ArcHydro Enhanced Database (AHED) including their acreages.

Tags: ahed, arc-hydro, archydro, basins, boundaries, everglades, florida, hydrography, nexrad, rain, rain-areas, rainarea, rainareas, south-florida, south-florida-water-management-district, southern-florida, usgs-6157349fd34e0df5fb9f8393
Organization: Department of the Interior
Age, Trace Metal, Stable Isotope, and Fatty Acid Data Collected from Sturgeon Captured in the Mississippi and St. Croix Rivers, Minnesota and Wisconsin, 2015-2016. DATA

Proposed invasive carp barriers may threaten populations of migratory fishes in the St. Croix National Scenic Riverway and the Mississippi National River and Recreation Area by preventing movements between rivers needed to fulfill life history requirements.  Moreover, reproducing populations of invasive carp could alter aquatic food webs and negatively affect mussels and migratory fishes.  In this study, nonlethal chemical techniques were used to determine the trophic positions and migratory histories of lake sturgeon (Acipenser fulvescens) captured in the St. Croix and Mississippi rivers.  Stable isotope analyses demonstrated differences in trophic position among sturgeon captured in different locations among the two rivers.  Ratios of strontium to calcium (Sr:Ca) and barium to calcium (Ba:Ca) in collected water samples were characterized at six sampling locations among the two rivers.  Laser ablation data obtained from cross sections of lake sturgeon pectoral fin rays indicated that lake sturgeon Sr:Ca values were different between rivers, but Sr:Ca values were similar for natal and capture locations of lake sturgeon captured in the same river.  However, Sr:Ca data showed that some fish likely moved between the two rivers.  Lake sturgeon captured in the Mississippi River had similar length-weight relations but higher length-at-age compared to lake sturgeon captured in the St. Croix River.  Growth and Sr:Ca analyses provided evidence that the St. Croix and Mississippi rivers have separate populations of lake sturgeon that interact through migrations of individual fish between rivers.  Results of this study will provide managers information about the feeding ecology and migration histories of lake sturgeon within these two park units and provide pre-invasion data for lake sturgeon should populations of invasive carp become established.  In addition, laser ablation techniques presented here could be used to study other migratory fishes that serve as dispersal agents for at-risk mussel species.

Tags: age, biota, fatty-acid, lake-sturgeon, migratory-history, mississippi-national-river-and-recreation-area-miss, none, pectoral-fin-ray, sr-ca, st-croix-national-scenic-riverway-sacn, stable-isotope, trace-metals, usgs-61575a1ad34e0df5fb9fadd4
Organization: Department of the Interior
Results from isotope analysis of authigenic carbonates collected offshore the U.S. Mid- and South Atlantic

Geochemical analysis of carbonate rock samples collected from seep fields on the RB1903 and AT41 research expeditions in the U.S. Mid- and South Atlantic. Samples were collected as a fingerprint to past hydrocarbon seep activity, fluid source, and depositional environment.

Tags: chemical-analysis, cmhrp, coastal-and-marine-hazards-and-resources-program, environment, gas-hydrate-resources, geochemistry, geoscientificinformation, habitat, light-stable-isotopic-analysis, methanogens, oceans, pacific-coastal-and-marine-science-center, pcmsc, u-s-geological-survey, usgs, usgs-61576cdbd34e0df5fb9fc371
Organization: Department of the Interior
Passive seismic (HVSR) data from Fountain Creek, CO

A total of 119 passive seismic soundings were collected with Tromino (MoHo s.r.l.) 3-axis seismometers in the Fountain Creek area to partially refine alluvial aquifer thickness (depth to bedrock) estimates, particularly over known or suspected paleochannels.  Data were collected during June 21-24, 2021 with a team of 4-5 people, each equipped with a Tromino Blu or Tromino 3G passive seismometer.  A subset of the data included measurements made for shear velocity calibration; this included data collected at 10 well sites where depth to bedrock was available from driller's logs, and 3 sites above cutbanks where bedrock outcropped and the thickness of alluvial sediments could be directly measured. Data were processed using a publicly available batch R processing script (Terry, 2022).  
In picking depths from the 119 measurements for alluvial aquifer thickness, roughly 30% were deemed unusable, 14% were picked with low confidence, 38% were picked with medium confidence, and 18% were picked with high confidence.  Calibration data suggested a shear wave velocity of 195 meters per second.  Using this value, estimated alluvial aquifer thicknesses ranged from 1.7 to 26.8 meters.

Tags: colorado, environment, fountain-creek, geophysics, geoscientificinformation, inlandwaters, usgs-615cb55ed34e7b019242b8ff
Organization: Department of the Interior
Water-quality data used for descriptive statistic summaries in the Heart River Basin, North Dakota, 1970-2020

This folder contains 3 .csv files which contain all the observations for the suite of major ion and nutrient constituents for the Heart River Basin. These files contain the water-quality observations for the statistical summary tables in the report cited in this data release (Tatge and others, 2021).The allsiteinfo.table.csv file can be used to cross reference the sites with the main report (Tatge and others, 2021).
Tatge, W.S., Nustad, R.A., and Galloway, J.M., 2021, Evaluation of Salinity and Nutrient Conditions in the Heart River Basin, North Dakota, 1970-2020: U.S. Geological Survey Scientific Investigations Report 2021-XXXX, XX p.

Tags: heart-river, north-dakota, nutrients, usgs-615cbffed34e7b019242b92a, water-chemistry, water-quality
Organization: Department of the Interior
Streamflow data for sites in the Heart River Basin, North Dakota, 1970-2020

This child page contains eight csv files, site_flow, which contain daily streamflow values for each site. Each file includes a station identifier, date of observation, measured value of streamflow and qualifier code for the measured value. The format of the csv file (date format and column headings) is designed to meet the specific requirements of file format for R-QWTREND. If csv files are opened directly in excel, the format of the data can change. To ensure the data are in the proper format for R-QWTREND, files should be opened in a text editor. The "site" in site_flow can be cross-referenced to the main report by downloading the zipped folder HRtrend folder from child page, "Scripts to run R-QWTREND models and produce results" and navigating to the file allsiteinfo.table.csv.

Tags: datasets, heart-river, north-dakota, streamflow, usgs-615cc348d34e7b019242b937
Organization: Department of the Interior
PHREEQC files to produce geochemical modeling results in the Heart River Basin, North Dakota, 1970-2020

This child page contains a zipped folder which contains all items necessary to run geochemical models and produce results published in U.S. Geological Scientific Investigations Report 2021–XXXX [Tatge, W.S., Nustad, R.A., and Galloway, J.M., 2021, Evaluation of Salinity and Nutrient Conditions in the Heart River Basin, North Dakota, 1970-2020: U.S. Geological Survey Scientific Investigations Report 2021-XXXX, XX p.]. The main folder contains a readme.txt and a file called allsiteinfo.table.csv that can be used to learn how to use the files and reference sites to the main report. Also the main folder contains two folders Model Zone 1 and 2 which include a .pqi, .pqo, and .txt files that can be used to run the models and reproduce results from the main report. PHREEQC is a publicly available software for geochemical modeling. The software can be downloaded at https://wwwbrr.cr.usgs.gov/projects/GWC_coupled/phreeqci/. An accompanying report (Parkhurst and Appelo, 2013) serves as the formal documentation for PHREEQC.
Parkhurst, D.L., and Appelo, C.A.J., 2013, Description of input and examples for PHREEQC version 3—A computer program for speciation, batch-reaction, one-dimensional transport, and inverse geochemical calculations: U.S. Geological Survey Techniques and Methods, book 6, chap. A43, 497 p., available only at http://pubs.usgs.gov/tm/06/a43/.
Copy of the readme.txt is as follows: 
USING THE PHREEQC INPUT FILES
Software needed:
PHREEQC Interactive 3.4 or newer to run the models [https://wwwbrr.cr.usgs.gov/projects/GWC_coupled/phreeqci/]
Text reader
Description of the files included:
MZX_YYYY_YYYY.pqi &lt;- PHREEQC input file indicating the model zone and range of years
MZX_YYYY_YYYY.pqo &lt;- PHREEQC output file indicating the model zone and range of years
MZX_YYYY_YYYY_input.txt &lt;- Text document of the input data
MZX_YYYY_YYYY_output.txt &lt;- Text document of the output data
Run the PHREEQC models
1. Download PHREEQC Interactive
2. Open the .pqi file in PHREEQC Interactive
3. Select the default database for PHREEQC Interactive
4. Press "Run" on the top ribbon
5. Evaluate the output of the model
View the PHREEQC output files
1. Download PHREEQC Interactive
2. Open the .pqo file in PHREEQC Interactive
3. View the output file
OR
1. Open the _output.txt file with a text reader

Tags: geochemistry, usgs-615cc428d34e7b019242b93b, water-chemistry, water-quality
Organization: Department of the Interior