AndreaBozzo/ceres-open-data-index huggingface dataset:
Hawaiian Islands habitat suitability models for highly invasive plants based on global and regional data for baseline climate scenario (1990-2009)

We created a comprehensive estimate of potential distribution for a subset of 17 ecosystem modifying invasive plants (EMIPs) in Hawaiʻi. This work uses methods that integrate a wide set of data sources including agency and citizen science data, but perhaps more importantly, the integration of regional and global distribution information for these species. We built three sets of ensemble species distribution models (SDMs) for each species. We first built global and regional ensemble distribution models for each species. Then, to create a comprehensive estimate of potential invasive species distribution for our study species in Hawaiʻi, we built nested regional models that integrate our global and regional ensemble models. This approach and the resulting mapped distributions are the most comprehensive to date for Hawaiian invasive plants and can possibly be applied more broadly to other species in the future. These models are available as both habitat suitability maps with pixel values ranging from 0 (low suitability) to 1 (high suitability); and as binary maps that separate areas of potential presence (1) from those where presence is not expected (0) based on the environmental predictors considered.

Tags: baseline-climate, biota, ensemble-model-projections, hawaii, invasive-plants, main-hawaiian-islands, nested-models, species-distribution-models, usgs-64b9a7ccd34e70357a2bf828
Organization: Department of the Interior
Updates to the Everglades Vulnerability Analysis (EVA) vegetation module

The Everglades Vulnerability Analysis (EVA) is a series of connected, modular Bayesian networks that predict the response of several Everglades indicators of ecosystem health to changes in hydrology, salinity, and the landscape. This release provides the code to update the vegetation module of EVA, validate the updated module, and provides the process and outputs of a sensitivity analysis of the module. Key updates include expanding the number of vegetation classes predicted from 6 to 11 classes, simplifying the inputs to the module, and increasing the number of vegetation observations used to parameterize the network. The validation of the module includes the process to calculate receiver operating characteristic curves and their associated area under the curve values, multi-class Brier scores, and classification error loss from a 10-fold cross-validation on the network. The sensitivity analyses explore the period of record under scenarios of altered hydrology or salinity and determine the most likely vegetation outcome given the proportion of states within the period of record being explored.

Tags: decision-support-methods, ecological-indicators, ecological-processes, environment, everglades, everglades-national-park, florida, natural-resource-management, southern-florida, usgs-64b9d3a6d34e70357a2c39aa, vegetation, wetlands
Organization: Department of the Interior
Rain measurements in and near the Dolan Fire Area, Los Padres National Forest, California, 2022 to 2023

Rainfall measurements were collected in and near the Dolan Fire burn area, Los Padres National Forest, California. The CZU Fire ignited in Los Padres National Forest, California, on August 18, 2020. By the time of full containment on December 31, 2020, the fire had burned 518 km2 (128,050 acres) in Monterey County. The U.S. Geological Survey (USGS) installed seven rain gages in and near the Dolan Fire burn area in October 2021 to measure rainfall during two post-fire wet seasons. This data release contains rain records from the Mill Creek and upper Nacimiento River watersheds collected during water year 2023 (October 1, 2022, through spring 2023). Previous datasets from this region included an additional rain gage (Dolan1), but due to vandalism its data are not usable over winter 2022-2023 and are not reported. Two other gages (Dolan4 and Dolan6) ran out of battery power and so did not record rain over part of the winter of 2022-2023; extreme rain conditions closed access to Los Padres National Forest so that batteries could not be replaced. This affected the following gages after the following dates: Dolan4 did not record data after 2022-11-03 00:54:39, and Dolan6 did not record data after 2022-11-10 16:07:27. Gages Dolan2, Dolan3, Dolan5, and Dolan7 collected complete rain records throughout the wet season. All seven rain gages were removed on May 25, 2023.

Tags: climatologymeteorologyatmosphere, cmhrp, coastal-and-marine-hazards-and-resources-program, environment, fire-damage, monterey-county, pacific-coastal-and-marine-science-center, pcmsc, precipitation-atmospheric, precipitation-measurements, state-of-california, u-s-geological-survey, usgs, usgs-64b9f410d34e70357a2c3ec7
Organization: Department of the Interior
VegET v2.0 illustrative products and evaluation

The agro-hydrologic VegET (VegetationEvapotranspiration) model uses a water balance approach to simulate daily soil moisture (SM), actual evapotranspiration (ETa), and runoff (R). We enhanced the model to include snow accumulation and melt processes along with the separation of runoff into surface runoff and deep drainage and implemented the code using cloud technology. This publication is describing the updated methods and provides evaluation results for the United States and the Greater Horn of Africa.

Tags: conus, evaporation, geoscientificinformation, greater-horn-of-africa, inlandwaters, land-surface-phenology, runoff, soil-moisture, transpiration, usgs-64baa500d34e70357a2c91cd, veget-model, water-budget
Organization: Department of the Interior
Effects of Wetland Management and Associated Abiotic Processes on Rare Plant Communities of Spring-fed Arid Wetlands at Bitter Lake National Wildlife Refuge 2019-2020

This dataset consists of three datafiles: 1) vegetation, 2) abiotic factors, and 3) groundwater levels. Vegetation data were collected twice per month between July and September of 2019 and 2020. Data was collected by establishing 1m x 1m subplots within 12 5m-radius sampling plots distributed across the management units of Bitter Lake National Wildlife Refuge. Subplots were established to represent plot-level vegetation structure and facilitate estimates of rare plant relative abundance. The abiotic factors dataset includes observations of surface soil moisture, salinity, groundwater quality data, and rare plant presence taken weekly between March – October 2019 and May – October 2020 at each established plot within management units of Bitter Lake National Wildlife Refuge. Surface soil conditions were measured using a handheld TEROS 12 soil moisture and salinity sensors (METER group Inc., Pullman, Washington). Groundwater quality data was measured using an YSI handheld multi-parameter (YSI Inc., Yellow Springs, Ohio). The groundwater level  dataset includes groundwater depth data. Groundwater depth was monitored by installing an In-Situ Rugged TROLL 100 water level recorder (In-Situ Inc., Fort Collins, Colorado) in 4 wells within 4 different management units. Each recorder was programmed to conduct readings every 6 hours from March 2019 to October 2020. Groundwater level data was calibrated by installing one In-Situ Rugged BaroTROLL barometric pressure transducer at a midpoint. Groundwater data was downloaded to the Win Situ 5 software, where the data was gathered, calibrated, organized and exported as a .csv file. This dataset summarizes this information and was used for analysis.

Tags: biota, endangered, groundwater, new-mexico, rare-plant, usgs-64baa9e6d34e70357a2c97af, wetland
Organization: Department of the Interior
Tissue-specific bioconcentration of per- and polyfluoroalkyl substances by fathead minnows from contaminated groundwater at a fire-training area, Cape Cod, Massachusetts from 2019

This data release presents chemical and biological results from an investigation of the uptake of per- and polyfluoroalkyl substances (PFAS) from groundwater contaminated by fire training activities on Cape Cod, Massachusetts conducted from July to August 2019. An exposure experiment was conducted at an a PFAS contaminated site (FTA-1) near the fire training area (FTA). To assess the tissue-specific uptake characteristics of the mixture of PFAS present in the groundwater from the FTA-1 site, a 21-day mobile laboratory exposure experiment was conducted.  Details for the groundwater sampling sites and well construction are presented (Table 1). The PFAS mixture concentrations and composition in groundwater and in fish tissues was evaluated using 2 separate analytical methods (Table 2). PFAS quality assurance data are presented in Table 3. Water and tissue samples were collected on days 1, 7, and 21. Water chemistry results for target PFAS analysis are summarized in Table 4. Water chemistry results for suspect PFAS analysis are summarized in Table 5. Fish morphometric data are summarized in Table 6. Fish tissue PFAS target analysis results are presented in Table 7. Fish tissue PFAS suspect analysis results are presented in Table 8.

Tags: biotic-concentration, boundaries, cape-cod, fathead-minnows, fire-training-area, fish, groundwater, joint-base-cape-cod, massachusetts, massachusetts-military-reservation, mobile-laboratory-exposure-experiments, per-and-polyfluoroalkyl-substances, pfas, united-states, usgs-64baaf88d34e70357a2ca00e
Organization: Department of the Interior
Hydrodynamic model output and image simulation code for evaluating image-based river velocimetry from a case study on the Sacramento River near Glenn, California

This data release includes the data and code used for the paper titled "A framework to facilitate development and testing of image-based river velocimetry algorithms", published in the journal Earth Surface Processes and Landforms. Three *.csv files and five *.m files with MATLAB source code are included below. Each *.csv file contains output from a hydrodynamic model of a reach of the Sacramento River near Glenn, California, with a separate file for each of three different discharges (i.e., streamflow rates): 90, 191, and 255 cubic meters per second. The hydrodynamic model used for this purpose was the Nays2DH solver available within the International River Cooperative Interface (iRIC). Provided below is a link to the corresponding model archive, which indludes information on how to obtain the model executable, the data used as input to the model, and a summary of the model calibration.
The modeled flow fields summarized in these files served as input for a case study illustrating a framework for Simulating Hydraulics and Images for Velocimetry Evaluation and Refinement (SHIVER), intended to facilitate the development and testing of image-based river velocimetry algorithms. The *.m files included with this data release are made available to illustrate how this approach is implemented within the context of a particular case study.
More specifically, SacSHIVERscript.m is a MATLAB script is intended to be run in sequence, with each section corresponding to a different step in the SHIVER framework. The other four *.m files are functions called by SacSHIVERscript.m, with createParticles.m used to produce an initial synthetic particle map, importNays.m used to import the hydrodynamic model output, pushParticles.m used to advect the particles from frame to frame as dictated by the modeled flow field, and createImages.m used to convert the synthetic particle maps to simulated images suitable for input to a particle image velocimetry (PIV) algorithm. The *.m files are thoroughly documented, with numerous comments to facilitate understanding of the code.

Tags: california, glenn, hydrodynamic-model, image-velocimetry, particle-image-velocimetry-piv, remote-sensing, river, sacramento-river, usgs-64bbf9b3d34e70357a3110cc, velocity
Organization: Department of the Interior
MODFLOW-NWT and MODPATH6 model use to analyze remedial scenarios affecting plume movement through a sole-source aquifer system, southeastern Nassau County, New York

A three-dimensional steady-state groundwater flow model is coupled with the particle-tracking program, 
MODPATH, to assess the fate and transport of volatile organic compound plumes within the Magothy 
and upper glacial aquifers in southeastern Nassau County, NY.  Knowledge of groundwater-flow patterns 
and rates is essential for effective management of groundwater resources and for mitigation of potential 
adverse effects of the plumes on drinking-water supplies and on ecosystems. Eight hypothetical remedial 
scenarios were evaluated to hydraulically contain a VOC plume.  Specifically, the remedial scenarios 
were optimized to achieve full containment by altering the pumping well locations, adjusting the pumping 
rates, and adjusting the discharge locations and rates.  This modeling analysis will allow the New York 
State Department of Environmental Conservation (NYSDEC) to evaluate pump-and-treat remedial 
alternatives identified in a separate feasibility study (FS), including plume containment and hydrologic 
effects. Modeling will also provide insight into the potential impact to the environment that remedial 
alternatives may have. This USGS data release contains all of the input and output files for the simulations 
described in the associated model documentation report (https://doi.org/10.3133/sir20205090).

Tags: bethpage, environment, geoscientificinformation, groundwater, groundwater-model, inlandwaters, long-island, magothy-aquifer, modflow-nwt, modpath, nassau-county, new-york, remediation, usgs-64bd0ee4-9afb-4086-b2ec-4d2c1aa749a1, usgsgroundwatermodel, voc
Organization: Department of the Interior
Input Data for Model Archive: Two-dimensional flow simulations of the Sacramento River near Glenn, California

This model archive contains the data and software application necessary to simulate two-dimensional hydraulic parameters along a 1.6 kilometer study reach of the Sacramento River near Glenn, California. The iRIC modeling system and the NAYS2DH solver were used to simulate three river flows (90, 191, and 255 cubic meters per second) and provide spatially distributed depths, velocities, and water-surface elevations along the study reach. The archive is split into child-items to help distinguish the individual components of the archive and make downloading of large files more manageable. The first child item in the archive is the hydraulic model software application. The second child item includes the topographic data used to construct the model grid as well as field measurements of water-surface elevation and depth-averaged velocity used to calibrate the hydraulic roughness parameter. The third child item provides output from the NAYS2DH model using various Manning's n roughness values. A comparison of the root mean square errors between the model simulation and field measurements is included for each roughness parameter. The fourth child item includes model output for the three river flows that were simulated to support the manuscript.

Tags: california, glenn, hydrodynamic-model, image-velocimetry, particle-image-velocimetry-piv, remote-sensing, river, sacramento-river, usgs-64be9d9ad34e70357a31c4a0, velocity
Organization: Department of the Interior
Predictive maps of fuel break effectiveness by treatment type and underlying resilience to disturbance and resistance to invasion across the western U.S.

Escalated wildfire activity within the western U.S. has widespread societal impacts and long-term consequences for the imperiled sagebrush (Artemisia spp.) biome. Shifts from historical fire regimes and the interplay between frequent disturbance and invasive annual grasses may initiate permanent state transitions as wildfire frequency outpaces sagebrush communities’ innate capacity to recover. Therefore, wildfire management is at the core of conservation plans for sagebrush ecosystems, especially critical habitat for species of conservation concern such as the greater sage-grouse (Centrocercus urophasianus; hereafter sage-grouse). Fuel breaks help facilitate wildfire suppression by modifying behavior through fuels modification and allowing safe access points for containment by firefighters. We performed a retrospective assessment of probability of fuel break contributing to wildfire containment on all wildfire and fuel break interactions from 1985-2018 within the western U.S. We characterized environmental, fuels, and weather conditions within 500 m of wildfire contact, and within 5 km of the approaching wildfire. We used a binomial generalized mixed model framework with a binomial distribution to identify relationships between these variables and fuel break success. We used the probability of success as predicted from this model to generate maps of predicted probability of success of fuel breaks by resilience to disturbance and resistance to invasion classes for (a) brown strips, (b) mowed strips, (c) green strips, and (d) grand mean effects for all treatment types across the western U.S. These maps can be used to inform urgently needed fuel break placement, characteristics, and maintenance priorities across the sagebrush biome.

Tags: biota, california, colorado, ecology, exotic-grass, fires, fuel-breaks, greater-sage-grouse, habitat-alteration-and-disturbance, human-impacts, idaho, land-use-change, montana, nevada, north-dakota, oregon, sage-grouse, sagebrush-ecosystem, shrubland-ecosystems, south-dakota, usgs-645c0f20d34ec179a8382663, utah, vegetation, washington, western-united-states, wildfire, wildfire-suppression, wyoming
Organization: Department of the Interior
Calibration Data for Model Archive: Two-dimensional flow simulations of the Sacramento River near Glenn, California

This model archive contains the data and software application necessary to simulate two-dimensional hydraulic parameters along a 1.6 kilometer study reach of the Sacramento River near Glenn, California. The iRIC modeling system and the NAYS2DH solver were used to simulate three river flows (90, 191, and 255 cubic meters per second) and provide spatially distributed depths, velocities, and water-surface elevations along the study reach. The archive is split into child-items to help distinguish the individual components of the archive and make downloading of large files more manageable. The first child item in the archive is the hydraulic model software application. The second child item includes the topographic data used to construct the model grid as well as field measurements of water-surface elevation and depth-averaged velocity used to calibrate the hydraulic roughness parameter. The third child item provides output from the NAYS2DH model using various Manning's n roughness values. A comparison of the root mean square errors between the model simulation and field measurements is included for each roughness parameter. The fourth child item includes model output for the three river flows that were simulated to support the manuscript.

Tags: california, glenn, hydrodynamic-model, image-velocimetry, particle-image-velocimetry-piv, remote-sensing, river, sacramento-river, usgs-64be9e56d34e70357a31c4a4, velocity
Organization: Department of the Interior
LANDFIRE Fire Regime Groups

The Fire Regime Groups layer characterizes the presumed historical fire regimes within landscapes based on interactions between vegetation dynamics, fire spread, fire effects, and spatial context (Hann and others 2004). Fire regime group definitions have been altered from previous applications (Hann &amp; Bunnell 2001; Schmidt and others 2002; Wildland Fire Communicator's Guide) to best approximate the definitions outlined in the Interagency FRCC Guidebook. These definitions were refined to create discrete, mutually exclusive criteria. This layer was created by linking the LANDFIRE Biophysical Settings (BpS) layer to the Fire Regime Group rulesets. This geospatial product should display a reasonable approximation of Fire Regime Group, as documented in the Refresh Model Tracker. The Historical Fire Regime Groups data layer categorizes simulated mean fire return intervals and fire severities into five fire regimes defined in the Interagency Fire Regime Condition Class Guidebook. The classes are defined as follows: Fire Regime I: 0 to 35 year frequency, low to mixed severity Fire Regime II: 0 to 35 year frequency, replacement severity Fire Regime III: 35 to 200 year frequency, low to mixed severity Fire Regime IV: 35 to 200 year frequency, replacement severity Fire Regime V: 200+ year frequency, any severity Additional data layer values were included to represent Water (111), Snow / Ice (112), Barren (131), and Sparsely Vegetated (132). Vegetated areas that never burned during the simulations were included in the category "Indeterminate Fire Regime Characteristics" (133); these vegetation types either had no defined fire behavior or had extremely low probabilities of fire ignition.

Tags: biota, conterminous-united-states, continental-u-s, conus, fire-regime-groups, fires, frg, geographic-information-systems, geospatial-dataset, hazard-preparedness, image-collection, landfire-2014, lf-2014, national-geospatial-data-asset, ngda, raster-digital-data, remote-sensing, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, usgs-64beace9d34e70357a31c517
Organization: Department of the Interior
Cover, density, and biomass data from Sandberg bluegrass (Poa secunda) restoration treatments

The dataset includes several measurements collected for two complementary phases of a Sandberg bluegrass restoration project. In the first phase of the project, percentage of vegetation and soil surface cover (e.g. soil, rock) were measured within each of 20 treatment plots (described in the following section) using the Line Point Intercept (LPI) method (Herrick et al. 2005) from 2019-2021. Sandberg bluegrass density was also measured by counting individual plants within 0.5 x 0.5 meter quadrats systematically placed along the transects. Herbaceous biomass was destructively harvested within 0.5 x 0.5 m quadrats that were also systematically placed (at different meter marks than density quadrats) along the transects. Biomass was oven dried and weighed in the USGS Snake River Field Station Laboratory in Boise, Idaho. In Phase II of the project, we sampled cover, density, and biomass characteristics using the same techniques described for Phase I. Phase II had different treatments, with 42 total plots that were sampled 2021-2022.

Tags: ada, biota, community-ecology, ecosystem-restoration, environment, great-basin, idaho, payette, usgs-64bedd5ad34e70357a31c950, vegetation
Organization: Department of the Interior
Model estimates of the probability and volume of debris flows that may be produced by a storm following recent wildfire; re-release of ten wildfires across California, 1997—2015

These data show model estimates of debris flow likelihood and volume that may be produced by a storm in a recently burned landscape. The scientific methods used by the U.S. Geological Survey Emergency Assessment of Post-Fire Debris-Flow Hazards were changed following 2015, and these shapefiles are a re-release of ten fires that occurred between 1997 and 2015 fires, using the updated methods. These ten fires were re-run to provide estimates of debris flow volumes as post-fire debris flows were documented but no field measurements were published.

Tags: cmhrp, coastal-and-marine-hazards-and-resources-program, erosion, fires, geoscientificinformation, geospatial-datasets, pacific-coastal-and-marine-science-center, pcmsc, physical-habitats-and-geomorphology, sediment-erosion, u-s-geological-survey, usgs, usgs-64beec73d34e70357a31c9e5
Organization: Department of the Interior