AndreaBozzo/ceres-open-data-index huggingface dataset:
Coastwide Reference Monitoring System (CRMS) 2005, 2008, 2012, and 2015 Site 5992 Land-Water Matrix

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 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.  This dataset consists of a matrix of four land-water products (2005, 2008, 2012, and 2015).  The resulting matrix has 16 possible classes defined by the combination of land and water categories on those four dates.

Tags: cartography, coastal, crms, doqq, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, state-of-louisiana, usgs-593878c2e4b0764e6c5d6d01, wetland
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2015 Site 0694 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 2015 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: cartography, coastal, crms, doqq, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, state-of-louisiana, usgs-59387678e4b0764e6c5d6c4b, wetland
Organization: Department of the Interior
Historical data sets including inorganic and organic chemistry of water, oil, and sediments, aquifer hydraulic conductivity, and sediment grain size distribution at the National Crude Oil Spill Fate and Natural Attenuation Research Site near Bemidji, Minnesota, USA, 1984-2010 (ver 2.0, September 2019)

This U.S. Geological Survey (USGS) Data Release provides analytical data from samples and measurements completed at the National Crude Oil Spill Fate and Natural Attenuation Research Site near Bemidji, Minnesota (Site) between 1984 and 2010.  Included are inorganic and organic chemistry data from water, oil, and sediment samples,  hydraulic conductivity data from well slug tests, and sediment grain-size distribution data from core samples. Most of these data sets have been described in previously published peer-reviewed reports, however the tabular data sets were not available with these publications.  This data release provides the data in a tabular, database-ready format.  Each result value in the data sets is coded to describe the kind of sample collected, the material that was analyzed, the method of analysis, and the publication where the value was originally published.  Some sample codes are taken from the U.S. Geological Survey's National Water Information System (NWIS, https://waterdata.usgs.gov/nwis) and the remaining codes were developed specifically for Site data.  Data dictionaries containing code definitions are available at a companion data release titled "Sampling site information, well construction details, and data dictionaries for data sets associated with the National Crude Oil Spill Fate and Natural Attenuation Site near Bemidji, Minnesota", available at https://doi.org/10.5066/F7736PDR.   
In 1979, a high-pressure pipeline carrying crude oil burst near the city of Bemidji, Minnesota  and spilled approximately 1.7 million liters (10,700 barrels) of crude oil into glacial outwash deposits.  Since 1983, scientists with the U.S. Geological Survey, in collaboration with scientists from academic institutions, industry, and the regulatory community have conducted extensive investigations of multiphase flow and transport, volatilization, dissolution, geochemical interactions, microbial populations, and biodegradation with the goal of providing an improved understanding of the natural processes limiting the extent of hydrocarbon contamination.  Long-term field studies at Bemidji have illustrated that the fate of hydrocarbons evolves with time, and a snap-shot study of a hydrocarbon plume may not provide information that is of relevance to the long-term behavior of the plume during natural attenuation.  The research at the site has been supported primarily by the U.S. Geological Survey's Toxic Substances Hydrology Program.

Tags: biodegradation, contaminant-transport, contamination-and-pollution, crude-oil-spill, environmental-health, geochemistry, groundwater-quality, hydrogeology, source-zone-natural-attenuation, usgs-59011883e4b0c2e071a84d0f, water-quality
Organization: Department of the Interior
Robert Fire Montana Tailed Frog Data_2001-2015

The data represent counts of Rocky Mountain Tailed Frog larvae from 8 streams in Glacier National Park, Montana. Each stream was surveyed during 5 different years. We originally sampled the eight streams during June 2001 to evaluate a time-constrained method for potential inclusion in a monitoring program. We sampled streams by turning rocks and disturbing the substrate in front of D-frame nets for 250 min, with surveyors moving progressing upstream. Surveyors focused on areas of optimal habitat (e.g., turbulent water, coarse substrates) to increase the likelihood of capturing larvae. Two surveyors sampled simultaneously for 5-min each (making one 10-min period) and called out captures to a data recorder. Surveyors alternated roles every five sampling periods. We excluded juveniles and adults from analyses because they use stream and forest habitats and are not sampled efficiently. After the 2003 fire burned four of the watersheds, we resurveyed the eight streams during 2004 and 2005 to evaluate the near-term effects of wildfire and again in 2014 and 2015 to evaluate population recovery. We used the same sampling methods and approximate starting point in each stream, each year. All surveys were conducted after the peak of runoff.

Tags: amphibians, ascaphus, climate-change, disturbance, fires, glacier-national-park, herpetology, montana, population-synchrony, spatial-autocorrelation, stream, usgs-58ffd91fe4b0e85db3a46d57
Organization: Department of the Interior
Supplementary Data for Method for Quantifying Cloud Immersion in a Tropical Mountain Forest Using Time-Lapse Photography

These data are supplementary to the journal article Bassiouni, M., Scholl, M.A., Torres-Sanchez, A.J., Murphy, S.F., 2017, A Method for Quantifying Cloud Immersion in a Tropical Mountain Forest Using Time-Lapse Photography, Agricultural and Forest Meteorology, in press. The data set includes cloud immersion frequency, mean temperature, relative humidity and dew point depression values for five sites, representing Figures 7a and 7b in the article, and values used to calculate the averages shown in Table 2.  The results cover the time period from March 2014 to May 2016.  A list of validation image filenames with their classifications and the set of 7360 validation images for the method are also provided.

Tags: cloud-observations, forest-ecosystems, image-analysis, usgs-58ffa40ae4b0e85db3a46c40, water-resources
Organization: Department of the Interior
Spatial data set of mapped water-level changes in the High Plains aquifer, predevelopment (about 1950) to 2015

The High Plains aquifer extends from south of about 32 degrees to almost 44 degrees north latitude and from about 96 degrees 30 minutes to 106 degrees west longitude. The aquifer underlies about 175,000 square miles in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming. This dataset consists of a raster of water-level changes for the High Plains aquifer, predevelopment (about 1950) to 2015. This digital dataset was created using water-level measurements from 3,092 wells measured in both the predevelopment period (about 1950) and in 2015, the latest available static water level measured in 2011 to 2014 from 72 wells in New Mexico and Wyoming, and using other published information on water-level change in areas with few water-level measurements. The map was reviewed for consistency with the relevant data at a scale of 1:1,000,000.

Tags: aquifers, colorado, geoscientificinformation, great-plains, ground-water, groundwater, high-plains, high-plains-aquifer, inlandwaters, kansas, nebraska, new-mexico, ogallala-aquifer, oklahoma, south-dakota, texas, usgs-58ff75a2e4b006455f2d6327, water-level-change, wyoming
Organization: Department of the Interior
Spatial data set of mapped water-level changes in the High Plains aquifer, 2013 to 2015

The High Plains aquifer extends from south of about 32 degrees to almost 44 degrees north latitude and from about 96 degrees 30 minutes to 106 degrees west longitude. The aquifer underlies about 175,000 square miles in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming. This dataset consists of a raster of water-level changes for the High Plains aquifer, 2013 to 2015. This digital dataset was created using water-level measurements from 7,529 wells measured in both 2013 and 2015. The map was reviewed for consistency with the relevant data at a scale of 1:1,000,000.

Tags: aquifers, colorado, geoscientificinformation, great-plains, ground-water, groundwater, high-plains, high-plains-aquifer, inlandwaters, kansas, nebraska, new-mexico, ogallala-aquifer, oklahoma, south-dakota, texas, usgs-58ff757ee4b006455f2d6325, water-level-change, wyoming
Organization: Department of the Interior
Supplemental water-level change data used to substantiate the map of water-level changes in the High Plains aquifer, predevelopment (about 1950) to 2015

The High Plains aquifer extends from south of about 32 degrees to almost 44 degrees north latitude and from about 96 degrees 30 minutes to 106 degrees west longitude. The aquifer underlies about 175,000 square miles in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming. This digital data set is the supplemental water-level measurements from 1,897 wells located in Colorado, Kansas, Nebraska, Oklahoma, South Dakota, or Texas and measured in various time periods, which were used to historical water-level change values for predevelopment to 2011 to 2014 and approximate water-level change values from predevelopment to 2015 to substantiate the map of water-level changes, predevelopment (about 1950) to 2015. The water-level measurements and the calculated historical water-level change values are (1) 219 wells measured in predevelopment and in 2014, but not measured in 2015, which are used to calculate water-level change, predevelopment to 2014, (2) 135 wells measured in predevelopment and in 2013, but not measured in 2014 or 2015, which are used to calculate water-level change, predevelopment to 2013, (3) 94 wells measured in predevelopment and in 2012, but not measured in 2013, 2014, or 2015, which are used to calculate water-level change, predevelopment to 2012, and (4) 57 wells measured in predevelopment and in 2011, but not measured in 2012, 2013, 2014, or 2015, which are used to calculate water-level change, predevelopment to 2011. One of two sets of water-level measurements used to calculate an approximate water-level-change values from predevelopment to 2015 are from 302 wells that are located in the areas where water level declines from predevelopment to 1980 (Luckey and others, 1981; Cederstrand and Becker, 1999) were 50 feet or more and were measured in 1980 and in 2015, but not measured in the predevelopment period. For these wells, approximate water-level change is calculate as the beginning contour interval from the map of water-level change, predevelopment to 1980 plus water-level change from 1980 to 2015. The second set of water-level measurements used to calculate approximate water-level change are from 1,090 wells that were measured on or before 6/15/1978 (termed post-development) and in 2015, but not in the predevelopment period. For these wells, approximate water-level change, predevelopment to 2015, is calculate as the water level, 2015, minus water level, post-development.

Tags: aquifers, colorado, geoscientificinformation, great-plains, ground-water, groundwater, high-plains, high-plains-aquifer, inlandwaters, kansas, nebraska, new-mexico, ogallala-aquifer, oklahoma, south-dakota, texas, usgs-58ff7547e4b006455f2d6323, water-level-change, wyoming
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2005, 2008, 2012, and 2015 Site 6302 Land-Water Matrix

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 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.  This dataset consists of a matrix of four land-water products (2005, 2008, 2012, and 2015).  The resulting matrix has 16 possible classes defined by the combination of land and water categories on those four dates.

Tags: cartography, coastal, crms, doqq, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, state-of-louisiana, usgs-593878d5e4b0764e6c5d6d05, wetland
Organization: Department of the Interior
Nashoba_Terrane_bedrock_well_yield_and_ancillary_data_and_lineaments

This data release contains well yield and ancillary data for 7,287 bedrock wells used in an analysis of bedrock well yield in the Nashoba Terrane and surrounding area in eastern and central Massachusetts. The data release also contains Geographic Information System (GIS) data layers of lineaments delineated from aerial photographs and digital elevation data for a part of the Nashoba Terrane study area. Ancillary data consist of well depth; bedrock geology, surficial geology, topographic setting, and wetlands at the well location; distance of the well to hydrologic and geologic features; and distance of the well to lineaments. The data were interpreted in U.S. Geological Survey Scientific-Investigations Report 2012-5155, and a data layer of estimated well yield in 200 by 200 meter grid cells throughout the Nashoba Terrane and surrounding area, based on kriging of yield data from the 7,287 wells, is included in the data release. 
The data release contains 4 separate items: 
1. Well yield and ancillary data for 7,287 bedrock wells 
2. Well locations 
3. Lineaments in a part of the study area 
4. Estimated bedrock well yield from kriging of well yield data 
These data are associated with the following publication: DeSimone, L.A., and Barbaro, J.R., 2012, Yield of bedrock wells in the Nashoba terrane, central and eastern Massachusetts: U.S. Geological Survey Scientific Investigations Report 2012-5155, 74 p., available at http://pubs.usgs.gov/sir/2012/5155

Tags: groundwater, hydrogeology, usgs-58fe5992e4b0f87f0854b103, water-supply-and-demand
Organization: Department of the Interior
Serum biochemistries of Pacific black brant

The data set contains results for nine serum biochemistries in molting Pacific black brant (Branta bernicla nigricans). These data were used to calculate reference intervals (sometimes referred to as normal values) for the nine serum biochemistries. All brant were after-hatch year. All samples were collected in 2006 and 2007 in the Teshekpuk Lake Special Area, Alaska.

Tags: alaska, arctic-coastal-plain, blood-samples, serum-biochemistry, teshekpuk-lake-special-area, usgs-58fe5581e4b0f87f0854b0d9
Organization: Department of the Interior
Middle Rio Grande Multitemporal Land Cover Classifications - 1935, 1962, 1987, 1999, and 2014

Riparian ecosystems are valuable to the ecological and human communities which depend on them. Over the past century, they have been subject to shifting management practices to maximize human use and ecosystem services, creating a complex relationship between water policy, management, and the natural ecosystem. This has necessitated research on the spatial and temporal dynamics of riparian vegetation change. The San Acacia Reach of the Middle Rio Grande has experienced multiple management and river flow fluctuations, resulting in threats to its riparian and aquatic ecosystems. This research uses remote sensing data, GIS, a review of management decisions, and an assessment of climate to quantify how riparian vegetation has been altered over time. This research focused on four management phases from 1935-2014, each highlighting different management practices and climate-driven river patterns, providing unique opportunities to observe a direct relationship between river management, climate, and riparian response. A land cover classification was created for each date constraining the management phases, 1935, 1962, 1987 (twice), 1999, and 2014. The 1935, 1962, and first 1987 classifications were produced by digitizing aerial imagery. The second 1987 classification, 1999, and 2014 classifications were created using a Classification and Regression Tree (CART) model. This metadata file pertains to the overall data release.

Tags: climate-fluctuations, gis, land-change, middle-rio-grande-mrg, new-mexico, remote-sensing, riparian-vegetation, river-management, san-acacia-reach-sar, united-states-u-s, usgs-58fe18eee4b0f87f0854ad3f
Organization: Department of the Interior
Surficial sediment data on the North Fork Stillaguamish River and State Route 530 landslide near Oso, Washington

These tables document grain-size distributions of sediment collected as part of a study on the geomorphic impacts of the March 2014 State Route 530 Landslide near Oso, Washington. This includes samples of material from the landslide deposit itself, covering a range of distinct facies present in the landslide, and samples of sand and gravel at various locations along the North Fork Stillaguamish River both upstream and downstream of the landslide. Grain size distributions of landslide material were distinguished between outwash material, till, and lacustrine material, distinct facies all present in the landslide deposit. Material coarser than 4-16 mm (sample dependent) was sieved and weighed in the field, and fine material was retained and analyzed at the Cascade Volcanoes Observatory Sediment lab. Bulk densities were measured for a subset of the samples. Grain size data for the North Fork Stillaguamish was collected via surficial pebble counts. All samples from 2014 and 2015 were collected by USGS. All samples prior to 2014 were collected by the Stillaguamish Tribe of Indians and provided to the USGS.

Tags: grain-size, landslide, oso, pebble-count, state-route-530, usgs-58fe1676e4b0f87f0854acd7
Organization: Department of the Interior
Shotpoint navigation at a 500-shot interval for chirp seismic-reflection data collected in 2012 by the U.S. Geological Survey in the Connecticut River during field activity 2012-024-FA (Point Shapefile)

A geophysical and geological survey was conducted at the mouth of the Connecticut River from Old Saybrook to Essex, Connecticut, in September 2012. Approximately 230 linear kilometers of digital Chirp subbottom (seismic-reflection) and 234-kilohertz interferometric sonar (bathymetric and backscatter) data were collected along with sediment samples, riverbed photographs, and (or) video at 88 sites within the geophysical survey area. Sediment grab samples were collected at 72 of the 88 sampling sites, video was acquired at 68 sites, and photographs of the river bottom were taken at 38 sites. These survey data are used to characterize the riverbed by identifying sediment-texture and riverbed morphology. More information can be found on the web page for the Woods Hole Coastal and Marine Science Center field activity: https://cmgds.marine.usgs.gov/fan_info.php?fan=2012-024-FA. Data collected during the 2012 survey can be obtained here: https://doi.org/10.5066/F7PG1Q7V.

Tags: atlantic-ocean, chirp, cmgp, coastal-and-marine-geology-program, connecticut, connecticut-river, edgetech-424, essex, estuary, field-activity-2012-024-fa, field-activity-number-12024, location, long-island-sound, marine-geology, marine-geophysics, navigation-shotpoint, navigational-data, north-america, oceans, old-saybrook, r-v-rafael, river, river-bed, riverbed, sea-floor, seafloor, seismic-methods, seismic-navigation, seismic-reflection, seismic-reflection-methods, sub-bottom-profiling, subbottom, subsurface, u-s-geological-survey, united-states, usgs, usgs-58fb0c64-1ff5-4b95-90a9-96b58be82090, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior