AndreaBozzo/ceres-open-data-index huggingface dataset:
Seasonal Atmospheric Nitrate and Ammonium Deposition along an Elevation Gradient in the Colorado Front Range using Ion Exchange Resin Columns (2018-2019)

Atmospheric deposition of reactive nitrogen (Nr) due to human activities can have measurable effects on ecosystem processing and export of nutrients, groundwater and surface-water quality. Rates of Nr deposition to lower-elevation forests immediately adjacent to the Denver/Boulder urban area, however, have only recently been measured. The focus of this study was to determine the extent of urban and agricultural N pollution transport to the Colorado Front Range. In conjunction with the Network for Urban Atmospheric Nitrogen Chemistry (NUANC) and the National Atmospheric Deposition Program (NADP), we measured wet-plus-dry Nr deposition and evaluated spatial and seasonal variations in N deposition along an elevational gradient (1603 to 3159 meters) from plains to subalpine ecosystems west of Boulder, Colorado. Ion-exchange-resin (IER) columns with attached collector funnels were deployed at 5 locations along the elevational gradient during spring, summer and fall seasons to measure bulk (wet-plus-dry) N deposition. IER columns were collected at ~2-month intervals in 2018 and 2019 then extracted with KCl and analyzed for nitrate plus nitrite and ammonium concentrations. Results were blank corrected using sealed field IERs deployed to measure potential contamination due to handling. The mass of nitrogen species on the column was calculated and normalized to mass per unit area per day using the surface area of the funnel opening. Snow buckets were employed periodically during the winter to obtain estimates of deposition during snow falls. Results were normalized to mass per unit area per day using the surface area of the snow bucket opening.

Tags: atmospheric-deposition-chemical-amp-particulate, environment, nitrogen, usgs-5fff2994d34e592d8671ecdb
Organization: Department of the Interior
USGS National and Global Oil and Gas Assessment Project - Northern Alaska Province, Western North Slope Assessment Unit Boundaries and Assessment Input Data Forms

This data release contains the boundaries of assessment units and input data for the assessment of undiscovered oil and gas resources of strata older than the Torok Formation of the Western North Slope in the Northern Alaska province. The Assessment Unit is the fundamental unit used in the National Assessment Project for the assessment of undiscovered oil and gas resources.  The Assessment Unit is defined within the context of the higher-level Total Petroleum System.  The Assessment Unit is shown herein as a geographic boundary interpreted, defined, and mapped by the geologist responsible for the province and incorporates a set of known or postulated oil and (or) gas accumulations sharing similar geologic, geographic, and temporal properties within the Total Petroleum System, such as source rock, timing, migration pathways, trapping mechanism, and hydrocarbon type.  The Assessment Unit boundary is defined geologically as the limits of the geologic elements that define the Assessment Unit, such as limits of reservoir rock, geologic structures, source rock, and seal lithologies.  The only exceptions to this are Assessment Units that border the Federal-State water boundary.  In these cases, the Federal-State water boundary forms part of the Assessment Unit boundary.  Methodology of assessments is documented in USGS Data Series 547 for continuous assessments (https://pubs.usgs.gov/ds/547) and USGS DDS69-D, Chapter 21 for conventional assessments (https://pubs.usgs.gov/dds/dds-069/dds-069-d/REPORTS/69_D_CH_21.pdf).  See supplemental information for a detailed list of files included this data release.

Tags: assessment-unit, continuous-assessment-unit, energy-resources, geology, geoscientificinformation, national-assessment-of-oil-and-gas, natural-gas, natural-gas-resources, noga2000, oil, oil-resources, oilgas, petroleum, resource-assessment, state-of-alaska, unconventional-assessment-unit, united-states-of-america, usgs-5fff18d8d34e592d8671ec55, western-north-slope-lisburne-hills, western-north-slope-north, western-north-slope-south
Organization: Department of the Interior
Modeled Stream Metabolism in Boulder Creek near Boulder, CO (2016 - 2018)

The data presented here was collected adjacent to USGS stream gage 06730200 and includes both observed and modeled values. Dissolved oxygen, dissolved carbon dioxide, stream depth, water temperature, and light intensity were collected via passive water quality sensors. Modeled values include gross primary production, ecosystem respiration, net ecosystem production, reaeration, and light (when observed values were unavailable). Modeled values were obtained through streamMetabolizer, a USGS-sponsored R-package for estimating rates of stream metabolism. Estimates for carbon dioxide flux utilized both modeled (i.e. reaeration) and observed (i.e. dissolved carbon dioxide) values. Discharge data used in this study are not published here, but are publicly available through the Nation Water Information System (https://waterdata.usgs.gov/nwis).

Tags: bayesian-model, biogeochemical-cycling, boulder-county, boulder-creek, carbon-cycling, carbon-dioxide, carbon-dioxide-flux, colorado, dissolved-oxygen, ecosystem-respiration, freshwater-ecosystems, gross-primary-production, high-resolution, in-situ, mathematical-modeling, net-ecosystem-production, reaeration, seasonal-variation, snowmelt, stream-metabolism, streammetabolizer, urban-stream, usgs-60007698d34e592d8671f3a1
Organization: Department of the Interior
Dataset for temporal influences on selenium partitioning, trophic transfer, and exposure in a major U.S. river

The trace element selenium is an essential element with a narrow window between concentrations needed to support life and those that cause toxicity to egg laying organisms. Selenium bioaccumulation in aquatic organisms is primarily the result of trophic transfer through food webs and is poorly predicted by dissolved concentrations in freshwater bodies. To better understand the hydrologic and biological dynamics that control selenium accumulation into fishes of the Lower Gunnison River Basin (Colorado), ecosystem scale selenium accumulation models were developed from data collected between June 2015 and October 2016.

Tags: bioaccumulation, biota, colorado, colorado-pikeminnow, ecosystem-scale-selenium-accumulation-model, lower-gunnison, particulates, razorback-sucker, selenium, speckled-dace, united-states, usgs-5ffe1ef3d34e52c3b3d9e7ec
Organization: Department of the Interior
Seawater chemistry and physical property profiling using CDT casts above two seafloor pockmarks on the Miami Terrace offshore of  southeastern Florida, 2016

In the Atlantic Ocean and above the Miami Terrace off southeastern Florida, a total of nine CTD (conductivity, temperature, and depth) casts were performed using the 115-foot Research Vessel (R/V) Weatherbird II above the submerged Miami Terrace at the Miami pockmark and Key Biscayne pockmark from May 4 to May 8, 2016. A CTD is a package of electronic instruments and sampling devices that measure conductivity, temperature, and depth but also capable of measuring multiple chemical and physical parameters of the seawater column. A CTD cast measures the various seawater parameters while the package is lowered and raised in one or more cycles from onboard a ship as it drifts with an ocean current or steams along a predetermined transect. Three casts were performed at Miami pockmark and six at Key Biscayne pockmark: Cast 1 CTD - Miami pockmark, Cast 2 CTD - Key Biscayne pockmark, Cast 3 CTD - Miami pockmark, Cast 4 CTD - Miami pockmark, Cast 5 CTD - Key Biscayne pockmark, Cast 6 CTD - Key Biscayne pockmark, Cast 7 CTD - Key Biscayne pockmark, Cast 8 CTD - Key Biscayne pockmark, and Cast 9 CTD - Key Biscayne pockmark. In addition to conductivity, temperature and depth the following parameters were also measured: oxygen, salinity, nitrogen, turbidity, sound velocity, specific conductance, density, fluorescence. The archived water quality data files, navigation files, and detailed metadata for CTD casts can be downloaded from https://doi.org/10.5066/P9VPA5DW.


Tags: conductivity, density, fluorescence, geoscientificinformation, key-biscayne-pockmark, marine, miami-pockmark, oceans, pockmark, salinity, sound-velocity, specific-conductance, turbidity, usgs-5ffddb88d34e52c3b3d9e462, water-nitrogen, water-oxygen, water-quality, water-temperature
Organization: Department of the Interior
Insecticide and fungicide concentrations in irrigation runoff and soils from a lettuce field in the Salinas Valley, California, 2019 and 2020

Irrigation runoff and soil samples were collected from a lettuce field located at the USDA-ARS Spence Research farm in the Salinas Valley, California to measure neonicotinoid insecticides (clothianidin and imidacloprid) and a fungicide (azoxystrobin) applied via coated seed and drench treatments. The field trial was designed to evaluate four treatments with replication: 1) control, untreated seed, 2) imidacloprid treated seed, 3) clothianidin treated seed, and 4) azoxystrobin treated seed with an imidacloprid drench. Samples were collected from each treatment over two lettuce growing seasons: August to October 2019 and September to October 2020. Runoff samples were collected over both growing seasons during 6 irrigation events each year. Surface soils were collected each year before planting and pesticide application and then again at the end of each trial. Soil cores (1 m) were collected in 2019 at the end of the that year’s trial to assess potential subsurface transport. Water samples (n=131) were filtered (0.7 µm) and extracted via solid phase extraction. Soil samples (n=106) were extracted using an accelerated solvent extraction system followed by carbon solid phase extraction. Both water and soil extracts were analyzed via liquid chromatography tandem mass spectrometry. In both years of the study, clothianidin and imidacloprid were detected in runoff and soil samples collected from each treatment. Clothianidin concentrations ranged from non-detect (ND) to 576 ng/L in runoff and ND to 29 ng/g in soil samples. Imidacloprid concentrations ranged from ND to 4877 ng/L in runoff and ND to 20 ng/g in soil samples. Imidacloprid variability between replicates was especially high in Year 2 in Treatment 4; concentrations measured in Treatment 4, Rep D were one to two orders of magnitudes higher than concentrations measured in Treatment 4 Reps A, B, and C. Azoxystrobin was also detected in runoff samples in both years and from all treatments, with concentrations ranging from ND to 237 ng/L. However, in contrast to the clothianidin and imidacloprid soil results, azoxystrobin was only detected in two soil samples during the entire two-year study (0.24 and 0.57 ng/g).

Tags: california, contamination-and-pollution, environment, fungicides, insecticides, irrigation, pesticide-and-herbicide-contamination, pesticides, salinas, seed-treatment, soil-drenching, soil-resources, surface-water-quality, usgs-5ffcd094d34e52c3b3d9da92
Organization: Department of the Interior
Eriogonum visheri (Visher's buckwheat) seed, pollen, and insects at Badlands National Park, South Dakota, USA, 2014-2015, 2017

This data record contains fitness data for Visher's buckwheat (Eriogonum visheri) for the years 2014, 2015 and 2017 at Badlands National Park, South Dakota, USA. These data include insect visitation, pollen deposited on stigmas, achene size and germination over three field seasons (two field seasons for germination: 2015 and 2017) in four populations (two populations in 2017).

Tags: badlands-national-park, biota, ecology, endemic-species, eriogonum-michx, flowering-plants, great-plains, halictid-bees, invasive-species, jackson-county, melilotus-officinalis-l-lam, oglala-county, pennington-county, plants-organisms, pollination, salsola-tragus-l, south-dakota, usgs-5ffccebdd34e52c3b3d9da86
Organization: Department of the Interior
Detailed Crosswalk between LTRM General Classification and USNVC 2017

This set of non-spatial tables provides a detailed link (crosswalk) between the general classification within Long Term Resource Monitoring (LTRM) land cover/use (LCU) geospatial layers and the U.S. National Vegetation Classification (USNVC), current as of April 2017. 
The Upper Mississippi River Restoration (UMRR) Program’s LTRM element has produced LCU data over the past three decades consisting of geospatial layers (maps) showing locations of vegetation and developed lands within the Upper Mississippi River System (UMRS). The LCU data layers contain a classification of 31 general classes specifically developed to meet needs and objectives of the LTRM element of the UMRR Program. Because the LTRM classification is consistently applied across LTRM data layers of the UMRS, crosswalks to other classification systems can consistently be applied by using each of the 31 general map-class codes as a common link. To meet Federal Geographic Data Committee (FGDC) standards, geospatial staff at the U.S. Geological Survey (USGS) Upper Midwest Environmental Sciences Center (UMESC) have previously developed crosswalks between the LTRM 31 general map classes and the USNVC, a classification that meets the National Vegetation Classification Standard (NVCS) which was adopted by the FGDC to promote consistency across federal agencies. The LTRM data layers based on the 1989, 2000, and 2010/11 aerial imagery sets have received crosswalks to the USNVC; however, the USNVC has changed considerably over the years and the application of the USNVC across the LTRM data layers is inconsistent. A major revision to the USNVC was completed in 2015, making any USNVC versions previously applied to LTRM data layers obsolete; the major USNVC revision included changes in classification organization, names, and codes. The 2015 version of the USNVC has been met with stability unlike years prior, particularly in the upper hierarchical levels of the classification, with only minor adjustments to lower hierarchical levels made in 2016. The crosswalk tables provided with this data set deliver an up-to-date version to the USNVC, current as of April 13, 2017. 
The set of crosswalk tables provides a detailed link between the LTRM 31 general map classes and lowest plausible hierarchical classification levels in the USNVC, and includes classification codes and names at all applicable hierarchical levels in the USNVC, which was a feature not included with previous crosswalk versions for LTRM data layers.

Tags: illinois, iowa, land-cover-use, lcu, long-term-resource-monitoring, minnesota, missouri, national-vegetation-classification-standard, nvcs, u-s-national-vegetation-classification, united-states, upper-mississippi-river-restoration, upper-mississippi-river-system, usgs-5ffca95fd34e52c3b3d9d950, usnvc, wisconsin
Organization: Department of the Interior
Coarse Crosswalk between LTRM General Classification and USNVC 2017

This non-spatial table provides a coarse link (crosswalk) between the general classification within Long Term Resource Monitoring (LTRM) land cover/use (LCU) geospatial layers and the U.S. National Vegetation Classification (USNVC), current as of April 2017. 
The Upper Mississippi River Restoration (UMRR) Program’s LTRM element has produced LCU data over the past three decades consisting of geospatial layers (maps) showing locations of vegetation and developed lands within the Upper Mississippi River System (UMRS). The LCU data layers contain a classification of 31 general classes specifically developed to meet needs and objectives of the LTRM element of the UMRR Program. Because the LTRM classification is consistently applied across LTRM data layers of the UMRS, crosswalks to other classification systems can consistently be applied by using each of the 31 general map-class codes as a common link. To meet Federal Geographic Data Committee (FGDC) standards, geospatial staff at the U.S. Geological Survey (USGS) Upper Midwest Environmental Sciences Center (UMESC) have previously developed crosswalks between the LTRM 31 general map classes and the USNVC, a classification that meets the National Vegetation Classification Standard (NVCS) which was adopted by the FGDC to promote consistency across federal agencies. The LTRM data layers based on the 1989, 2000, and 2010/11 aerial imagery sets have received crosswalks to the USNVC; however, the USNVC has changed considerably over the years and the application of the USNVC across the LTRM data layers is inconsistent. A major revision to the USNVC was completed in 2015, making any USNVC versions previously applied to LTRM data layers obsolete; the major USNVC revision included changes in classification organization, names, and codes. The 2015 version of the USNVC has been met with stability unlike years prior, particularly in the upper hierarchical levels of the classification, with only minor adjustments to lower hierarchical levels made in 2016. The crosswalk table delivers an up-to-date version to the USNVC, current as of April 13, 2017. 
This crosswalk table provides a coarse link between the LTRM 31 general map classes and hierarchical classification levels in the USNVC, and includes classification codes and names at all applicable hierarchical levels in the USNVC, which was a feature not included with previous crosswalk versions for LTRM data layers. The crosswalk coarsely links the map classes to USNVC types at the hierarchical level where common vegetation types converge.

Tags: illinois, iowa, land-cover-use, lcu, long-term-resource-monitoring, minnesota, missouri, national-vegetation-classification-standard, nvcs, u-s-national-vegetation-classification, united-states, upper-mississippi-river-restoration, upper-mississippi-river-system, usgs-5ffca901d34e52c3b3d9d94a, usnvc, wisconsin
Organization: Department of the Interior
Remotely sensed variables analyzed and reported in the paper titled "Multi-year data from satellite- and ground-based sensors show details and scale matter in assessing climate’s effects on wetland surface water, amphibians, and landscape conditions"

The comma-delimited fields in this dataset provide values for the remotely sensed variables analyzed for landscape blocks described in the paper, "Multi-year data from satellite- and ground-based sensors show details and scale matter in assessing climate’s effects on wetland surface water, amphibians, and landscape conditions," by Sadinski et al. (submitted). The field labeled “BlockSite” links the records in this file with a set of boundaries in a shapefile called “Study_Block_Boundaries.shp” The records represent weekly measurements of normalized difference vegetation index (BlockNDVI) values and total evapotranspiration (BlockETmm), as well as the annual snow-off date (BlockDOYsnowfree) for the study blocks from January through August from 2008 to 2012.

Tags: climate, environment, evapotranspiration, hydrology, land-surface, minnesota, normalized-difference-vegetation-index-ndvi, remote-sensing, seasons, snow, spring, terrestrial-hydrosphere, usgs-5ffca734d34e52c3b3d9d927, vegetation, wisconsin
Organization: Department of the Interior
Boundaries of landscape block polygons analyzed for the paper, “Multi-year data from satellite- and ground-based sensors show details and scale matter in assessing climate’s effects on wetland surface water, amphibians, and landscape conditions”

The polygons in this shapefile accompany the paper, “Multi-year data from satellite- and ground-based sensors show details and scale matter in assessing climate’s effects on wetland surface water, amphibians, and landscape conditions,” by Sadinski et al. (submitted). The paper describes relations between climate dynamics and key ecological conditions and processes on wetland-upland landscapes in &gt; 30 sites distributed across four study areas in the midwestern United States. The variables studied included both ground- and satellite-based measures. The polygons in this shapefile pertain to the latter and provide the boundaries of 4-km2 blocks that subsume the field sites and provide a landscape perspective for the timing and duration of snow, evapotranspiration, and photosynthetic activity from 2008 to 2012 from January through August. The data for these variables are provided in a separate tabular file (xxx insert reference link xxx) that links to this shapefile by a shared field called BlockSite.   
Citation:   
Sadinski, W., Gallant, A.L., Roth, M., Brown, J., Senay, G., Brininger, W.,  and Stoker, J., Submitted 2017, Multi-year data from satellite- and ground-based sensors show details and scale matter in assessing climate’s effects on wetland surface water, amphibians, and landscape conditions: PLOS ONE.

Tags: climatologymeteorologyatmosphere, environment, evapotranspiration, integrated-monitoring, landscape, modis, ndvi, photosynthesis, remote-sensing, snow, u-s-midwest, usgs-5ffca6d8d34e52c3b3d9d924, wetlands
Organization: Department of the Interior
Remotely sensed snow status analyzed for the paper titled "Multi-year data from satellite- and ground-based sensors show details and scale matter in assessing climate’s effects on wetland surface water, amphibians, and landscape conditions"

This comma-delimited dataset provides values for the remotely sensed status of snow on/off analyzed for field study sites described in the paper, "Multi-year data from satellite- and ground-based sensors show details and scale matter in assessing climate’s effects on wetland surface water, amphibians, and landscape conditions," by Sadinski et al. (submitted). These data provide an indication of snow presence at the spatial resolution of a 500-m square cell for each eight-day interval beginning in January and ending at the start July of each year from 2008-2012. The source for the data was the MOD10A2 snow product from the Terra Moderate Resolution Imaging Spectroradiometer (MODIS) satellite sensor. We extracted  data for the cells associated with 35 field study sites for which we subsequently determined the timing of spring snow-free conditions. The data field labeled "BlockSite" links these values geospatially to a data field of the same name in an ESRI shapefile titled "Study_Block_Boundaries.shp" that delineates study blocks containing the field sites. Refer to the paper by Sadinski et al. (submitted) for details of the analyses performed.

Tags: land-surface, minnesota, snow, terrestrial-hydrosphere, usgs-5ffca65ed34e52c3b3d9d91e, wisconsin
Organization: Department of the Interior
Shoreline delineations for 21 Subestuaries in the Chesapeake Bay 2010-2014

In many coastal regions throughout the world, there is increasing pressure to harden shorelines to protect human infrastructures against sea level rise, storm surge, and erosion. These data reflect the digitization of the shorelines of 21 subestuaries throughout the Chesapeake Bay as observed from 2010 through 2014. Shorelines segments are classified into one of seven shoreline types: bulkhead, riprap, developed, natural marsh, Phragmites-dominated marsh, sandy beach, and forest. These data were collected as part of a larger effort to understand the impacts of shoreline hardening on waterbird community integrity.

Tags: geographic-information-systems, usgs-5ffca474d34e52c3b3d9d906
Organization: Department of the Interior