cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p92828yp
title: Metal Concentrations of Sediment from 1993-2017 in San Francisco Bay-Delta Estuary (San Pablo Bay and Suisun Bay), CA

description: Surface sediment samples from the North San Francisco Bay-Delta Estuary were collected monthly at five stations located west of Rio Vista and east of Point Pinole. Sediment was collected near Montezuma Slough, Chips Island, the Concord Naval Weapons Station, Carquinez Strait near Martinez, and San Pablo Bay at water depths ranging from 6.5 to 14.3 meters. Samples were collected coincident with water-quality measurements (Cloern and Schraga, 2016) and metal concentrations in filter-feeding bivalves (Brown and Luoma, 1995; Stewart et al., 2013). Depending on the station, the period of record ranges from 13 to 24 years, from December 1993 to September 2017. Samples were sieved to &lt;64 micrometers to eliminate grain-size bias and digested in hot, concentrated nitric acid for a near-total digest (Luoma and Bryan, 1981). Grain-size was also determined and is both seasonally and spatially variable. Sediments were analyzed for Aluminum, Arsenic, Chromium, Copper, Iron, Lead, Manganese, Nickel, Vanadium, and Zinc on an Inductively Coupled Plasma Optical Emission Spectrometer (ICP-OES). Metal recoveries for this project were evaluated yearly using the standard reference material NIST 2709a-San Joaquin soils. This spatial and temporal documentation of metal concentrations in North San Francisco Bay sediments, and ancillary data, such as grain size, provides important baseline data that can be used to monitor future changes of metal contamination to San Francisco Bay. Figure 1 A The USGS R.V. Peterson. PC Rachel Keating B Morgan crane and ponar grab assembly used for benthic sampling. PC Rachel Keating C Collecting sediment from North San Francisco Bay. PC Kelly Shrader D Homogenized sediment in a mortar and pestle. PC Rachel Keating E Sediment samples digesting on hotplates. PC Rachel Keating F Inductively Coupled Plasma-Optical Emission Spectrometer (ICP-OES). PC Rachel Keating Figure 2 Sampling locations along the San Francisco Bay-Delta Estuary Station 2.1- Montezuma Slough Station 4.1- Chips Island Station 6.1- Concord Naval Weapons Station Station 8.1- Carquinez Strait Station 12.5- San Pablo Bay References: Brown, C. L., and Luoma, S. N., 1995, Use of the euryhaline bivalve Potamocorbula amurensis as a biosentinel species to assess trace metal contamination in San Francisco Bay: Marine Ecology Progress Series, v. 124, p. 129-142. Cloern, J. E., and Schraga, T.S., 2016, USGS measurements of water quality in San Francisco Bay (CA), 1969-2015: U. S. Geological Survey data release, https://doi.org/10.5066/F7TQ5ZPR. Luoma, S. N., and Bryan, G. W., 1981, A statistical assessment of the form of trace metals in oxidized estuarine sediments employing chemical extractants: Science of the Total Environment, v. 17, no. 17, p. 167-196. Stewart, A. R., Luoma, S. N., Elrick, K. A., Carter, J. L., van der Wegen, M., 2013, Influence of estuarine processes on spatiotemporal variation in bioavailable selenium: Marine Ecology Progress Series, v. 492, p. 41-56.
DOI: 10.5066/p9dv375u
title: Data release for Monarch Habitat as a Component of Multifunctional Landscape Restoration Using Continuous Riparian Buffers
DOI: 10.21258/1658857
title: Inventario forestale nazionale svizzero - Tabella n. 902117
DOI: 10.21258/1635403
title: Inventario forestale nazionale svizzero - Tabella n. 898781
DOI: 10.21258/1656262
title: Inventario forestale nazionale svizzero - Tabella n. 891744
DOI: 10.5066/p9yy18pf
title: Seismic reflection imaging of the low-angle Panamint normal fault system, eastern California, 2018

description: A fundamental question in seismic hazard analysis is whether &amp;lt;30?-dipping low-angle normal faults (LANFs) slip seismogenically. In comparison to more steeply dipping (45-60?) normal faults, LANFs have the potential to produce stronger shaking because of their increased possible rupture area in the seismogenic crust. While LANFs have been documented globally, examples of seismogenically active LANFs are limited. The western margin of the Panamint Range in eastern California is defined by an archetypal LANF that dips west beneath Panamint Valley. In addition, high-angle dextral-oblique normal faults displace mid-to-late Quaternary alluvial fans near the range front. To image shallow (&amp;lt;1 km depth), crosscutting relationships between the low- and high-angle faults along the range front, we acquired two high-resolution P-wave seismic reflection profiles. The northern 4.6-km-long profile crosses the 2-km-wide Wildrose Graben and the southern 0.8-km-long profile extends onto the Panamint Valley playa. The profile across the Wildrose Graben reveals a robust, low-angle reflector interpreted to represent the LANF. High-angle faults interpreted in the seismic profile correspond to fault scarps on Quaternary alluvial fan surfaces. Interpretation of the reflection data suggests that the high-angle faults vertically displace the LANF up to 81 m within the Wildrose Graben. Similarly, the southern profile reveals a low-angle reflector, which appears both rotated and displaced up to 260 m by high-angle faults. These results suggest that near the Panamint rangefront, the highangle faults are the dominant late Quaternary structures. We conclude that, at least at shallow (&amp;lt;1km) depths, the LANF imaged is not seismogenically active today.
DOI: 10.21258/1645880
title: Inventario forestale nazionale svizzero - Tabella n. 899084
DOI: 10.21258/1652491
title: Inventario forestale nazionale svizzero - Tabella n. 897108
DOI: 10.6084/m9.figshare.13313186.v1
title: Functional diversity of dung beetle

description: Location of sampling sites and traits of the dung beetle species of the subtropical forests of Argentina
DOI: 10.21258/1654034
title: Inventario forestale nazionale svizzero - Tabella n. 899226
DOI: 10.21258/1652553
title: Inventario forestale nazionale svizzero - Tabella n. 897500
DOI: 10.21258/1629002
title: Inventario forestale nazionale svizzero - Tabella n. 902076
DOI: 10.5281/zenodo.4340906
title: The Open Energy Ontology - Survey

description: These files document the first survey conducted on the Open Energy Ontology. The analysis covers consistency of terms as well as term coverage.
DOI: 10.5281/zenodo.3870654
title: The Open Energy Ontology - Survey

description: These files document the first survey conducted on the Open Energy Ontology. The analysis covers consistency of terms as well as term coverage.
DOI: 10.5066/f7c24vb2
title: Phytoplankton Species Composition, Abundance and Cell Size in San Francisco Bay: Microscopic Analyses of USGS Samples, beginning in 2014

description: This Data Release makes available measurements of phytoplankton species composition, abundance and cell size made on samples collected in San Francisco Bay (CA) from January 2014 through December 2016. Whole water phytoplankton samples were collected at least monthly at fixed sampling stations along a 145-km transect where the variability of salinity, temperature, turbidity and nutrient concentrations reflected a broad range of environmental factors that regulate phytoplankton growth and abundance. A map and table of sampling locations are included in this Data Release. Immediately after samples were collected, they were preserved with with acid Lugols solution. The samples were analyzed by BSA Environmental Services, Inc following the McNabb (1960) filter method. Following standard methods, at least 400 natural units (colonies, filaments, and unicells) were enumerated to the lowest possible taxonomic level from each sample. In 2014 and 2015, abundances were estimated by random field counts with at least 100 cells of the most numerous taxon counted. From 2016 onward, the 400 natural unit tally was met using two separate random field count efforts: (1) at least 100 natural units of organisms smaller than or equal to 5 μm were identified and enumerated; and (2) at least 300 natural units of organisms larger than 5 μm were identified and enumerated. The 2016 method was adopted to maximize detection of large but rare cells. Cell volumes for each taxon were estimated with the formulas for solid geometric shapes that most closely matched the cell shape according to Hillebrand et al. (1999). Cell volume calculations were based on measurements of up to ten organisms for the most abundant taxa. The Biovolume (μm3 ml1) of each taxon was computed as the product of abundance (cells ml1) and cell volume (μm3 cell1). The dataset consists of 352 samples, each of a distinct date, station and depth combination. In those samples, a total of 548 different taxa were detected within 10 functional groups: Bacillariophyta, Chlorophyta, Chrysophyceae, Ciliophora, Cryptophyta, Cyanophyceae, Dinophyceae, Euglenophyta, Haptophyta, and Raphidophyceae. Bacillariophyta (diatoms) dominated the total biovolume contributed by all functional groups (83%). Hillebrand, H., Drselen, C.-D., Kirschtel, D., Pollingher, U. and Zohary, T. 1999. Biovolume Calculation for Pelagic and Benthic Microalgae. Journal of Phycology, 35: 403424. doi:10.1046/j.1529-8817.1999.3520403.x McNabb, C. D. 1960. Enumeration of freshwater phytoplankton concentrated on the membrane filter. Limnol. Oceanog., 5: 57-61.
DOI: 10.21258/1647338
title: Inventario forestale nazionale svizzero - Tabella n. 891920
DOI: 10.5066/p9jyh45t
title: Data Release for the 2003 Puerto Rico and U.S. Virgin Islands Seismic Hazard Model

description: Gridded seismic hazard curve data, gridded ground motion data, and mapped gridded ground motion values are available for the 2003 Puerto Rico and U.S. Virgin Islands Seismic Hazard Model. Probabilistic seismic hazard data and maps are available for peak ground acceleration (PGA) and 0.2, 0.3, and 1.0 second spectral acceleration at probability levels of 2 percent in 50 years and 10 percent in 50 years, assuming firm rock soil conditions at 760 m/s. Development of the 2003 Puerto Rico and U.S. Virgin Islands Seismic Hazard Model is documented at https://doi.org/10.1193/1.3277667. This dataset is considered a legacy dataset. The original dataset was uploaded to the USGS website at the time of publication of the seismic hazard model (2003) but was later moved over the the USGS ScienceBase Catalog (2019). The original dataset was assumed to be complete and accurate, but may contain inconsistencies when compared to more recent, actively maintained datasets.
DOI: 10.21258/1643682
title: Inventario forestale nazionale svizzero - Tabella n. 898027
DOI: 10.5066/p93qgzwy
title: Data Release for the 2007 Afghanistan Seismic Hazard Model

description: Gridded seismic hazard curve data, gridded ground motion data, and mapped gridded ground motion values are available for the 2007 Afghanistan Seismic Hazard Model. Probabilistic seismic hazard data and maps of Afghanistan for peak ground acceleration (PGA) and 0.2 and 1.0 second spectral acceleration at probability levels of 2 percent in 50 years (annual probability of 0.000404), 5 percent in 50 years (annual probability of 0.001026), and 10 percent in 50 years (annual probability of 0.0021), assuming firm rock soil conditions at 760 m/s, are available. Development of the 2007 Afghanistan Seismic Hazard Model is documented in the USGS Open-File Report 2007-1137 (https://pubs.usgs.gov/of/2007/1137/index.html). This dataset is considered a legacy dataset. The original dataset was uploaded to the USGS website at the time of publication of the seismic hazard model (2007) but was later moved over the the USGS ScienceBase Catalog (2019). The original dataset was assumed to be complete and accurate, but may contain inconsistencies when compared to more recent, actively maintained datasets.
DOI: 10.5066/p9uspekg
title: Data Release for the 2012 Guam and Northern Mariana Islands Seismic Hazard Model

description: Gridded seismic hazard curve data, gridded ground motion data, and mapped gridded ground motion values are available for the 2012 Guam and Northern Mariana Islands Seismic Hazard Model. Probabilistic seismic hazard data and maps of Guam and the Northern Mariana Islands for peak ground acceleration (PGA) and 0.2 and 1.0 second spectral acceleration at probability levels of 2 percent in 50 years (annual probability of 0.000404) and 10 percent in 50 years (annual probability of 0.0021), assuming firm rock soil conditions at 760 m/s, are available. Development of the 2012 Guam and Northern Mariana Islands Seismic Hazard Model is documented in the USGS Open-File Report 2012-1015 (https://pubs.usgs.gov/of/2012/1015/). This dataset is considered a legacy dataset. The original dataset was uploaded to the USGS website at the time of publication of the seismic hazard model (2012) but was later moved over the the USGS ScienceBase Catalog (2019). The original dataset was assumed to be complete and accurate, but may contain inconsistencies when compared to more recent, actively maintained datasets.
DOI: 10.6084/m9.figshare.13404413
title: A gridded annual runoff dataset from 1982 to 2016 for Peru

description: A gridded annual runoff dataset from 1982 to 2016 has been developed using PISCO dataset (http://iridl.ldeo.columbia.edu/SOURCES/.SENAMHI/.HSR/.PISCO/): streamflow, precipitation, and potential evapotranspiration (from temperature using Hargreaves-Samani). A probabilistic Budyko approach was used to estimate runoff using 14 spatial clusters where an empirical distribution of omega (Fu's parameter) was fitted to the data. In this sense, a maximum, mean, and minimum value is given for runoff in each grid.
DOI: 10.5066/p9vtvu6q
title: Monitoring environmental controls on debris-flow sediment supply, Chalk Cliffs, Colorado, 2011 to 2015

description: This data release includes time-series data of rock temperature, air temperature, wind speed, and humidity at the Chalk Cliffs debris-flow monitoring site in central Colorado (Latitude: 38.73330, Longitude: -106.18704). The data were collected to help identify the environmental controls on rates of rockfall, which is the primary source of debris-flow material at the site. Data were recorded at 1-minute intervals between November 2011 and August 2015. Data collection was occasionally interrupted during maintenance periods or when there was a problem with the power supply. Two probes measured profiles of rock temperature at depths of 0, 1, 2, 4, 8, 16, 24, 32, and 42 cm below the rock surface. One probe was placed on a south-facing rock slope, the other probe was on a north-facing rock slope. See photo ?SensorLocations.jpg? for layout of sensors. Occasional malfunctions in the temperature sensor are identified by ?NAN? readings or anomalous low temperatures (&amp;lt;-50 degrees Celsius). Time stamps are in standard Mountain time. Details of this study are described in the journal article: Rengers, F. K., Kean, J. W., Reitman, N. G., Smith, J. B., Coe, J. A.,&amp;amp; McGuire, L. A. ( 2020). The Influence of Frost Weathering on Debris Flow Sediment Supply in an Alpine Basin. Journal of Geophysical Research: Earth Surface, 125, e2019JF005369. https://doi.org/10.1029/2019JF005369
DOI: 10.21258/1631389
title: Inventario forestale nazionale svizzero - Tabella n. 897813
DOI: 10.21258/1667903
title: Inventario forestale nazionale svizzero - Tabella n. 899021
DOI: 10.21258/1669612
title: Inventario forestale nazionale svizzero - Tabella n. 898024
DOI: 10.5066/p9lbgcpt
title: UAS-based remotely sensed data and field measurements of flow depth and velocity from the Blue River, Colorado, October 17-18, 2019

description: To suport an investigation of the feasibility of measuring river discharge using remotely sensed data acquired from an unmanned aircraft system (UAS), several types of remotely sensed data and field measurements were collected from two cross-sections on the Blue River in Colorado, just upstream of its confluence with the upper Colorado River, on October 18, 2018. This parent data release includes links to child pages for the following data sets: 1) Lidar data used for mapping channel bathymetry (depth), acquired with a novel instrument that was developed by ASTRALiTe to distinguish between returns from the water surface and riverbed based on the polarization of laser pulses. 2) Thermal image time series used to infer surface flow velocities via particle image velocimetry (PIV). 3) Field-based wading surveys of bed topography used to evaluate the bathymetric mapping capabilities of the ASTRALiTe lidar. 4) In situ measurements of flow depth and velocity acquired with an acoustic Doppler current profiler (ADCP) and used to assess the accuracy of velocity estimates derived from thermal images via PIV. The ADCP also provided direct measurements of river discharge.
DOI: 10.21258/1648308
title: Inventario forestale nazionale svizzero - Tabella n. 893039
DOI: 10.5066/f77d2s8s
title: Data Release: Upper Klamath Lake, Oregon, Hyperspectral Algal Samples

description: This data represents samples of algae from Upper Klamath Lake Oregon, during the summer of 2016. Data were sampled from the lake using standard protocols and then shipped to the remote sensing laboratory at the National Institute of Standards and Technology (NIST) for analysis on the hyperspectral microscope at NIST.
DOI: 10.5066/p9zivehx
title: Hydrographic surveys collected to monitor fish spawning reef placements, Detroit and St. Clair Rivers, Michigan, July 23-25, 2018

description: The U.S Geological Survey conducted hydrographic surveys from July 23-25, 2018 to monitor fish spawning substrate placements (reefs) in the Detroit and St. Clair Rivers, Michigan. A multibeam echosounder was used from the Great Lakes Science Center research vessel Cisco to collect hydrographic data. These data were used to generate maps of river bottom topography in locations where spawning substrates have been placed. Reefs that had been constructed at the time of survey in the Detroit River included: Fighting Island, Fort Wayne, New (East) Belle Isle, Belle Isle, and Grassy Island. The reefs constructed in the St. Clair River at the time of survey included: Middle Channel, Pointe aux Chenes, and Harts Light.
DOI: 10.21258/1658476
title: Inventario forestale nazionale svizzero - Tabella n. 893020
DOI: 10.5066/f72r3pvf
title: Correlation Between Seismic-Reflection Profiles and Well Data, Broward County, FL

description: Synthetic seismograms provide a means to calibrate (groundtruth) seismic-reflection profiles to specific subsurface stratigraphic events observed in one-dimensional core and geophysical log data acquired from wells. Independently, Walker Marine Geophysical Company and Geokinetics Incorporated used velocity data from 13 borehole-compensated sonic logs as input for specialized geophysical software to generate 13 synthetic seismograms. Velocity data from the sonic logs were converted to a synthetic seismic trace using synthetic-seismogram production software, reproduced either 5 or 8 times, and placed side-by-side to resemble a seismic-reflection profile. For each well, the synthetic seismogram was used to relate geologic and geophysical well data to the respective seismic-reflection data. Stratigraphic and hydrogeologic interfaces were fit to the true wavelet traces on seismic-reflection profiles. Selected stratigraphic and hydrogeologic interfaces were identified on the basis of comparisons to published geologic and hydrogeologic frameworks. The direct correlation of key traces on the synthetic seismograms to seismic-reflection profiles was not a perfect fit; however, some disparity is common between synthetic seismograms and seismic-reflection profiles (Bruns and others, 1994) and in many cases is a result of imperfect modeling of synthetic seismograms.
DOI: 10.5066/f75m647f
title: Hyperspectral image data from the Niobrara River, Nebraska, November 2012 and August 2016

description: Hyperspectral image data from the Niobrara River, a dynamic, sand-bed channel in northern Nebraska, were acquired in November 2012 and again in August 2016 to support research on remote sensing of rivers, particularly retrieval of water depth and tracking of mobile bedforms. These data were collected by the Compact Airborne Spectrographic Imager (CASI) 1500H manufactured by ITRES Research Limited. The data were acquired from fixed wing aircraft and have spatial resolutions (pixel sizes) from 0.5 - 0.6 m. The data consist of a large number of spectral bands spanning the visible and near infrared wavelengths and have been radiometrically corrected. The image pixel values represent spectral radiance units of 1 uW cm-2 sr-1 nm-1, with a data multiplier (scale factor) of 1000. No atmospheric correction was performed for the data provided in this release.
DOI: 10.21258/1665209
title: Inventario forestale nazionale svizzero - Tabella n. 891976
DOI: 10.5066/f7348j85
title: Geochemistry of Sediment and Associated Leachates from Samples near the Old Yuma Mine, AZ

description: This data set includes analysis of 38 sediment samples collected near the Old Yuma Mine. The sediment samples were collected from tailings, waste rock, stream sediment, and background locations. All samples were analyzed by a total digestion method, some by the USEPA 3050 method, and some were leached by the USEPA 1312 method.
DOI: 10.21258/1649815
title: Inventario forestale nazionale svizzero - Tabella n. 899669
DOI: 10.15468/4szffu
title: The Australian Lymexylidae (Coleoptera: Tenerionoidea) with one new genus and two genera new to Australia

description: This dataset contains the digitized treatments in Plazi based on the original journal article Lawrence, John F. (2020): The Australian Lymexylidae (Coleoptera: Tenerionoidea) with one new genus and two genera new to Australia. Zootaxa 4895 (2): 211-238, DOI: https://doi.org/10.11646/zootaxa.4895.2.3
DOI: 10.21258/1636013
title: Inventario forestale nazionale svizzero - Tabella n. 899355
DOI: 10.5066/p9vk2fal
title: Results from frequency-ratio analyses of soil classification and land use related to landslide locations in Puerto Rico following Hurricane Maria

description: To better understand factors potentially contributing to the occurrence of rainfall-induced landslides in Puerto Rico, we evaluated the locations of landslides there following Hurricane Maria (Hughes et al., 2019) and potential contributing factors. This data release provides results of evaluations of landslide locations compared to soil classification and land cover, which involved frequency-ratio analyses (for example, Lee and Pradhan, 2006; Lee et al., 2007; He and Beighley, 2008; Lepore et al., 2012; Chalkias et al., 2014). Soil classification data were obtained from the U.S. Department of Agriculture Natural Resources Conservation Service (2018) and land cover data were obtained from the Puerto Rico Gap Analysis Program (Gould et al., 2008). The data presented herewith were produced during a study described in Hughes and Schulz (2020). Three files are included with this data release. Data files soil_classification_results.csv and land_cover_results.csv provide results of the analyses of landslide locations compared to soil classification and land cover, respectively. A read-me file (readme.txt) provides the information contained in this summary and additional description of data available from the data files.
DOI: 10.21258/1643639
title: Inventario forestale nazionale svizzero - Tabella n. 892007