cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19767925.v1
title: Additional file 9 of Mouse Chd4-NURD is required for neonatal spermatogonia survival and normal gonad development

description: Additional file 9: Table S2. Gene ontology analysis.
DOI: 10.6084/m9.figshare.19768067
title: Additional file 1 of Syrian national growth references for children and adolescents aged 2–20 years

description: Additional file 1. Stature, Weight, and BMI for Age centiles.
DOI: 10.6084/m9.figshare.19768067.v1
title: Additional file 1 of Syrian national growth references for children and adolescents aged 2–20 years

description: Additional file 1. Stature, Weight, and BMI for Age centiles.
DOI: 10.6084/m9.figshare.19768109.v1
title: Additional file 1 of Effect of CPB glucose levels on inflammatory response after pediatric cardiac surgery

description: Additional file 1. Data source.
DOI: 10.6084/m9.figshare.19768109
title: Additional file 1 of Effect of CPB glucose levels on inflammatory response after pediatric cardiac surgery

description: Additional file 1. Data source.
DOI: 10.6084/m9.figshare.19768124
title: Additional file 4 of Incidence and immunomic features of apyretic COVID-19 in patients affected by solid tumors: a prospective cohort study

description: Additional file 4: Table S1. Clinical data and CBC of patients detected as positive for SARS-CoV-2 immunoglobulins. Age, sex, type and stage of cancer, along with type, dosage, and cycles of chemotherapy are reported. Pre-chemotherapy steroids were repeatedly administered at each cycle of chemotherapy in the form of 8–10 mg of dexamethasone.
DOI: 10.6084/m9.figshare.19768124.v1
title: Additional file 4 of Incidence and immunomic features of apyretic COVID-19 in patients affected by solid tumors: a prospective cohort study

description: Additional file 4: Table S1. Clinical data and CBC of patients detected as positive for SARS-CoV-2 immunoglobulins. Age, sex, type and stage of cancer, along with type, dosage, and cycles of chemotherapy are reported. Pre-chemotherapy steroids were repeatedly administered at each cycle of chemotherapy in the form of 8–10 mg of dexamethasone.
DOI: 10.6084/m9.figshare.19768150
title: Additional file 2 of Ameliorative effect of nanocurcumin and Saccharomyces cell wall alone and in combination against aflatoxicosis in broilers

description: Additional file 2.
DOI: 10.6084/m9.figshare.19768150.v1
title: Additional file 2 of Ameliorative effect of nanocurcumin and Saccharomyces cell wall alone and in combination against aflatoxicosis in broilers

description: Additional file 2.
DOI: 10.5281/zenodo.6549695
title: Gravity waves in Titan's atmosphere: A comparison between linearized wave model calculations and HASI observations

description: The data for the article "Gravity waves in Titan's atmosphere: A comparison between linearized wave model calculations and HASI observations" (GWTA). "Titan_CJP_std_chem.dat" is the background atmosphere data of Titan's atmosphere from Strobel's model. It is used in Figure 1 of the article. "HASI_T_p_rho_vsZ_2008.dat" is the data for Cassini-Huygens observations in Titan's atmosphere. It is used in Figure 1 of the article. "Mma-Program-for-GW-on-Titan.txt" is the main Mathematica program to simulate the gravity waves on Titan. "solutions-fun.rar" is the simulation result. This RAR file includes 174 gravity wave samples simulated with different periods and horizontal wavelengths (can be read from the subfile names after uncompressing). These gravity wave solutions are stored as InterpolatingFunction of Mathematica. The solution describes the gravity wave temperature, velocity, and density perturbations profiles from altitude 300km to 2000km. However, they are plain texts and can easily be read by any software. Figures from 2-10 are based on these data.
DOI: 10.5281/zenodo.6549694
title: Gravity waves in Titan's atmosphere: A comparison between linearized wave model calculations and HASI observations

description: The data for the article "Gravity waves in Titan's atmosphere: A comparison between linearized wave model calculations and HASI observations" (GWTA). "Titan_CJP_std_chem.dat" is the background atmosphere data of Titan's atmosphere from Strobel's model. It is used in Figure 1 of the article. "HASI_T_p_rho_vsZ_2008.dat" is the data for Cassini-Huygens observations in Titan's atmosphere. It is used in Figure 1 of the article. "Mma-Program-for-GW-on-Titan.txt" is the main Mathematica program to simulate the gravity waves on Titan. "solutions-fun.rar" is the simulation result. This RAR file includes 174 gravity wave samples simulated with different periods and horizontal wavelengths (can be read from the subfile names after uncompressing). These gravity wave solutions are stored as InterpolatingFunction of Mathematica. The solution describes the gravity wave temperature, velocity, and density perturbations profiles from altitude 300km to 2000km. However, they are plain texts and can easily be read by any software. Figures from 2-10 are based on these data.
DOI: 10.5066/p9qejgd8
title: Early Season Invasives Mapping 2001 - 2010, Washington County, Utah, USA

description: Invasive annual plants such as red brome (Bromus rubens), cheatgrass (B. tectorum), and African mustard (Malcomia africana) can have profound impacts on dryland ecosystems. Potential impacts include the alteration of fuel loads and fire regimes, as well as the competitive displacement of native plant populations. Both of these impacts can significantly degrade habitat quality for wildlife and can have important socioeconomic consequences for human society. To design science-based strategies for mitigating these impacts, managers need information on the relative abundance of invasive plant populations over time and across complex landscapes characterized by multiple management jurisdictions, a range of urban and wildland settings, and diverse biophysical environments. These data consist of areas modeled as containing early season invasives (ESI) such as cheatgrass, red bromem, and African Mustard across Washington County, Utah for 2001 through 2010. Multi-season (spring and summer) satellite imagery (Landsat 5) were used to model the potential extent and distribution of these species. A mapping algorithm toolset, Detection of Early Season Invasives (DESI), which works in conjuction with the ENVI image analysis and processing software, was used throughout the process. Specifically, DESI compares spring and summer Landsat images and models the abundance of ESI as a function in seasonal differences in vegetation greeness.
DOI: 10.5066/p9grp7dh
title: Soil-Water-Balance (SWB) model archive used to simulate potential annual recharge in Maine, 1991-2015

description: This set of data includes four potential annual recharge grids for the State of Maine that were simulated using the Maine Soil-Water-Balance model for 1991 through 2015. The files include a grid representing the uncertainty in the potential recharge and a grid showing the annual average precipitation from the climate dataset that the simulation is based on. A 25-year simulation of potential recharge to groundwater from the Maine Soil-Water-Balance model for the years 1991 to 2015 produced annual results from which the four potential recharge grids were derived. The four are: 25-year mean, median, maximum, and minimum simulated annual potential. A data exclusion zone (see Scientific Investigations Report 2019-5125) has been applied to the recharge datasets, resulting in a dataset that covers most, but not all, of the State of Maine. The potential recharge grids are given in units of inches per year, with a raster grid cell size of 250 meters. The uncertainty in the simulated grid values is the standard deviation grid, which represents the standard deviation of the simulated median recharge grid. The precipitation data used in the 25-year simulation are from DayMet version 3 daily data. The average annual precipitation grid is the calculated annual average from those data. Further details about the generation and application of the data can be found in Scientific Investigations Report 2019-5125.
DOI: 10.5066/f7tm7898
title: Volcanic Gas Measurements at Mount Cleveland, 14-15 August 2015

description: Helicopter-based, upward-looking differential optical absorption spectroscopy (DOAS) measurements of scattered solar ultraviolet radiation and Multi-Component Gas Analyzer System (Multi-GAS) measurements of trace gas concentrations were made while traversing beneath and through the gas plume emitted from Mount Cleveland volcano on 14-15 August, 2016. Radiance spectra and gas compositions were recorded at 1 second time resolution. Each spectrum and gas measurement was stamped with the GPS time and location. Each spectrum was saved in a separate ASCII file which includes 2048 radiances measured in the 285 - 430 nm spectral region and metadata associated with each acquisition. The Multi-GAS measurements are saved in a spreadsheet in the *.csv format.
DOI: 10.5066/p9537qg9
title: Fractional estimates of invasive annual grass cover in dryland ecosystems of western United States (2016 - 2018)

description: Invasive annual grasses, such as cheatgrass (Bromus tectorum L.), have proliferated in dryland ecosystems of the western United States, promoting increased fire activity and reduced biodiversity that can be detrimental to socio-environmental systems. Monitoring exotic annual grass cover and dynamics over large areas requires the use of remote sensing that can support early detection and rapid response initiatives. Here, we integrated in situ observations, weekly composites of harmonized Landsat and Sentinel-2 (HLS) data, maps of biophysical variables (e.g. soils and topography) and machine learning techniques to develop fractional estimates of exotic annual grass cover at a 30-m spatial resolution from 2016 to 2018. Comparisons with Bureau of Land Management Assessment, Inventory, and Monitoring (AIM) field data (2016 and 2017) indicate good agreement between observed and mapped values (n = 1700; r = 0.83; mean absolute error [MAE] = 11), as constructed from an ensemble of regression tree models, with slightly lower agreement between mapped values and independent field observations (n = 112; r = 0.65; MAE =14). Geographic coverage of the study area includes portions of Oregon, California, Idaho, and Nevada.
DOI: 10.5066/p9o2ym6i
title: Ungulate Migrations of the Western United States, Volume 1

description: This is the data archive for the publication Ungulate Migrations of the Western United States, Volume 1 (Kauffman et al. 2020) and includes the collection of GIS map files that are mapped and described in the report. These map files are meant to provide a common spatial representation of the mapped migrations. This data release provides the means for ungulate migrations to be mapped and planned for across a wide variety of landscapes where they occur. Due to data sharing constraints of participating agencies, not all the files that underlie the mapped migrations included in the report have been released. Data can be viewed at: https://westernmigrations.net. Data can be downloaded by individual herd/range by clicking on child item pages, or as a complete zip file archive by clicking on the gear icon under child items.
DOI: 10.5066/p9ec2094
title: Projections of Rangeland Fractional Component Cover Across the Sagebrush Biome for Representative Concentration Pathways (RCP) 4.5 and 8.5 Scenarios for the 2020s, 2050s, and 2080s Time-Periods (ver. 1.1, April 2022)

description: Climate change over the past century has altered vegetation community composition and species distributions across rangelands in the western United States. The scale and magnitude of climatic influences are unknown. While a number of studies have projected the impacts of climate change using several modeling approaches, none has evaluated impacts to fractional component cover at a 30-m resolution across the full sagebrush (Artemisia spp.) biome. We used fractional component cover data for rangeland functional groups and weather data from the 1985 to 2018 reference period in conjunction with soils and topography data to develop empirical models describing the spatio-temporal variation in component cover. To investigate the ramifications of future change across the western US, we extended models based on historical relationships over the reference period to model landscape effects based on future weather conditions from two emissions scenarios (Representative Concentration Pathways [RCP] 4.5 and 8.5) and three time periods (2020s, 2050s, and 2080s). We tested both Generalized Additive Models (GAMs) and regression tree models, finding that the former led to superior spatial and statistical results. Our results suggest more xeric vegetation across most of the study area, with an increasing dominance of non-sagebrush shrubs, annual herbaceous, and bare ground over herbaceous and sagebrush cover in both RCP scenarios. In general, both scenarios yielded similar results, but RCP 8.5 tended to be more extreme, with greater change relative to the reference period. Results demonstrate that in cool sites some degree of warming to growing season maximum temperature or non-growing season minimum temperature could be beneficial to sagebrush and shrub growth. This is not the case, regardless of temperature, for non-growing season maximum temperature. This information can be used to inform management to prepare for future vegetation composition and cover through the prioritization of conservation and restoration and shed light on species' range shifts.
DOI: 10.5066/p9xx0j1y
title: One Meter Topobathymetric Digital Elevation Model for Lake Powell, Arizona-Utah, 1947-2018

description: To support the modeling of the Colorado River water storage area capacity tables by the U.S. Geological Survey (USGS) Utah Water Science Center in the Glen Canyon National Recreation Area in Utah and Arizona, the USGS Earth Resources Observation and Science (EROS) Center has created an integrated 1-meter topobathymetric digital elevation model (TBDEM) for Lake Powell, the second largest man-made reservoir in the United States. Located in south-central Utah and north-central Arizona, Lake Powell is a reservoir on the Colorado River created by the flooding of a natural canyon by the construction of Glen Canyon Dam. The new Lake Powell TBDEM consists of the best available multi-source topographic and bathymetric elevation data for Lake Powell onshore and offshore areas. The Lake Powell TBDEM integrates three different data sources including topographic light detection and ranging (lidar) point cloud data, multibeam bathymetric surveys, and historic topographic surveys obtained from the Department of the Interior (DOI) Bureau of Reclamation (BOR) and USGS Woods Hole Coastal Marine Science Center. The topographic, bathymetric, and historic topographic surveys were sorted and prioritized based on survey date, accuracy, spatial distribution, and point density to develop a TBDEM model based on the best available elevation data. The Lake Powell TBDEM spatial resolution is 1-meter with the general location ranging from Glen Canyon Dam northwest of Page, Arizona to White Canyon, Utah with elevations from 948.28 meters to 1440.94 meters referenced to North American Vertical Datum of 1988 (NAVD88), National Geodetic Survey Geoid 12B. The topographic lidar survey was acquired from 4/2/18 to 4/3/18. The bathymetry survey was acquired from 10/8/17 to 11/15/17. The historic topographic surveys ranged from 1947-1959. Some of the nearshore void zone (not covered by lidar or multibeam) was filled with historic topographic surveys digitized from historical maps from 1947-1959 and a kriging interpolation as published by the USGS Coastal National Elevation Database (CoNED) Applications Project at https://doi.org/10.2112/SI76-008. Additional information regarding the CoNED Applications Project is located at https://www.usgs.gov/land-resources/eros/coned.
DOI: 10.5066/p91nj2pd
title: Near real time estimation of annual exotic herbaceous fractional cover in the sagebrush ecosystem 30m, USA, July 2020

description: The dataset provides a near real time estimation of 2020 herbaceous mostly annual fractional cover predicted on July 1st with an emphasis on annual exotic grasses Historically, similar maps were produced at a spatial resolution of 250m (Boyte et al. 2019 https://doi.org/10.5066/P96PVZIF., Boyte et al. 2018 https://doi.org/10.5066/P9RIV03D.), but starting this year we are mapping at a 30m resolution (Pastick et al. 2020 doi:10.3390/rs12040725). This dataset was generated using in situ observations from Bureau of Land Management's (BLM) Assessment, Inventory, and Monitoring data (AIM) plots; weekly composites of harmonized Landsat and Sentinel-2 (HLS) data (https://hls.gsfc.nasa.gov/); relevant environmental, vegetation, remotely sensed, and geophysical drivers. These data were integrating into regression tree (RT) models for prediction of weekly cloud free Normalized Difference Vegetation Index (NDVI). A total 11,065 AIM plots from years 2016 - 2019 were used to train an ensemble of five-fold RT models using a cross-validation approach (each observation was used as test data once). Cheatgrass (Bromus tectrorum) is the most common species, however, a number of other species were included in this study: Bromus arvensis L., Bromus briziformis, Bromus catharticus Vahl, Bromus commutatus, Bromus diandrus, Bromus hordeaceus L., Bromus japonicus, Bromus madritensis L., Bromus racemosus, Bromus rubens L., Bromus secalinus L., Bromus texensis (Shear) Hitchc., and Taeniatherum caput-medusae. The geographic coverage includes rangelands in the Great Basin, the Snake River Plain, the state of Wyoming, and contiguous areas. We applied a mask to areas above 2700-m elevation to target areas of unlikely substantial annual grass cover. To target likely sagebrush ecosystems, the mask also removed pixels classified as something other than shrub or grassland/herbaceous by the 2016 National Land Cover Dataset (NLCD).
DOI: 10.5066/p9w7vp64
title: Peak-flow frequency analysis for three selected streamgages in the Cedar and Little Sioux River Basins, Iowa, based on data through water year 2019

description: This data release presents a peak-flow frequency analysis by the U.S. Geological Survey that was based on methods described by Eash and others (2013) for streamgages 05458300 Cedar River at Waverly, Iowa; 05458500 Cedar River at Janesville, Iowa; and 06606600 Little Sioux River at Correctionville, Iowa. These methods are used to provide estimates of peak-flow quantiles for 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs). Annual peak-flow data used in the peak-flow frequency analysis for these streamgages were retrieved from the U.S. Geological Survey National Water Information System database (U.S. Geological Survey, 2020) and used with USGS flood-frequency analysis software PeakFQ (Veilleux and others, 2014). This data release contains annual peak-flow data (Iowa_ffa_2019_WATSTORE.txt), PeakFQ specifications (Iowa_ffa_2019.psf), and a series of tables describing the methods and results of the peak-flow frequency analysis (Iowa_ffa_2019.xlsx).
DOI: 10.5066/p9vlfxtm
title: Dissolved Gas and Tracer Concentrations for the High Plains Aquifer, Vertical Flowpath Study Network

description: This data release documents three Microsoft Excel tables that contain data for understanding environmental tracer concentrations in groundwater of the High Plains aquifer system. Results of dissolved-gas modeling using environmental tracer concentrations (tritium, tritiogenic helium-3, and radiogenic helium-4), for the sample network (VPFS, vertical flow path study) are described. Dissolved gas modeling results (ModOut) contains detailed information on the calibration of dissolved gas models to measured dissolved-gas concentrations (neon, argon, krypton, xenon, and nitrogen). Calibration was done using methods described by Aeschbach-Hertig and others (1999 &amp; 2000) with modifications to include nitrogen gas (Weiss, 1970). In most cases, a single set of noble-gas concentrations (neon, argon, krypton, and xenon) was used to solve for recharge conditions (recharge temperature, excess or entrapped air, and fractionation) using the unfractionated excess air (UA) and closed equilibration (CE) models (Aeschbach-Hertig and others, 1999 &amp; 2000). In cases where noble gas data were not available, multiple analyses of nitrogen and argon (collected sequentially on the same sample date) were used to solve for recharge conditions. Environmental tracer results (TrcOut) contains detailed information on calculations of environmental tracer data. Dissolved gas models were paired with measured helium isotope ratios (3He/4He) and helium concentrations to calculate concentrations of tritiogenic helium-3 (the component of 3He derived from tritium decay; Solomon and Cook, 2000) and radiogenic helium-4 (the component of 4He derived from the decay of uranium and thorium in aquifer materials; Solomon, 2000). Tracer concentrations were computed for each combination of measure dissolved gas concentrations when sites had multiple measured gas results and analyses for helium isotopes. Average environmental tracer results (AvgTrcOut) contains average tracer concentrations for a given site used for determination of groundwater ages. Aeschbach-Hertig, W., F. Peeters, U. Beyerle, and R. Kipfer (1999), Interpretation of dissolved atmospheric noble gases in natural waters, Water Resour. Res., 35(9), 2779-2792,https://dx.doi.org/10.1029/1999WR900130. Aeschbach-Hertig, W., F. Peeters, U. Beyerle, and R. Kipfer (2000), Paleotemperature reconstruction from noble gases in ground water taking into account equilibration with entrapped air, Nature, v. 405, Iss. 6790, pg. 1040-1044, http://dx.doi.org/10.1038/35016542 Solomon, D.K., and P.G. Cook. 2000. 3H and 3He. In Environmental Tracers in Subsurface Hydrology, ed. P.G. Cook and A.L. Herczeg, 197-424. Boston: Kluwer Academic Publishers. Solomon, D.K. 2000. 4He in groundwater. In Environmental Tracers in Subsurface Hydrology, ed. P.G. Cook and A.L. Herczeg, 425-439. Boston: Kluwer Academic Publishers. Weiss, R. F., 1970, The solubility of nitrogen, oxygen, and argon in water and seawater, Deep Sea Research, vol. 17, pp. 721-735, https://doi.org/10.1016/0011-7471(70)90037-9.
DOI: 10.5066/p9e6nl6f
title: Cheatgrass probability of occurrence in the Wyoming Basins Ecoregional Assessment area

description: Probability map of cheatgrass (Bromus tectorum) occurrence in relation to vegetation, abiotic and anthropogenic features.