AndreaBozzo/ceres-open-data-index huggingface dataset:
Second Iteration of Range Wide Lesser Prairie Chicken Lek Habitat Suitability in 2019, Predicted in Southern Great Plains

We developed a second iteration of habitat suitability models for Lesser Prairie Chicken leks, across their range. The first modeling iteration used lek data collected from 2002 to 2012, land cover data ranging from 2001 to 2013, and anthropogenic features from 2011. Our second iteration model used occurrence points from new lek surveys (2015 to 2019) and updated predictor layers to evaluate changes in lek suitability and to quantify current range-wide habitat suitability. We created suitability models from 2 predictor sets: one including all predictors, and the other excluding state as a predictor. All 11 predictors included in the "with state" predictor set were:  average Enhanced Vegetation Index (EVI), distance to Federal Air Administration (FAA) structures, distance to highways, distance to roads, distance to transmission lines, percent used landcover within 5000 meters (m), CRP within 5000 m, land condition index, state, and Topographic Ruggedness Index (TRI). 
We developed models using the MaxEnt (Maximum Entropy) modeling algorithm with Vistrails: Software for Assisted Habitat Modeling [SAHM 2.2].  Details about all inputs and model methods are included in the associated manuscript.
The following data bundles contain input rasters, processing steps, and output files from the vistrails/SAHM modeling workflow: 
1) 'LPC_archive_bundle_metadata.xml' (this file) which contains FGDC metadata describing the archive bundle, as well as source information for 3 predictors that only required minimal processing prior to modeling. 
2) '_archive_raster_inputs_XX.tif' and archive_raster_inputs_XX.xml where XX is the name of 1 of 8 input rasters that were created and used to generate these model results. The original layers and sources used to produce each predictor, as well as processing steps, are specified in each .xml file. 
3) '_archive_workflow_FinalModel.vt' where "NLCD2016 state bckgrnd" and "NLCD2016 wostate bckgrnd" are the names of the history nodes which produced 8 output rasters in this bundle. The file "Maxent_mess_map.tif" was also produced by this .vt file. Contains a VisTrails/SAHM workflow document which contains the workflow that was used to create these outputs.
4) 'XX.tif' where XX is the name of 1 of 9 specific output rasters produced from '_archive_workflow_FinalModel.vt'. These outputs include continuous and thresholded probability maps for models including and excluding state as a predictor, as well as a MESS (Multivariate Environmental Similarity Surface) map that describes areas with restricted environmental conditions for this species
The remaining data files are the intermediate workflow products as well as the final analyzed model outputs.

Tags: biota, colorado, conservation-planning, habitat-suitability, kansas, new-mexico, oklahoma, prairie-grouse, sahm, software-for-assisted-habitat-modeling, southern-great-plains, species-distribution-modeling, texas, usgs-5fca687ad34e30b9123892b3, vistrails
Organization: Department of the Interior
Umpqua River Oregon Aerial Photograph Data for 1939

The Umpqua River drains 12,103 square kilometers (4,673 square miles) in southwest Oregon before flowing 
into the Pacific Ocean at Winchester Bay near the city of Reedsport. In cooperation with the Portland District 
of the U.S. Army Corps of Engineers (USACE), the USGS evaluated sediment transport and gravel storage 
along the downstream alluvial reaches of the North and South Umpqua Rivers and the entire mainstem 
Umpqua River. This includes the lower 46.8 kilometers (29.1 miles) of the North Umpqua River and the 
lower 122.6 kilometers (76.2 miles) of the South Umpqua River. 
		
The Umpqua River gravel transport study involved multiple analyses, including tracking patterns of historical 
channel change and estimation of a sediment budget. To support these analyses, digital channel maps were 
produced to depict channel and floodplain conditions along the Umpqua River system from different time periods.
		
GIS layers defining the active channel of the Umpqua River system were developed for three time periods: 
1939, 1967, and 2005. For the South Umpqua River and the 19 kilometers (12 miles) of the mainstem 
Umpqua River downstream from the confluence of the North and South Umpqua Rivers, GIS layers were 
also developed for the time periods 1994, 2000, and 2009.
		
For this project, the active channel was defined as area typically inundated during annual high flows, and 
includes the low-flow channel as well as side channels, islands, and channel-flanking gravel bars. The active 
channel datasets were developed by digitizing from aerial photographs. Aerial photographs from 1939 and 
1967 were scanned, rectified, and mosaiced for this project. Digital orthophotographs from 1994, 2000, 2005, 
and 2009 are publicly available (See metadata for each photograph set for more information on the rectification 
process and resolution of each dataset). Although our study area encompasses the Umpqua River and lower 
reaches of the North and South Umpqua Rivers, the extent of each dataset depended upon the underlying 
aerial photographs; for example, the 1967 photographs extend only as far downstream as floodplain kilometer 
7, whereas the 1939 and 2005 datasets extend to the mouth of the Umpqua River at the Pacific Ocean.

Tags: active-channel, douglas-county, environment, fluvial-geomorphology, geoscientificinformation, inlandwaters, oregon, sediment-transport, umpqua-river, usgs-5fca0390-a65f-4af9-b809-d844d29579a3
Organization: Department of the Interior
Species distribution models from a habitat suitability approach: waterfowl of China

This is a data release for models indicating suitable habitat for waterfowl at a 1km resolution across China. Faced with limited data, we built species distribution models using a habitat suitability approach for China’s breeding and non-breeding waterfowl. An extensive review of the literature was used to determine model parameters for habitat modeling. Habitat relationships were implemented in GIS using land cover covariates. Wintering models were validated using waterfowl census data, while breeding models, though developed for many species, were only validated for the one species with sufficient telemetry data available. We developed suitability models for 42 waterfowl species (30 breeding and 39 wintering) at 1 km resolution for the extent of China.

Tags: species-distribution, usgs-5fcfcd2bd34e30b91239adb9
Organization: Department of the Interior
PMIP3/CMIP5 lgm simulated temperature data for North America downscaled to a 10-km grid

This data set consists of monthly long-term mean temperature data (degrees C) for the last glacial maximum (21 ka) downscaled to a 10-km grid of North America.  The 10-km data were derived using simulated temperature data from 10 general circulation models (GCMs; CCSM4, CNRM-CM5, COSMOS-ASO, FGOALS-g2, GISS-E2-R, IPSL-CM5A-LR, MIROC-ESM, MPI-ESM-P-OA, MPI-ESM-P-OAC, and MRI-CGCM3) run under the PMIP3/CMIP5 (Paleoclimate Modelling Intercomparison Project phase 3 / Coupled Model Intercomparison Project phase 5) “lgm” and “piControl” experiments.  The lgm and piControl data are available from the Earth System Grid - Center for Enabling Technologies (ESG-CET; https://esgf-node.llnl.gov/projects/esgf-llnl/).  Additional information about the data is available from the CMIP5 (https://pcmdi.llnl.gov/mips/cmip5/) and PMIP3 (https://pmip3.lsce.ipsl.fr/) web sites.  The names of the lgm and piControl files we used are listed in the “source_file” global attribute of each GCM temperature netCDF file in this data release.  For each GCM, the PMIP3/CMIP5 lgm temperature data were bias corrected using long-term mean differences calculated as the lgm long-term mean minus the piControl long-term mean.  These long-term mean differences were regridded to a North America 10-km Lambert azimuthal equal-area grid using the CDO (Climate Data Operators, https://code.mpimet.mpg.de/projects/cdo) bilinear interpolation function “remapbil”.  We used ICE-5G (VM2) data (Peltier, 2004, https://doi.org/10.1146/annurev.earth.32.082503.144359) to identify grid cells with ice cover at 21 ka.  The interpolated long-term mean differences were applied to CRU CL 2.0 (1961-1990 30-year mean) climate data (New et al., 2002, https://doi.org/10.3354/cr021001).  The CRU CL 2.0 data were also regridded to the 10-km grid using local lapse-rate adjusted interpolation (Praskievicz and Bartlein, 2014, https://doi.org/10.1016/j.jhydrol.2014.06.017).  The ensemble mean data were calculated using the bias corrected temperature data from each of the 10 GCM simulations.

Tags: climate-change, cmip5, mathematical-simulation, pmip3, usgs-5fc9b489d34e4b9faad8ac7a
Organization: Department of the Interior
PeakFQ software input files and selected output files for selected long-term streamgages near Jefferson County, Missouri, through water year 2019

Contents include U.S. Geological Survey (USGS) flood-frequency analysis software PeakFQ input files (.psf specification file and  peak-flow data file) and output files (.prt file of flood-frequency results) for selected streamgaging stations near Jefferson County, Missouri.   Ten stations are included with flood-frequency results updated from Southard and Veilleux (2014) and peak-flow record through the 2019 water year.  Files are presented by the USGS 8-digit station identification number and the 10 stations include: 07010350, 07013000, 07015720, 07016500, 07017200, 07018100, 07019000, 07021000, 07035800, and 07036100.

Tags: jefferson-county, missouri, probabilistic-floods, statistical-analysis, usgs-5fc96ed7d34e4b9faad8a64e
Organization: Department of the Interior
Adirondack New York soil chemistry data, 1992-2017 (ver. 1.1, December 2020)

This dataset contains measurements of chemical concentrations of soil samples representing 28 headwater drainage basins completely within the Adirondack Park of New York State (ADK Park), one basin partially in the ADK Park, and one watershed 2 kilometers from the ADK Park boundary.  Seven of these watersheds have been sampled 2 or 3 times over periods of 12 to 22 years.  Soil samples were collected from pit faces exposed by shoveling.  Total mass of organic matter, carbon and nitrogen in the forest floor are also presented for 16 headwater drainage basins in the ADK Park.   Forest floor mass data were determined from samples collected with soil corers.  The presented data are organized by six projects: the Adirondack Soil Monitoring Study (ADK), (2) the Adirondack Sugar Maple Project (ASM), (3) the Buck Creek and Boreas long-term monitoring watersheds (Buck-Boreas), (4) the Honnedaga Watershed Liming Project (HON), (5) the northeastern Red Spruce Study (Spruce), and (6) the Western Adirondack Stream Survey (WASS).   All data are included in a Microsoft Office 365 .xlsx file with a Table of Contents tab that describes all data tabs and a tab that details the field sampling designs of each project.  Each tab in the .xlsx file has also been saved as an individual comma-delimited (CSV) file.
First posted April 1, 2020, ver. 1.0
Revised December 2020, ver. 1.1
Version 1.1: This version of the dataset is identical to version 1.0 except for revisions to the dates in the column labeled “Date_Collected” in the worksheet labeled “Soil_Chemistry_All_Projects”.  
Version 1.0: This version contains measurements of chemical concentrations of soil samples that were originally published in April 2020. Version 1.0 data are available upon request.

Tags: acidic-deposition-recovery, b-horizon, forest-floor, forest-soils, loss-on-ignition, mineral-soil, oa-horizon, oe-horizon, soil-acidity, soil-aluminum, soil-calcium, soil-carbon, soil-change, soil-chemistry, soil-horizons, soil-magnesium, soil-nitrogen, soil-organic-matter, soil-ph, soil-profile-description, soil-science, soil-sodium, soils-data, usgs-5fc9293fd34e4b9faad8a22f
Organization: Department of the Interior
Coral geochemistry time series from Kahekili, west Maui

Geochemical analysis (including stable boron, boron:calcium ratio, and carbon and oxygen isotopes) were measured from coral cores collected in July 2013 from the shallow reef at Kahekili in Kaanapali, west Maui, Hawaii from scleractinian Porites lobata.

Tags: alkalinity, chemical-analysis, chemical-oceanography, cmhrp, coastal-and-marine-hazards-and-resources-program, coelenterates, coral-reefs, environment, fragile-ecosystems, geochemistry, geoscientificinformation, habitat, kaanapali, marine-chemistry, maui, nutrients, ocean-acidification, oceans, pacific-coastal-and-marine-science-center, pacific-ocean, pcmsc, state-of-hawaii, u-s-geological-survey, usgs, usgs-5fc9210bd34e4b9faad8a1fe
Organization: Department of the Interior
Mercury, methylmercury, cations, dissolved organic carbon, and dissolved organic matter optical properties in small forest streams during five synoptic sampling campaigns at Sleepers River, Vermont, 2017-2018

The dataset describes mercury and dissolved organic matter concentration and quality over five synoptic sampling campaigns at 12 stream sites within the 41-hectare (ha) forested W-9 catchment at Sleepers River, Vermont, with an additional site at the downstream W-3 gage (837 ha). The five campaigns included a large (79 millimeter (mm)) fall storm, spring snowmelt, and spring, summer, and fall base flow periods. During the fall storm, the synoptic sampling was augmented with a time series of samples over the hydrograph at the W-9 weir. All samples were filtered and analyzed for mercury, methylmercury, major cations, total dissolved nitrogen, and dissolved organic carbon (DOC). Dissolved organic matter (DOM) was characterized by a full uv-visible absorbance scan and fluorescence excitation emission matrices, and other properties. Conventional DOM quality metrics were derived from these data and reported herein.

Tags: danville, dom-quality, fluorescence, headwater-stream, humic-like, location, methylmercury, parafac, protein-like, sleepers-river, total-mercury, usgs-5fc84a95d34e4b9faad89cf7, vermont
Organization: Department of the Interior
a194gb.m77t and a194gb.h77t: MGD77T data and header files for single-beam bathymetry data for field activity A-1-94-GB in Prince William Sound, Yakutat Bay, Glacier Bay and Icy Strait, Alaska from 08/08/1994 to 08/17/1994

Single-beam bathymetry data along with GPS navigation data was collected as part of the U.S. Geological Survey cruise A-1-94-GB. The cruise was conducted in Prince William Sound, Yakutat Bay, Glacier Bay and Icy Strait, Alaska from August 8 to August 17, 1994. The chief scientists were Paul Carlson and Rob Kayen from the USGS Coastal and Marine Geology office in Menlo Park, CA, Ellen Cowan (Appalachian State University), and Ross Powell (Northern Illinois University).
The overall purpose of this study was to study high resolution seismic facies to interpret glacial fluctuations in Gulf of Alaska region.
The geophysical source was a 12 kilohertz (kHz) bathymetry echosounder.
These data are reformatted from space-delimited ASCII text files located in the Coastal and Marine Geology Program (CMGP) InfoBank field activity catalog at http://walrus.wr.usgs.gov/infobank/a/a194gb/html/a-1-94-gb.sc.meta.html into MGD77T format provided by the NOAA's National Geophysical Data Center(NGDC). The MGD77T format includes a header (documentation) file (.h77t) and a data file (.m77t). More information regarding this format can be found in the publication listed in the Cross_reference section of this metadata file.

Tags: bathymetry, bathymetry-and-elevation, bathymetry-measurement, distributions, geoscientificinformation, glacier-bay, gulf-of-alaska, icy-strait, marine-geology, marine-geophysics, oceans, prince-william-sound, seafloor-topography, single-beam-bathymetry, single-beam-echo-sounder, state-of-alaska, usgs-5fc83bbd-3c38-4cb1-8ef4-cf343f8fc14b, water-depth, yakutat-bay
Organization: Department of the Interior
Copper River and Knik River Bathymetric Surveys at Select Alaska Highway Bridges near Cordova and Butte, Alaska, 2020

In 2020, the Alaska Science Center and the Idaho Water Science Center conducted bathymetric surveys at three highway bridge structures. The bridge structures (NBI 331 and 1187) at Flag Point near Cordova, AK are located on Alaska State Route 10 (commonly referred to as the Copper River Highway). Bridge structure NBI 539 on the Knik River is located on the Old Glenn Hwy near Butte, AK. These bathymetry data generally include complete coverage for upstream and downstream channels, except for extreme shallow areas along banks, where structures limited boat access, or where data was removed during post-processing. This metadata describes the September 26 and 28, 2020 Copper River and Knik River bathymetric surveys at NBI 331, 1187, and 539.

Tags: ak, alaska, bathymetry, bathymetry-measurement, butte, copper-river, cordova, elevation, geology, hydrographic-dataset, hydrology, hypack, hysweep, inlandwaters, knik-river, multibeam, multibeam-sonar, swath-bathymetry, topography, u-s-geological-survey, usa, usgs, usgs-5fc7e018d34e4b9faad899b5, water-depth, xyz
Organization: Department of the Interior
Surrogate regression models for computation of time series suspended-sediment concentrations, Chester County, Pennsylvania (2020)

The U.S. Geological Survey (USGS), in cooperation with the Chester County Water Resources Authority (CCWRA), has collected discrete stream samples for analysis of suspended-sediment concentrations at seven gaging stations where near real-time continuous data on stream discharge, and turbidity have been collected since 2005.  Historical regression equations to estimate suspended-sediment concentrations are reported in Sloto, R.A., and Olson, L.E., Estimated suspended-sediment loads and yields in the French and Brandywine Creek Basins, Chester County, Pennsylvania, water years 2008–09: U.S. Geological Survey Scientific Investigations Report 2011–5109, 31 p. for four of the seven stations, including French Creek near Phoenixville, West Branch Brandywine Creek near Honey Brook, West Branch Brandywine Creek at Modena, and East Branch Brandywine Creek below Downingtown. This data release updates regression equations published in that report, and adds an additional three stations with sufficient samples to develop a surrogate to predict suspended-sediment concentrations.  Regression equations included possible explanatory variables of stream discharge, and turbidity with base-10 logarithmic (log) transformations of selected variables.  Data files in .CSV format include the variables of datetime, stream discharge (in cubic feet per second, cfs), suspended-sediment concentrations (in milligrams per liter, mg/L), turbidity (in formazin nephelometric units, FNU), and calculated or transformed variables of log stream discharge, log suspended-sediment concentration, and log turbidity. 
Data are included for 7 stream sites: 
French Creek at Phoenixville, PA (01472157) 
Valley Creek at PA Turnpike Bridge near Valley Forge, PA (01473169) 
White Clay Creek near Strickersville, PA (01478245) 
Red Clay Creek near Kennett Square, PA (01479820) 
West Branch Brandywine Creek at Honeybrook, PA (01480300) 
West Branch Brandywine Creek at Modena, PA (01480617) 
East Branch Brandywine Creek below Downingtown, PA (01480870)

Tags: chester-county, pennsylvania, surface-water, suspended-sediment, usgs-5fc7de99d34e4b9faad8999d
Organization: Department of the Interior
Farmington Lake Sediment Descriptions and Sediment Chemistry

These data provide the initial field observations of reservoir sediments, from cores collected in November 2019, including grain size, color, bioturbation, redox indicators, and reaction with hydrogen peroxide and hydrochloric acid. Total sediment chemistry data from the cores are also included.

Tags: biota, sediment-descriptions, usgs-5fc7d3a5d34e4b9faad8968e
Organization: Department of the Interior
Data and model archive for multiple linear regression models for prediction of weighted cyanotoxin mixture concentrations and microcystin concentrations at three recurring bloom sites in Kabetogama Lake in Minnesota

Multiple linear regression models were developed using data collected in 2016 and 2017 from three recurring bloom sites in Kabetogama Lake in northern Minnesota. These models were developed to predict concentrations of cyanotoxins (anatoxin-a, microcystin, and saxitoxin) that occur within the blooms. Virtual Beach software (version 3.0.6) was used to develop four models: two cyanotoxin mixture (MIX) models and two microcystin (MC) models. Models include those using readily available environmental variables (for example, wind speed and specific conductance) and those using additional comprehensive variables (based on laboratory analyses). Many of the independent variables were averages over a certain time period prior to a sample date, whereas other independent variables were lagged between 4 and 8 days. Funding for this work was provided by the U.S Geological Survey – National Park Service Partnership and the U.S. Geological Survey Environmental Health Program (Toxic Substance Hydrology and Contaminant Biology). The resulting model equations and final datasets are included in this data release while an associated child item model archive includes all the files needed to run and develop these VB models.

Tags: cyanobacteria-blue-green-algae, cyanotoxin-mixtures, harmful-algal-blooms, inlandwaters, kabetogama-lake, koochiching-county-minnesota, minnesota, recreational-water-quality, usgs-5fc79816d34e4b9faad89521, voyageurs-national-park
Organization: Department of the Interior
Field observation of current velocities (2018) in Gandys Beach, New Jersey with living shoreline structures

This dataset contains measured (interval=20 minutes) current velocity during February 1 to April 4, 2018 at seven locations along the Gandy's Beach, New Jersey in upper Delaware Bay. These data were used for the analysis of current pattern dynamics along the coast in upper Delaware Bay with oyster-reef based living shoreline structure for shoreline protection.

Tags: current-velocity, living-shoreline, usgs-5fc6a1c1d34e4b9faad88fa2
Organization: Department of the Interior