AndreaBozzo/ceres-open-data-index huggingface dataset:
Carbon and nitrogen isotopic analysis of Diamondback terrapin tissues, vegetative, and benthic invertebrate resources within Barnegat Bay, New Jersey during 3 sampling sessions between 2011-2019

This dataset represents stable carbon and nitrogen isotopic information from tissue samples collected from diamondback terrapins, potential prey items, and vegetation from 6 salt marsh sites (4 mainland, 2 island) within a 30 km section of southern Barnegat Bay, New Jersey, USA. Red blood cells were collected from terrapins in 2011 (mature females), and whole blood samples were collected in 2015 and 2019 from mature males and females and immature females. Vegetation and invertebrates prey samples were collected within proximity of terrapin capture sites in 2015 and 2019.

Tags: barnegat-bay, benthic-ecosystems, carbon-isotope-analysis, community-ecology, ecosystem-monitoring, estuary, farming, hurricanes, light-stable-isotope-analysis, new-jersey-coastal, salt-marsh, usgs-61435b19d34e0df5fb95152f, wetlands
Organization: Department of the Interior
Streamflow data collected by the wading method, Pinnacles National Park, California, 2018

This dataset includes streamflow measurements collected at six sites in Pinnacles National Park during 2018. Data collection occurred at times when the streamflow did not include runoff from precipitation. The wading method was used to measure streamflow (Nolan, K.M. and Shields, R.R., 2000, Measurement of stream discharge by wading, U.S. Geological Survey Water-Resources Investigations Report 2000-4036, 106 p.). By this method, the stream channel cross section is divided into subsections. For each subsection, a tape measure is used to measure the distance from the left stream bank (as facing downstream), a wading rod is used to measure the channel depth, and a velocity meter attached to the wading rod is used to measure the water velocity. For shallow stream depths, such as those at the six measurement sites, velocity is typically measured at a position that is 60 percent of the total water depth. The volumetric streamflow rate for each subsection is calculated as the product of the width, depth, and velocity of the subsection. The width of each subsection extends from the depth measurement to points that are halfway to the preceding and following depth measurement points along the stream transect. The total flow rate is calculated as the sum of the flow rates over all subsections. Total flow rates at the six sites are small, ranging from 0.06 to 0.17 cubic feet per second. These rates are considered approximate because of the non-ideal stream channel conditions at some sites and the low stream velocities.

Tags: streamflow, usgs-6143813ad34e0df5fb951598
Organization: Department of the Interior
Model Archive Data for Suspended-Sediment Regression at Station 071948095, Mud Creek near Johnson, AR

Data from an optical turbidity sensor deployed at the stream station were recorded at 15-minute intervals by a data logger and uploaded every hour to the USGS database (Anderson, 2005; Wagner, 2006). Suspended-sediment samples were collected using equal width increments or grab sampling techniques (Edwards, 1999). The use of an optical sensor to continuously monitor turbidity provided an accurate estimate of sediment fluctuations without the collection and analysis costs associated with intensive sampling (OSW policy 2016.07; Rasmussen et al., 2009). Turbidity was used as a surrogate for suspended-sediment concentration (SSC), which is a measure of sedimentation and siltation. Regression models were developed between SSC and turbidity using turbidity data from the optical sensor and  the SSC data collected from the suspended-sediment samples.
For Mud Creek near Johnson, AR, instantaneous turbidity measurements began on June 19, 2015, and ranged from 0.1 to 459.33 Formazin Nephelometric Units (FNU). A total of 51 suspended sediment samples were collected beginning in July of 2015 and ranged from 1 to 610 milligrams per liter (mg/L) across a range of streamflow from 1.71 to 2090 cubic feet per second (cfs).  There were 31 suspended-sediment samples used in the final model after removing quality assurance/quality control samples, samples corresponding with gaps in turbidity data, samples associated with sampling/fouling errors, and extraneous samples from the same storm event which would result in overfitting of the model.

Tags: arkansas, biota, linear-regression, mud-creek, suspended-sediment, time-series, turbidity, usgs-6143b46ed34e0df5fb9516a4
Organization: Department of the Interior
Model Archive Data for Suspended-Sediment Regression at Station 07355870, Gap Creek near Wolf Pen Gap Recreation Area near Nunley, AR

Data from an optical turbidity sensor deployed at the stream station were recorded at 15-minute intervals by a data logger and uploaded every hour to the U.S. Geological Survey (USGS) database (Anderson, 2005; Wagner, 2006). Suspended-sediment samples were collected using an ISCO automatic sampler (suction pump),  equal width increments or grab sampling techniques (Edwards, 1999). The use of an optical sensor to continuously monitor turbidity provided an accurate estimate of sediment fluctuations without the collection and analysis costs associated with intensive sampling (OSW policy 2016.07; Rasmussen et al., 2009). Turbidity was used as a surrogate for suspended-sediment concentration (SSC), which is a measure of sedimentation and siltation. Regression models were developed between SSC and turbidity using turbidity data from the optical sensor and  the SSC data collected from the suspended-sediment samples.
For Gap Creek near Nunley, AR, instantaneous turbidity measurements began on April 26, 2018 and ranged from 0.1 to 778 Formazin Nephelometric Units (FNU). A total of 52 suspended-sediment samples were collected beginning June 25, 2018 and ranged from 1 to 1380 milligrams per liter (mg/L) across a range of streamflow from 0.54 to 2020 cubic feet per second (cfs).  There were 39 suspended-sediment samples used in the final model after removing quality assurance/quality control samples, samples corresponding with gaps in turbidity data, samples associated with sampling/fouling errors, and extraneous samples from the same storm event which would result in overfitting of the model.

Tags: biota, linear-regression, suspended-sediment, time-series, turbidity, usgs-6143bb7ad34e0df5fb951712
Organization: Department of the Interior
High-resolution seismic data acquired at six Southern California Seismic Network (SCSN) recording stations in 2017

In August 2017, the U.S. Geological Survey acquired high-resolution P- and S-wave seismic data near six Southern California Seismic Network (SCSN) recording stations in southern California: CI.OLI Olinda; CI.SRN Serrano; CI.MUR Murrieta; CI.LCG La Cienega; CI.RUS Rush; and CI.STC Santa Clara (Figure 1). These strong-motion recording stations are located inside Southern California Edison electrical substations, critical infrastructures that provide essential services to millions of customers. The primary goals of the seismic survey were to understand the potential for amplified ground shaking and to evaluate lateral variability in shear-wave velocity at these sites. 
We deployed up to 88 geophones at 2-m or 4-m spacing along seven linear profiles surrounding the stations and collocated P- and S-wave sources at ~1-m offset from the geophones. We generated P waves using three types of active sources: a 226-kg vertical accelerated weight-drop (AWD), a 3.5-kg sledgehammer and steel plate combination, and a 2.7-kg hammer and steel plate combination. Active-source S-waves were generated by horizontally striking an aluminum block with a 3.5-kg sledgehammer and by striking a 45-angle aluminum block with a 45°-angle AWD. We first deployed vertical-component geophones (40-Hz, SercelTM L40A, sensitivity of 22.34 volts/meter/second) to record P-wave shots, after which the vertical-component geophones were replaced with horizontal-component geophones (4.5-Hz, SercelTM L28-LBH, sensitivity of 31.3 volts/meter/second) to record S-wave shots. All data were recorded using up to two 60-channel Geometrics Stratavisor NX-60TM seismographs with 24-bit analog-to-digital converters.  The seismographs were connected to the geophones via refraction cables. Each shot was recorded at a 0.5-ms sampling rate for two seconds, with data recording starting 100 ms before the actual time of the shot. Ambient noise data were recorded with vertical-component geophones at a 2-ms sampling rate for 120 seconds. This report provides the metadata needed to utilize the seismic data.  
Acknowledgements: Keith Galvin, Koichi Hayashi, Dan Langermann, Tony Martin, Devin McPhillips, Ian Richardson, David Saucedo-Green, Luther Strayer, Nathan Suits, and Alan Yong 
Reference: Subcommittee of the SEG Engineering and Groundwater Geophysics Committee, Pullan, S. E., Chairman, 1990, Recommended standard for seismic (/radar) data files in the personal computer environment: Geophysics, vol. 55, no. 9, p. 1260-1271.

Tags: earthquake-hazards, ground-motion, la-habra, murrieta, orange-city, seismic-refraction-methods, seismology, usgs-6143d775d34e0df5fb951b77, ventura
Organization: Department of the Interior
High-resolution seismic data acquired at six seismic network recording stations in San Bernardino County, California in 2019

In May 2019, the U.S. Geological Survey acquired high resolution P- and S-wave seismic data near six seismic network recording stations in San Bernardino County, California: Southern California Seismic Network CI.CLT Calelectic, CI.MLS Mira Loma, CI.CJM Cajon Mountain and CI.HLN Highland; California Strong Motion Instrumentation Program station CE.23542; and US National Strong-Motion Network station NP.5326 (Figure 1). The primary goals of the seismic survey were to better understand the potential for amplified ground shaking, to evaluate lateral variability in shear-wave velocity, and to calculate Vs30 at these sites. 
We deployed up to 67 DTCC SmartSolo 3-component seismometer systems ("nodes") at 2-m spacing along six linear arrays and collocated P- and S-wave sources at ~1-m offset from the nodes. We generated active-source P-waves using a 3.5-kg sledgehammer and steel plate combination. Active-source S-waves were generated by horizontally striking an aluminum block with a 3.5-kg sledgehammer. SmartSolo nodes are standalone seismometers with 3-component sensors (5-Hz corner frequency and sensitivity of 76.7 volts/meter/second), battery, and built-in GPS to record location and time. The nodes recorded seismic data continuously at a 0.5-ms sampling rate, and shot timing was recorded by GPS event capture hardware to precisely determine the shot times. For some individual surveys, the nodes were buried a few inches below the ground surface to reduce noise. This report provides the metadata needed to utilize the seismic data.  
Acknowledgements: We thank Garet Huddleston, Dan Langermann, Carolyn Stieban, Zhenning Ma, Luther Strayer, and Chris Green for assistance in data acquisition.  
Reference: Barry, K.M., Cavers, D.A. and Kneale, C.W., 1975, Recommended standards for digital tape formats: Geophysics, vol. 40, no. 2, p. 344-352.

Tags: earthquake-hazards, ground-motion, seismic-refraction-methods, seismology, usgs-61442251d34e0df5fb951fcf
Organization: Department of the Interior
Enhanced Terrain Imagery of the Scranton 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution

This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Scranton 30 x 60 minute quadrangle in Pennsylvania. It also covers part of the Delaware River Basin. The source data used to construct this imagery consists of 1-meter resolution lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acquisitions published between 2017 and 2019 from the Pennsylvania Spatial Data Access (PASDA).  The data were processed using geographic information systems (GIS) software. The data is projected in North America Datum (NAD) UTM Zone 18 North. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index (TPI) calculation.

Tags: elevation, imagerybasemapsearthcover, lidar, terrain, topography, usgs-6144ab5bd34e0df5fb957607
Organization: Department of the Interior
Geochemical data for the Green River Formation in the Piceance Basin, Colorado: Major and trace element concentrations and total organic carbon content

The Eocene Green River Formation in the Piceance Basin of Colorado contains some of the richest oil shale deposits in the world (Johnson and others, 2009; Birdwell and others, 2013). The datasets compiled here were collected with the purpose of refining our understanding of geochemical variability through the depositional history of Eocene Lake Uinta in Piceance Basin. The effects of salinity, water column stratification, and redox conditions were of particular interest. The inclusion of basin center (cores) and basin margin (outcrop) samples through the full stratigraphic interval of the Green River Formation facilitated temporal and spatial assessment of trends within the basin. Geochemical and sedimentologic features of the Green River Formation in Piceance Basin are discussed in terms of the balance of clastic and carbonate inputs, redox conditions, paleoproductivity, and salinity in a recently published thesis (Wu, 2021) and two articles in a Utah Geological Association publication (Boak and others, in press; Wu and others, in press).

Tags: energy-resources, eocene-lake-uinta, geochemistry, geoscientificinformation, green-river, green-river-formation, laboratory-methods, lacustrine-mudrocks, major-and-trace-elements, oil-shale, petroleum-geochemistry-research-laboratory, piceance-basin, usgs, usgs-614a0da7d34e0df5fb96fcbb, utah
Organization: Department of the Interior
Oriental Bittersweet Microbial Communities Across a Post Glacial Successional Gradient at Indiana Dunes National Park, 2017

This data release contains soil and vegetation data collected along a post glacial chronosequence associated with populations of oriental bittersweet (Celastrus orbiculatus) at the Indiana Dunes National Park. The post glacial chronosequence includes sand dunes and moraines, representing a successional gradient from woodland transition, to oak savanna, woodland and forest, to oak hickory forests on the Lake Border Moraine. Soil samples were collected from August 24, 2017 to September 1, 2017; vegetation cover data (percent cover by species) were collected from 1/4-meter squared plots (0.5 by 0.5 m) where the soil samples were taken. DNA extracted from soil and rhizosphere samples were analyzed for bacterial communities using 16S rRNA amplicon sequencing technique to understand the composition and distribution of these communities in relation to the presence of oriental bittersweet. Bulk soil samples were processed for standard soil chemistry, texture (percent sand, silt, and clay), and nutrients. 
Nucleotide sequences are available at https://www.ncbi.nlm.nih.gov/sra.   Bacteria rhizosphere communities of Asiatic Bittersweet across a dunal soil chronosequence - BioProject ; Bioproject number PRJNA826510:: Accession numbers SRX14858481-SRX14858544

Tags: environment, farming, indiana, indiana-dunes-national-lakeshore, indiana-dunes-national-park, lake-michigan, microbial-communities, soil, soil-chemistry, soil-sciences, succession-biological, the-dunes, time-sequence, usgs-6144e301d34e0df5fb95b4ac, vegetation
Organization: Department of the Interior
United States Register of Introduced and Invasive Species

Introduced (non-native) species that become established may eventually become invasive, so tracking introduced species provides a baseline for effective modeling of species trends and interactions, geospatially and temporally. 
The United States Register of Introduced and Invasive Species (US-RIIS, https://doi.org/10.5066/P95XL09Q), as of 2021-11-08, is comprised of three lists, for the localities of Alaska (AK, with 532 records), Hawaii (HI, with 6,075 records), and the conterminous United States (L48, with 8,657 records). Each includes introduced (non-native), established (reproducing) taxa that: are, or may become, invasive (harmful) in the locality; are not known to be harmful there; and/or have been used for biological control in the locality. 
To be included in the US-RIIS, a taxon must be non-native everywhere in the locality and established (reproducing) anywhere in the locality. Native pest species are not included.
Each record has information on taxonomy, dates of introduction (where available; currently for 38% of the records), invasion status (invasive or introduced), and citations for the authoritative sources from which this information is drawn. The US-RIIS builds on a previous dataset, A Comprehensive List of Non-Native Species Established in Three Major Regions of the U.S.: Version 3.0 (Simpson et al., 2020, https://doi.org/10.5066/p9e5k160).
There are 15,264 records in the master list and 12,981 unique names. The list is derived from 5,951 authoritative sources, was reviewed by or based on input from 30 invasive species scientists, and continues to be updated. Publication of version 2.0 of the US-RIIS is anticipated (but not guaranteed) in approximately 12 months.

Tags: alaska, biosurveillance, conterminous-united-states, hawaii, introduced-species, invasive-species, inventory, non-native-species, nonindigenous-species, species, species-checklist, usgs-6144f1ccd34e0df5fb95b5cb
Organization: Department of the Interior
Data Release for a 2020 High-Resolution Seismic Survey across Northeastern Edwards Air Force Base, Kern County, California

In June of 2020, the U.S. Geological Survey conducted a high-resolution seismic survey at Edwards Air Force Base in Kern County, California. Seismic data were acquired using 601 DTCC SmartSolo 3-component nodal seismometer systems (“nodes”), which continuously recorded at 2000 samples per second. Nodes were deployed 5 meters apart along a southwest-northeast trend to create an approximately 3-km-long linear profile. P-wave seismic sources were generated primarily using a 500-lb (227-kg) accelerated weight drop at each recording station. P-wave sources were also generated at every 40 stations using downhole explosions. Fault-zone-guided waves were generated using explosive sources that were placed within a mapped trace of a nearby fault (Kramer Hills Fault zone), located approximately 1 km southeast of the seismic profile. Shot gathers were created in SEG-Y format (Barry et al, 1975) by extracting several seconds of data from each node for each recorded shot time. This report provides the metadata needed to analyze the seismic data.

Tags: earthquakes, faulting-geologic, hazards, seismic-methods, seismic-reflection-methods, seismic-refraction-methods, seismology, usgs-61489ef7d34e0df5fb96b51a
Organization: Department of the Interior
Data from a turtle trapping effort targeting alligator snapping turtles (Macrochelys temminckii) in the Atchafalaya Basin beginning in 2019

This dataset contains data from an ongoing trapping effort beginning in 2019 targeting alligator snapping turtles (Macrochelys temminckii) in the Atchafalaya Basin of south-central Louisiana.

Tags: atchafalaya-basin, biota, ecology, freshwater-ecology, life-history, louisiana, north-america, turtles, united-states, usgs-6148bddad34e0df5fb96b5da
Organization: Department of the Interior
Data Release for Luminescence: Luminescence data for Natural Trap Cave, Wyoming

The following report summarizes the dating results from the Natural Trap Cave 2018-2019 dating project. Within this report, we detail the methodology used by the USGS Luminescence Geochronology Laboratory to obtain ages including sample preparation methods, luminescence measurement, equivalent dose determination, and dating-related calculations. We recommend that this report be included as the supplementary material for any publication(s) that use the ages within this report. This version supersedes all previous age estimates and reports.

Tags: age-estimation-methods, big-horn-county, big-horn-mountains, geochronology, luminescence-dating, natural-trap-cave, optically-stimulated-luminescence, radiation-dosimetry, usgs-6148c830d34e0df5fb96b64b, wyoming
Organization: Department of the Interior
Absorbance and Fluorescence Excitation-Emission Matrix Data for Produced Waters from Oil and Gas Producing Basins in the United States

Waters co-produced during petroleum extraction are normally considered wastes but are also possible resources, especially in water-stressed regions. Produced waters can be chemically complex. High salinity, naturally occurring radioactive materials, and organic substances derived from the producing formation can complicate treatment processes. Rapid screening methods to characterize produced waters could be important in determining effective and efficient treatment strategies, as the composition of these produced waters can vary dramatically.  
In this study, excitation-emission matrix spectroscopy (EEMs) was used to assess the types of fluorescent dissolved organic matter (fDOM) present in produced waters from six unconventional petroleum plays in the United States. EEMs is a fast analysis that requires little to no sample preparation and can be done on-site of oil and gas operations, making it an ideal field screening tool. Eighteen produced water samples were analyzed using EEMs, absorption spectroscopy, and non-purgeable dissolved organic carbon analysis.

Tags: absorbance, bakken-formation, chemical-analysis, colorado, eagle-ford-shale, fluorescence, geoscientificinformation, marcellus-shale, montana, natural-gas-resources, niobrara-formation, north-dakota, ohio, oil-resources, pennsylvania, petroleum, produced-water, produced-waters, texas, united-states, usgs-6149db21d34e0df5fb96fb75, utica-shale
Organization: Department of the Interior