AndreaBozzo/ceres-open-data-index huggingface dataset:
Boulder Creek Critical Zone Observatory May 9 2010 Snow-On Lidar Survey

Data were collected in collaboration between the National Center for Airborne Laser Mapping (NCALM) project and the Boulder Creek Critical Zone Observatory (CZO), both funded by the National Science Foundation (NSF). The dataset contains 1 m Digital Surface Models (first-stop), Digital Terrain Models (bare-earth), and 10 points/m2 LAS-formated point cloud tiles. The DSMs and DTMs are available in GeoTIFF format with associated shaded relief models. The Digital Terrain Model (DTM) is a ground-surface elevation dataset better suited for derived layers such as slope angle, aspect, and contours. Accessory layers consist of index map layers for point cloud tiles, DEM extent, and flight lines. Other LiDAR DSMs, DTMs, and point cloud data available in this series include snow-off data for 2010. Together, the LiDAR Digital Elevation Models (DEM) and point cloud data will be of interest to land managers, scientists, and others for study of topography, snow, ecosystems and environmental change. The Boulder Creek CZO will be using the LiDAR data to further their mission of focusing on how water, atmosphere, ecosystems, & soils interact and shape the Earth's surface. The "Critical Zone" lies between rock and sky. It is essential to life - including human food production - and helps drive Earth's carbon cycle, climate change, stream runoff, and water quality.Read the FGDC-compliant metadata files that are available for each dataset (in .html, .txt, and .xml formats). These files provide numerous details that may be of interest. Also included are flight lines, survey reports, reference materials, and DEM extent shapefiles.IMPORTANT NOTE: Due to weather and equipment failures the snow-on surveys were flown during 2 different time periods in May, between which there were substantial snow accumulations. Do not combine data from May 5/9, 2010 and May 20/21, 2010.

Organization: OpenTopography
High Resolution Topography of the Central San Andreas Fault, California

The San Andreas fault at Dry Lake Valley data set comprises high-resolution topography and an orthomosaic of part of the creeping central section of the San Andreas fault (SAF) at Dry Lake Valley, California, USA. The data set covers ~3 km of the SAF and ~2.7 km2 area. The data were created using small UAS-derived low-altitude aerial photographs, Structure-from-Motion processing, and georeferencing from dGNSS onboard the sUAS and ground control points.  The motivation for producing the data set was to difference the topography against EarthScope LiDAR of the area collected ten years earlier, in 2007, to measure strain along and across strike of the fault (Scott et al., in review). The study site was chosen because it is the location of a previous paleoseismology study (Toke et al., 2015), and creep-induced fracturing was mapped in detail at the location in 2014 and used to infer deformation rate localized on the fault (Scott et al., in review). 

Organization: OpenTopography
El Mayor-Cucapah Earthquake, Pleiades 2014

Point cloud data (in 2 sections) from 2 tri-stereo data sets of 0.5 m resolution, panchromatic Pleiades 1B images acquired by Airbus on 17 March 2014 and funded by the Natural Environment Research Council (NERC), UK through the Looking inside the Continents from Space (LiCS) large grant (NE/K011006/1). The images were processed using the LPS module of the ERDAS Imagine 2013 software (version 13.00.00, Build 281). A pixel-by-pixel matching procedure was implemented with a window size of 5-by-5 pixels and a correlation coefficient of 0.3 to 0.7.  The point cloud covers an approximately 45 km long section of the epicentral area of the 2010 El Mayor-Cucapah earthquake in Mexico. Vertical displacements were determined by differencing the Pleiades topography and the pre-earthquake LiDAR DEM. For further details see: Zhou, Y., B. Parsons, J. R. Elliott, I. Barisin, and R. T. Walker (2015), Assessing the ability of Pleiades stereo imagery to determine height changes in earthquakes: A case study for the El Mayor-Cucapah epicentral area, J. Geophys. Res. Solid Earth, 120, 8793â8808, doi:10.1002/2015JB012358.

Organization: OpenTopography
Israel's Mediterranean Sharon sea cliff, 2006

Israel's 200-km long Mediterranean coast line consists of ~70 km of late Quaternary eolianite sea cliffs that reach up to 50 m above sea level and are actively retreating landwards at time-averaged rates of up to 0.1 m/yr. This dataset covers a 30-km-stretch of coastal cliffs in central Israel that lie between the cities of Herzlia in the south and Olga in the north. The data were acquired in 2/2006 at a sampling density of 0.25 pts per square meter and are being used to study and monitor sea cliff retreat processes in the eastern Mediterranean.

Organization: OpenTopography
Corpus Cristi, TX: Influence of Dunes & Barrier Islands on Hurricane Surge

NCALM Seed. PI: Celso Ferreira, Texas A&M University. The survey area consists of a long rectangular polygon located on the Gulf Coast 25 kilometers east of Corpus Christi, TX. Lidar data were collected to investigate the influence of dunes and barrier islands on hurricane surge in Corpus Christi, Texas.

Organization: OpenTopography
Lawrenceville, IL: Detecting Tectonically Deformed Shorelines

NCALM Seed. PI: Darryl Granger, Purdue University. The survey area contains seven polygons located 10 km west and 7 kilometers north of Lawrenceville, Illinois. This area was flown and completed on October 1, 2005 and covers an area of 72 square kilometers.

Organization: OpenTopography
2019 Ridgecrest, CA  Pre-Earthquake Digital Surface Model

This digital surface model (DSM) data set is a mosaic of 2 m resolutions stereogrammetric DSMs acquired prior to the July 2019 Ridgecrest, California earthquake sequence. The DSMs were constructed using the open-source software package SETSM (https://mjremotesensing.wordpress.com/setsm/ (Noh and Howat, 2015)) produced using DigitalGlobe Inc. base imagery (©DigitalGlobe 2018).   73 DSM strips were vertically registered to ICESat-1 observations during the mosaicking process (see metadata file for RMS fits to ICESat-1). The base images are ~0.5 m resolution in-track stereo panchromatic imagery from the Worldview-01 and -02 and GeoEye-01 satellites that remain the property of DigitalGlobe Inc.   Processing Groups:     Michael J. Willis, CIRES, University of Colorado, Boulder.   Ryan Cassotto, CIRES, University of Colorado, Boulder.  James Klassen, SharedGeo.  This work is supported by award numbers: F18AC00807F and F18AC00038   Jennifer Corcoran, Minnesota Department of Natural Resources.    This work is supported by USFS LSR grant number: 17-DG-11420004-273.	  Trevor Host, University of Minnesota.  Brian Huberty, US Department of Fish and Wildlife.  This work is supported by a FWS GLRI award.  Keith Pelletier, University of Minnesota.  Joseph F. Knight, University of Minnesota.  

Organization: OpenTopography
Yosemite Rim Fire, Smithsonian Forest lidar 2013

The Rim Fire started on August 17, 2013 in a remote area of the Stanislaus National Forest near the confluence of the Clavey and Tuolumne Rivers about 20 miles east of Sonora, California. The Rim Fire burned 257,314 acres, including 154,530 acres of National Forest System (NFS) lands, becoming the third largest wildfire in California history. - Stanislaus National Forest  The requested survey area consisted of a single irregular polygon of approximately 1500 km2, located west of Yosemite Valley in California. The polygon covered the Yosemite Rim fire that occurred in fall 2013.  Two flight strips were flown with full waveform data collection. A smaller polygon (Smithsonian forest plot) north of Crane Flat Fire lookout, within the larger area, was collected at a higher point density and full waveform.  Full Waveform Data

Organization: OpenTopography
Marlborough Fault System, South Island, New Zealand

Collaborative Research: Towards an Understanding of the Collective Behavior of Regional Fault Networks: The Marlborough Fault System, New Zealand (James F. Dolan, PI, University of Southern California). This project was a collaborative effort between PI Dolan (USC) and co-I Ed Rhodes (UCLA) and New Zealand collaborators Russ Van Dissen and Rob Langridge of GNS Science.    The survey area consists of a total of 254 km of fault-parallel, predominantly ~1.2-km-wide swaths along parts of the four main right-lateral strike-slip faults that comprise the Marlborough Fault System, in the northwestern portion of New Zealand's South Island. The five fault segments surveyed include sections of the eastern and western parts of the Clarence fault, the central part of the Awatere fault, the central part of the Wairau fault, and part of the eastern (Conway) segment of the Hope fault. These lidar data facilitated detailed analysis of fault offsets along the four main MFS faults, as well as mapping of small displacements that have occurred in recent earthquakes on Marlborough faults in unprecedented detail, the geomorphic development and evolution of fluvial terraces crossing these faults, and the progressive geomorphic manifestation of off-fault deformation with increasing fault displacement. The data were analyzed by the PIs, our New Zealand collaborators, and three graduate students at USC (Robert Zinke, Alexandra Hatem, and Jessica Grenader), and one graduate student at UCLA (Chris McGuire [supervised by Co-I Ed Rhodes]); their results will form major parts of their graduate theses. The lidar data were collected by U.S. National Center for Airborne Laser Mapping (NCALM) personnel using an aircraft and flight personnel subcontracted from New Zealand Aerial Mapping. The data were collected with a combination of NCALM's Optech GEMINI sensor (operated at a laser pulse frequency of 125 kHz in multi-pulse mode, at a nominal height above ground of 1400 m) and NZAM's  Optech 3100A sensor (operated at a laser pulse frequency of 70-100 kHz at various heights depending on terrain). Shot density is &ge; 12 shots/m2.  The lidar data were utilized in our studies of the incremental slip-rate record of the four main Marlborough faults. The lidar data also provided a means of mapping small displacements that have occurred in recent earthquakes on Marlborough faults in unprecedented detail, the sedimentological development and geomorphic evolution of fluvial terraces crossing these faults, and the progressive geomorphic manifestation of off-fault deformation with increasing fault displacement (see Zinke et al., 2015 Geology for a discussion of this latter topic [doi:10.1130/G37065.1]).

Organization: OpenTopography
2019 Ridgecrest, CA M7.1 Earthquake structure from motion data (off base)

Structure from Motion point cloud of the M 7.1 earthquake in Ridgecrest, California generation from DJI Phantom 4 drone imagery.  For more details on this dataset refer to the paper: 
Ian Pierce, Alana Williams, Richard D. Koehler, Colin Chupik; High&#8208;Resolution Structure&#8208;From&#8208;Motion Models and Orthophotos of the Southern Sections of the 2019 Mw 7.1 and 6.4 Ridgecrest Earthquakes Surface Ruptures. Seismological Research Letters doi: https://doi.org/10.1785/0220190289

Organization: OpenTopography
Durham, NH: Hyporheic Zone Extent and Exchange in a Coastal Stream

NCALM Seed Project PI: Danna Truslow, University of New Hampshire. The survey area is an irregular polygon approximately 16 km West of Portsmouth, NH and enclosing 42.5 square kilometers. The data were collected to study hyporheic zone extent and exchange in a coastal New Hampshire stream using heat as a tracer.

Organization: OpenTopography
White Canyon and Hite, Lake Powell, Utah

NCALM Seed: Jim Evans, Utah State University. The survey area consisted of an irregular polygon, 92 square kilometers, located on Lake Powell at White Canyon and Hite, Utah. Data were collected from February 17, 2005 to February 23, 2005.  Bare-earth extraction was not performed on this dataset due to the scarceness of vegetation in the interest area.

Organization: OpenTopography
Tender Foot, MT: Hydrological Processes on Hill Slopes

PI: Mrian McGlynn, Montana State University. The survey area consists of a115 square kilometers located 9 kilometers west of Neihart, Montana. This area was flown and completed on September 19, 2005. Data were collected to investigate hydrological processes on hillslopes in the Tenderfoor Creek, Montana area.

Organization: OpenTopography
Yosemite National Park: Poopenaut Valley and Wawona

NCALM Project. PI: Greg Stock, National Parks Service. The areas of interest are defined by three irregular polygons: Poopenaut, Wawona, and Wawona flood plain located in Yosemite National Park. The polygons are located approximately 110 km east of Modesto, CA and 115 km north of Fresno, CA.

Organization: OpenTopography
Mojave Desert, CA: Precariously Balanced Rocks in Seismic Hazard Analysis

NCALM Seed. Jonathan Harvey, University of California, Santa Barbara. The survey area is defined by a 45 square kilometer rectangular polygon located along Interstate 40 between Daggett and Needles in the Mojave Desert of California (~110 km east of Daggett). Ground classification was not performed on these data per PI request. The project area had sparse vegetation and extremely steep cliffs and canyons.

Organization: OpenTopography
Hexafluoropropylene oxide-dimer acid (HFPO-DA or GenX) alters maternal and fetal glucose and lipid metabolism and produces neonatal mortality, low birthweight, and hepatomegaly in the Sprague-Dawley rat Dataset

Complete summary data (mean, error, sample size) for all figures and tables associated with the present manuscript, which characterizes maternal, fetal, and neonatal effects of oral exposure to HFPO-DA (GenX) during gestation in the Sprague-Dawley rat . 

This dataset is associated with the following publication:
Conley, J., C. Lambright, N. Evans, J. McCord, M. Strynar, D. Hill, E. MedlockKakaley, V. Wilson, and E. Gray. Hexafluoropropylene oxide-dimer acid (HFPO-DA or GenX) alters maternal and fetal glucose and lipid metabolism and produces neonatal mortality, low birthweight and hepatomegaly  in the Sprague-Dawley rat.   ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam,  NETHERLANDS, 146: 106204, (2021).

Tags: developmental-toxicity, genx, hfpo-da, polyfluorinated-alkyl-substances-pfas
Organization: U.S. Environmental Protection Agency
Coastal Dune Fields of Garopaba and Vila Nova, Santa Catarina State, Brazil

PI: Carlos H. Grohmann, University of Sao Paulo, Brazil. Data covers a 10 square kilometer area of two coastal dune fields (Garopaba and Vila Nova) in southern Brazil and was collected October 18, 2010. The purpose of the survey was to investigate the morphometry and evolution of coastal dune fields.

Organization: OpenTopography
Multi-scale availability of neonicotinoid-treated seed for wildlife in an agricultural landscape during spring planting

Neonicotinoid pesticides are applied to seeds and are known to cause lethal and sub-lethal effects in birds and mammals. Neonicotinoid-treated seeds could be available to wildlife through spillage or exposed seeds near or at the soil surface due to incomplete or shallow drilling. We quantified seed spills that may occur during loading or refilling the hopper at a landscape-scale using road-based surveys. We also quantified undrilled seeds in 1-m2 frames on the soil in the center and corner of fields to obtain estimates at the field scale. We broadcast seeds on the soil surface of a tilled field and left them for 0, 1, 2, 4, 8, 16, and 30 days to quantify neonicotinoid decrease under field conditions. Lastly, we documented wildlife at neonicotinoid-treated seed spills with trail cameras. We estimated the number of spills during planting to be 3,496 (95%CI: 1,855–5,138) and 2,609 (95%CI: 862–4,357) for corn, 11,009 (95%CI: 6,950–15,067) and 21,105 (95%CI: 6,162–36,048) for soybean, and 830 (95%CI: 160–1,500) and 791 (95%CI: 0–1,781) for wheat in 2016 and 2017, respectively. Exposed seeds were present at the soil surface in 35% of 71 fields. The probability that seeds were present on the soil surface was higher for soybeans (18.8 and 49.4% in the center and corners, respectively) than for corn (1.6 and 2.7%, respectively), and seed densities were also higher (1.04 vs 0.07 seeds/m2, respectively). Neonicotinoids decreased rapidly on seeds on the soil surface but persisted as long as 30 days. Over a dozen species of birds and mammals consumed seeds at simulated spills, with an average time for birds to find spills of 1.3 ± 1.5 days and an average time to consumption of 4.1 ± 3.4 days. Seeds are abundant on the soil surface for wildlife to consume during the spring planting season and should be considered in pesticide risk assessments. This dataset is not publicly accessible because: These data were generated by a non-EPA entity and that entity prefers to provide the data to the public using their procedures. A point of contact is provided in this record. It can be accessed through the following means: Please contact the primary author for these data. Dr. Charlotte Roy of the Minnesota Department of Natural Resources. 
Email address: charlotte.roy@state.mn.us. Format: The data are housed in Excel spreadsheets. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.

Tags: agriculture, birds, mammals, midwestern-united-states, neonicotinoids, pesticide, treated-seeds
Organization: U.S. Environmental Protection Agency
Data File for iAs Dose-response Manuscripts - Data files used in preparing four manuscripts describing dose-response methods that have been developed for the purposes of the EPA inorganic arsenic IRIS health assessment.

These datasets contain information used in support of tables, figures and conclusions made in four manuscripts related to EPA methods developed for the dose-response analysis of epidemiological studies of arsenic health effects. 

This dataset is associated with the following publications:
Hobbie, K., K. Shao, C. Henning, W. Mendez, Jr, J. Lee, I. Cote, I. Druwe, A. Davis, and J. Gift. Use of study-specific MOE-like estimates to prioritize health effects from chemical exposure for analysis in human health assessments.   ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam,  NETHERLANDS, 144: 1-14, (2020).
Mendez, W., K. Shao, J. Lee, I. Cote, I. Druwe, A. Davis, and J. Gift. Model Averaging Methods for the Evaluation of Dose-Response Model Uncertainty When Assessing the Suitability of Studies for Estimating Risk.   ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam,  NETHERLANDS, 143: 1-11, (2020).
Allen, B., K. Shao, K. Hobie, W. Mendez Jr, J. Lee, I. Cote, I. Druwe, J. Gift, and A. Davis. Systematic dose-response of environmental epidemiologic studies: Dose and Response Pre-Analysis.   ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam,  NETHERLANDS, 142: 105810, (2020).
Allen, B., K. Shao, K. Hobbie, W. Mendez Jr, J. Lee, I. Cote, I. Druwe, J. Gift, and A. Davis. Bayesian Hierarchical Dose-response Meta-analysis  of Epidemiological Studies : Modeling and Target Population Prediction Methods.   ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam,  NETHERLANDS, 145: 106111, (2020).

Tags: dose-response, inorganic-arsenic
Organization: U.S. Environmental Protection Agency
Stromboli Volcano (Vents & Sciara del Fuoco): Italy, September 10, 2018

Point Cloud and DEM of Stromboli Volcano
Coverage includes the summit, all vents, and the Sciara del Fuoco including the 2002 lava flow
Created using Agisoft Metashape Pro (v1.5.1)
Images collected by sUAS
sUAS: DJI M210
Camera: DJI Zenmuse X4S
Images: 458 photographs (available upon request)

Organization: OpenTopography
Big Sky, MT: Patterns of Nitrogen Export & Land Use Change

PI: Kristin Gardner, Montana State University. The survey area is a 249 square kilometer irregular polygon located 21 kilometers west of Big Sky, Montana. Seven flights were made beginning on September 20, 2005 and completing on September 25, 2005. Data were collected to investigate spatial and temporal patterns of nitrogen export and land use change in a mountainous watershed.

Organization: OpenTopography
Small Scale MBR Monitoring Data

Real-time measurements of on-line parameters to assess water quality after treatment with a membrane bioreactor. 

This dataset is associated with the following publication:
Leow, A., J. Burkhardt, W. Platten III, B. Zimmerman, N. Brinkman , A. Turner, R. Murray , G. Sorial, and J. Garland. Application of the CANARY Event Detection Software for Real-Time Performance Monitoring in Water Reuse Systems.   Environmental Science: Water Research & Technology. Royal Society of Chemistry, Cambridge,  UK, 3(2): 224-234, (2017).

Tags: canary, event-detection-software, water-reuse
Organization: U.S. Environmental Protection Agency
Schoen et al 20xx_Data Set

Human-associated genetic marker concentrations in raw sewage. 

This dataset is associated with the following publication:
Schoen, M.E., A.B. Boehm, J. Soller, and O. Shanks. Contamination Scenario Matters when Using Viral and Bacterial Human-Associated Genetic Markers as Indicators of a Health Risk in Untreated Sewage-Impacted Recreational Waters.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 54(20): 13101–13109, (2020).

Tags: crassphage, hf183, microbial-source-tracking, quantitative-microbial-risk-assessment
Organization: U.S. Environmental Protection Agency
PMF source apportionment model dataset inputs and outputs for 9 northwest monitoring sites with data from 2007 to 2018.

PMF source apportionment model dataset inputs and outputs for 9 northwest monitoring sites with data from 2007 to 2018. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.

Tags: air-quality, pacific-northwest, pm2-5, pmf, source-apportionment
Organization: U.S. Environmental Protection Agency