AndreaBozzo/ceres-open-data-index huggingface dataset:
Digital elevation models for the Everglades Depth Estimation Network with elevation uncertainty treatment (ver. 2.0, March 2025)

The Everglades Depth Estimation Network (EDEN) produces daily depth estimates for the Greater Everglades. This data release includes geospatial data to produce depth estimates for the EDEN from updated digital elevation models. The data release includes three main types of data: 1) 10-m digital elevation models (DEMs) with elevation uncertainty treatment; 2) 50-m DEMs with elevation uncertainty treatment; and 3) spatial metadata for the DEMs used. These data address elevation error by using Monte Carlo simulations with 1,000 iterations with observations of elevation error in vegetated wetlands and assumptions error in vegetated non-wetland areas and non-vegetated areas. On a per-pixel basis, we created raster surfaces that represented the minimum elevation, maximum elevation, and percentiles (1 to 99). We determined the “best” elevation percentiles for each EDEN zone (Haider and others, 2020) based on the mean bias error, which was calculated for the difference between the USGS high-accuracy elevation dataset (HAED; Jones and Price, 2007) and the DEM.  In this case, the percentile DEM with the mean bias error closest to zero for each zone was selected. All zones were combined to create a seamless mosaic. For each zone, upper and lower elevation estimates were determined based on a general rule that selected the percentile that was the farthest from the “best” percentile but had a mean bias error that was within (+/-) 5 cm. Areas in lower and upper estimate DEMs that have “NoData” values indicate that there was no percentile that could be used to satisfy this rule. For example, a zone may not have a lower estimate if the “best” estimate was the minimum raster. A zone may not have an upper estimate if the next percentile had a mean bias error that was greater than 5 cm. In version 2.0, we resolved issues with overestimation of ground elevation, which led to underestimated water depths, in parts of Water Conservation Areas by using a land cover map and estimated depth at the time of light detection and ranging (lidar) data. For more information, see the processing steps.

Tags: big-cypress-national-preserve, biota, coastal-ecosystem, elevation, everglades, florida, health, south-atlantic, topographic-maps, united-states, usgs-66b66ffcd34eebcf8bb39550, wetland-ecosystem
Organization: Department of the Interior
Temperature observations from portable data loggers and remote environmental weather stations in North Carolina (2015)

Temperature data were collected from ~40 portable data (temperature) loggers and two weather stations located in central North Carolina, USA during August 2015. In addition to temperature, solar radiation and wind speed data were recorded at one of the sites to estimate the effects of these climate variables on sensor bias.

Tags: climate-change, datasets, durham-county, usgs-59cbd8c9e4b017cf314245c4, wake-county
Organization: Department of the Interior
LANDFIRE Remap Fuel Vegetation Height (FVH) Guam Northern Mariana Islands

The LANDFIRE (LF) 2016 Remap (Remap) Fuel Vegetation Height (FVH) represents a modified pre-disturbance version of the Existing Vegetation Height (EVH) product from previous LF versions. LF Remap EVH is mapped as continuous estimates of canopy height for tree, shrub, and herbaceous lifeforms with a potential range from 0m to 50m or more. To translate continuous EVH values into fuel model assignments, EVH values are binned to new groups to improve canopy fuel predictions. FVH leverages fuel transition assignments related to disturbed areas by re-establishing  pre-disturbance vegetation and was developed using the full suite of LF vegetation releases and the most recent 10 years of disturbance data. FVH is a capable fuels product that calculates Time Since Disturbance (TSD) assignments for disturbed areas using an "effective year." For example, year 2020 fuels may be calculated for the year 2020. the new process considers all the existing disturbances included in LF Remap and adjusts the TSD for these to the effective year (2020 in the example), making the products "2020 capable fuels." More information about capable fuels can be found at https://www.landfire.gov/lf_remap.php.

Tags: biota, commonwealth-of-the-northern-mariana-islands, evh, existing-vegetation-height, fires, fuel-vegetation-height, fvh, geographic-information-systems, geospatial-datasets, guam, hazard-preparedness, ia, image-collections, imagerybasemapsearthcover, insular-areas, landfire-2016-remap, lf-2016-remap, oconus, raster-digital-data, remote-sensing, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, usgs-5d07faec-b871-4dab-b3f9-fdaf288ada45
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2016 Site 3169 land-water classification data

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 390 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2016 Color Infrared (CIR) Digital Imagery. These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors. The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition. Three previous assessments have been conducted (2005, 2008, and 2012). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-5b5f5389e4b006a11f66eb19, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Bera M., Over T. M.,2016, Hourly air temperature in degrees Fahrenheit and three digit flag code associated with the data, January 1, 1948 - September 30, 2014

The text file "Air Temperature.txt" contains hourly data and associated flag codes from January 1, 1948, to September 30, 2014. The primary source of the data is the Argonne National Laboratory, Illinois.The first four columns give year, month, day and hour of the observation. Column 5 is the data in degrees Fahrenheit and column 6 is the flag (three digit code). The codes have been created to identify the air temperature data processing. They indicate if the data are original or missing, the method that was used to fill the missing periods, and any other transformations of the data. The codes consist of a three-digit sequence in the form "xyz" that describe the origin and transformations of the data values. The user of the data should consult Over and others (2010) for the detailed documentation of the data codes.   
Reference Cited:  
Over, T.M., Price, T.H., and Ishii, A.L., 2010, Development and analysis of a meteorological database, Argonne National Laboratory, Illinois: U.S. Geological Survey Open File Report 2010-1220, 67 p., http://pubs.usgs.gov/of/2010/1220/.

Tags: air-temperature, argonne-national-laboratory-illinois, dekalb-illinois, dupage-county-illinois, flag, flood, forecasting, hydrology, ohare-international-airport-illinois, runoff, st-charles-illinois, usgs-56f45dbbe4b0f59b85e0bfa1
Organization: Department of the Interior
An Unvegetated to Vegetated Ratio (UVVR) for coastal wetlands of the Gulf of Mexico Coast - 1988

Prior research has shown that sediment budgets, and therefore stability, of microtidal marsh complexes scale with areal unvegetated to vegetated marsh ratios (UVVR) suggesting these metrics are broadly applicable indicators of microtidal marsh vulnerability. This effort has developed the UVVR metric using readily available satellite imagery for the coastal areas of the contiguous United States (CONUS). These datasets provide annual averages of the 1) unvegetated fraction, 2) vegetated fraction, 3) water fraction and 4) an unvegetated to vegetated ratio (UVVR) at 30-meter resolution over the coastal areas of the contiguous United States for the year 1988. Additionally, multi-year average values of vegetated ratio, its standard deviation and a UVVR based on the annually-averaged vegetated ratio are provided for the coastal wetlands of the contiguous United States.

Tags: alabama, coastal-wetlands, conterminous-united-states, florida, fractional-cover, gulf-of-mexico-coast, louisiana, mississippi, texas, unvegetated, unvegetated-to-vegetated-ratio, usgs-66e1cf2fd34ecba8b8677805, uvvr, vegetation, wetland-change, wetland-gain, wetland-loss, wetlands
Organization: Department of the Interior
Imputedsalt_AraBa

The dataset entitled “imputedsalt_AraBa” holds data structures to be relayed to statistical modeling of salinity in near-coastal environments of the Northern Gulf of Mexico. The content therein is created by the ‘covardr2formodel.R’ script that represents terminal decisions on variable setup and transformations). The design ideal is that the content of this directory would be copied to some path of “input” within a model building repository. The table in this directory would be especially suitable for both (1) formal data releases supporting as needed interpretive publications and (2) simultaneous long-term storage as copies within a model building repository in some specific terminal decisions (variable transforms or even dropping of whole data classes by switches in ‘covardr2formodel.R) are reflected in these data and they are a step removed as it were from the “raw” data in the ‘covardr/’ directory.

Tags: aransas-bay, estuary, gulf-of-mexico, modeling, salinity, usgs-6470da0cd34e4e58932d25da
Organization: Department of the Interior
Airborne electromagnetic and magnetic survey data, Silverton, Colorado, 2019 (ver. 2.0)

Airborne electromagnetic (AEM) and magnetic survey data were collected during April and May 2019 along 1,467 line-kilometers in the San Juan-Silverton Caldera complex, Colorado, in the Southern Rocky Mountain Volcanic Field. Data were acquired by Geotech, Ltd. with the versatile time-domain electromagnetic (VTEM-ET) system together with a Geometrics optically pumped cesium vapor magnetometer. The survey was flown at a mean flight height of 140 meters (m) above terrain in various line directions and line spacings ranging from 150 m to 600 m. Multiple variable-spaced lines were flown along rivers and streams in the survey area. USGS provided the contractor with the San Juan National Forest Lidar Point Cloud elevation dataset imported from the USGS National MAP 3D Elevation Program (U.S. Geological Survey, 2019). AEM data were inverted to produce models of electrical resistivity along flight paths.
References:
U.S. Geological Survey, The National Map, 2019, 3DEP products and services: The National Map, 3D Elevation Program Web page, accessed April 2019 at https://nationalmap.gov/3DEP/3dep_prodserv.html
First posted September 16, 2020
Revised August 19, 2022, ver.2.0
Changes in version 2.0:
1. Updated contractor package and raw data to remediate an erroneous calculation of transmitter/receiver altitude.
2. Converted dataset to netCDF format. 
3. Added inverted resistivity models for the entire dataset.

Tags: aeromagnetic-surveying, animas-river, bonita-peak-mining-district, cement-creek, colorado, electromagnetic-surveying, environment, geologic-structure, geology-geophysics-and-geochemistry-science-center, geophysics, geoscientificinformation, geospatial-datasets, gggsc, groundwater, hydrogeology, magnetic-anomaly-maps, magnetic-field, mineral-creek, mineral-resources-program, mrp, resistivity, san-juan-county, san-juan-mountains, silverton, silverton-caldera, southern-rocky-mountains-volcanic-field, u-s-geological-survey, united-states, usgs, usgs-61fc2f97d34e622189cb8997
Organization: Department of the Interior
GNSS locations of seabed images collected at Eastern Dry Rocks coral reef, Florida, 2021

This text file (SQUID5_EDR_2021_Image_Locations.txt) provides the GNSS antenna location for underwater images collected at Eastern Dry Rocks coral reef, near Key West, Florida, in May 2021, using the SQUID5 Structure-from-Motion (SfM) system, a towed-surface vehicle with five downward-looking underwater cameras developed by the U.S. Geological Survey. The GNSS antenna location for the time of each image capture is presented with greater precision than is stored in the individual image's EXIF header due to decimal place limitations of the EXIF format.

Tags: cmhrp, coastal-and-marine-hazards-and-resources-program, eastern-dry-rocks, elevation, geospatial-datasets, global-positioning-system-gps-observations, oceans, pacific-coastal-and-marine-science-center, pcmsc, physical-habitats-and-geomorphology, reef-ecosystems, remote-sensing, seabed, spcmsc, st-petersburg-coastal-and-marine-science-center, state-of-florida, structure-from-motion, u-s-geological-survey, usgs, usgs-546c60f8-e994-4302-a32f-38cf34bc98cf, visible-light-imaging
Organization: Department of the Interior
Migration routes of the Sheldon-Hart Mountain Interstate Pronghorn Herd in Northwestern Nevada and Southeastern Oregon

The Sheldon-Hart Mountain pronghorn (Antilocapra americana) herd is part of a large interstate metapopulation distributed across northwest Nevada, southeast Oregon, and portions of northeast California. Some animals travel up to 100 miles between summer and winter ranges and traverse multiple federal land jurisdictions, including the Sheldon National Wildlife Refuge, Hart Mountain National Wildlife Refuge, and surrounding Bureau of Land Management (BLM) lands.  The herd can be characterized as conditionally or partially migratory with approximately 65% of collared animals exhibiting migratory tendencies. Major summer ranges include portions of the Hart Mountain Wildlife Refuge, Sheldon National Wildlife Refuge, and northern Black Rock Range in Nevada. Winter ranges are distributed across Hart Mountain and east to Catlow Valley, Sage Hen Flats in Oregon and portions of the Sheldon National Wildlife Refuge including Catnip Mountain, Gooch Table, Rock Springs Table, Summit Lake Indian Reservation, northern Calico Mountains.  Challenges to this herd include invasive annual grasses and loss of native shrubs and grasslands, depletion of limited water resources due to severe droughts, and livestock fencing that prohibits efficient movements across the landscape. 
These data provide the location of migration routes for female Pronghorn in the Sheldon-Hart Mountain herd in Nevada and Oregon. They were developed from 79 migration sequences collected from a sample size of 30 animals comprising GPS locations collected every 5-6 hours.

Tags: animal-behavior, lakeview, migration-organisms, migratory-species, oregon, routes, united-states, usgs-620e4b84d34e6c7e83baa3e2
Organization: Department of the Interior
Water chemistry and fish metrics data for adult largemouth bass exposed in outdoor ponds to 17alpha-ethinylestradiol or an estrone-atrazine mixture

Physiological endpoints observed in adult largemouth bass in response to an EE2 (17 alpha-ethinylestradiol) or mixture of estrone and atrazine exposure under laboratory pond conditions. Also included are water quality and chemical concentration data.  Adult LMB were exposed in outdoor pond mesocosms from post-spawning to early gonad recrudescence to either EE2 (2.4 nanograms per liter), or a mixture of endocrine-active substances commonly detected in the Chesapeake Bay watershed, atrazine (5.4 micrograms per liter) and estrone (47.9 nanograms per liter). Male reproductive condition, sperm count, and sperm motility were assessed.

Tags: 17-alpha-ethinylestradiol, acute-toxicity, atrazine, bioassays, biota, ee2, endocrine-disrupting-chemicals, estrogenic-endocrine-disrupting-compounds, estrone, fish, gonads, intersexuality, liver, reproductive-condition, sperm, sperm-motility, sperm-quality, usgs-6398a5d2d34e0de3a1f0d6ac
Organization: Department of the Interior
Effects of Small Dams and Dam Removals on Stream Dissolved Oxygen in Massachusetts, USA

Small, surface-release dams can impair natural stream connectivity by disrupting the flow of water, sediment, nutrients, and biota. Many dams built during the 19th and 20th centuries have exceeded their functional lifespan, and as a result, dam removal has become an increasingly prevalent stream restoration method. However, many streams have not been consistently monitored before and after dam removal, and there is a paucity of information regarding how dam removals affect stream ecosystems across different dam, stream, and landscape characteristics. Therefore, this study aimed to quantify the effects of dams and dam removals on a critical water quality parameter (dissolved oxygen) across 16 Massachusetts streams with completed (10 sites) or upcoming dam removals. We collected continuous dissolved oxygen data for 1-3 years prior to removal and up to 3 years following removal in upstream, downstream, and impounded or formerly impounded reaches. Prior to dam removal, we found lower DO within impoundments compared to upstream reaches but did not find a consistent downstream effect on DO. Within one year following dam removal, DO in impoundments generally recovered to upstream reference conditions. These data suggest that reduced DO caused by small dams may be quickly ameliorated by dam removal, but the extent of recovery may be related to the magnitude of impact prior to removal. An understanding of the factors influencing recovery of stream ecosystems following dam removal may inform our understanding of biotic responses and help set expectations for restoration.

Tags: dam-removal, freshwater-ecosystems, inlandwaters, oxygen-content-water, usgs-632b0c98d34e71c6d67bc071, water-quality
Organization: Department of the Interior
Monthly Aquaculture and Irrigation Water-Use Estimates by Use for the Mississippi Alluvial Plain, 1999-2017

These monthly water-use rasters estimate the total amount of groundwater used for aquaculture and irrigation purposes within the Mississippi Alluvial Plain during the growing season (April-October). This dataset contains 798 monthly water-use rasters for 6 different categories: aquaculture, cotton, corn, rice, soybeans, and all other crops. Units are in cubic meters per square mile.

Tags: alabama, aquaculture-water-use, arkansas, illinois, kentucky, louisiana, mississippi, missouri, remote-sensing, tennessee, texas, usgs-602700ddd34eb12031139658, water-supply-and-demand, water-use
Organization: Department of the Interior
Annual California Sea Otter Census—2018 Spring Census Summary

The spring 2018 mainland sea otter count began on April 26, and was completed by May 24, 2018. Overall viewing conditions this year were good and rounded off to the same conditions experienced during the 2017 spring census (View Score 2.4, where 0=poor, 1=fair, 2=good, 3=very good, and 4=excellent). The surface canopies of kelp (Macrocystis sp.) were considered by most participants to be above normal for this time of year in most areas of the mainland range, and considerably above what was encountered during the 2017 spring census. Sea otters along the mainland coast were surveyed from Pillar Point in San Mateo County in the north to Rincon Point in the south at the Santa Barbara/Ventura County line. A separate ground-based survey of the sea otter population at San Nicolas Island was completed earlier in the spring (April 13–15) under fair to good survey viewing conditions (View Score = 1.5). Surface kelp canopies at San Nicolas Island were estimated to be near the seasonal normal.
These data support the following U.S. Geological Survey Data Series:

Tags: aerial-counts, biota, california, central-california-coastal, distribution, environment, ocean, range, sea-otter-census, sea-otters, shore-counts, southern-california-coastal, usgs-5b9a9e93e4b0d966b485dc8d
Organization: Department of the Interior
Sector Summary of Water Vulnerability in the Western US 2000-2022

For each determinant (attribute) of social vulnerability assessed, this table presents a summary of the number of indicators measured and number of papers (studies) including those indicators in both the agricultural and municipal water-use sectors.

Tags: inlandwaters, social-science, society, usgs-63f79d3bd34e4f7eda45656f
Organization: Department of the Interior
Magnetotelluric data from Mountain Pass, CA, 2015, station mp341

This dataset consists of 65 magnetotelluric (MT) stations collected in 2015 near Mountain Pass, California. The U.S. Geological Survey acquired these data to create a regional conductivity model near the Mountain Pass mine. This work is in support of characterizing mineral deposits.

Tags: apparent-resistivity, california, cenozoic, clark-mountain, earth-magnetic-field, electromagnetic-surveying, geology-minerals-energy-and-geophysics-science-center, geophysics, geoscientificinformation, gmegsc, impedance, ivanpah, magnetotelluric-surveying, magnetotellurics, mescal-ranges, mesozoic, mineral-resources-program, mojave, mountain-pass, mrp, mt, paleozoic, phase, proterozoic, san-bernardino-county, time-series, tipper, usgs-5c81aee0e4b09388244766b9
Organization: Department of the Interior