cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25675/10217/211545
title: Dataset associated with "Seeking congruity for agentic women: a longitudinal examination of college women's persistence in STEM"

description: Those interested in using these data are encouraged to contact Dr. Paul Hernandez (prhernandez@tamu.edu) and Dr. Emily Fischer (evf@rams.colostate.edu) for more information. Data Contacts: Paul R. Hernandez (primary), prhernandez@tamu.edu, 979-464-9229 Emily V. Fischer, evf@rams.colostate.edu, 970-491-8587.
description: Survey data were collected via the online Qualtrics survey system twice yearly in the fall and spring semesters from fall 2015 through spring 2019. This repository contains the data file associated with all surveys utilized in the analyses presented in this research article.
description: Format of Data Files: Data files are in .csv format. Files can be opened by most software (e.g., Notepad, WordPad, Excel) – anything that can read a comma delimited ASCII text file. Here, the file name is "Dataset." In addition, a codebook accompanies the data file. The codebook contains the variable names, variable labels, and value labels for all variables contained within the "Dataset.csv" file.
description: An abundance of literature has examined barriers to women's equal representation in science, technology, engineering, and math (STEM) fields, with many studies showing that STEM fields are not perceived to afford communal goals, a key component of women's interest in future careers. Using Goal Congruity Theory as a framework, we tested the longitudinal impact of perceptions of STEM career goal affordances, communal and agentic goals, and their congruity on persistence in science from the second through fourth years of college among women in STEM majors. We found that women's intent to persist in science were highest in fall of their second year, that persistence intentions exhibited a sharp decline, and that eventually leveled off by their fourth year of college. This pattern was moderated by perceptions of agentic affordances in STEM, such that women with higher perceptions of agentic affordances experienced smaller declines. Similar to prior research, we found that higher perceptions of communal goal affordances in STEM consistently predicted higher persistence intentions. Finally, we found an agentic goal-affordance congruity interaction, such that higher perceptions of agentic affordances in STEM predicted higher persistence intentions; however, the positive relationship was stronger for women with higher agentic goals. We conclude that because STEM fields are stereotyped as affording agentic goals, women who identify interest in a STEM major during their first year of college may be drawn to these fields for this reason, and may benefit from perceptions that STEM affords both communal and agentic goals.
DOI: 10.25675/10217/82281
title: SGS-LTER spatial variability in seed production of the perennial bunchgrass Bouteloua gracilis on the Central Plains Experimental Range, Nunn, Colorado, USA 1992-2005, ARS study number 20

description: The Short Grass Steppe site encompasses a large portion of the Colorado Piedmont Section of the western Great Plains. The extent is defined as the boundaries of the Central Plains Experimental Range (CPER). The CPER has a single ownership and landuse (livestock grazing). The PNG is characterized by a mosaic of ownership and land use. Ownership includes federal, state or private and land use consists of livestock grazing or row-crops. There are NGO conservation groups that exert influence over the area, particularly on federal lands.
description: This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Repository (http://hdl.handle.net/10217/100254). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Production of seeds of Bouteloua gracilis was evaluated for a semiarid grassland in northeastern Colorado. Ten locations were chosen to represent the range in soil textures and grazing intensities found at the Central Plains Experimental Range research site. Number of flowering culms, inforescences and seeds, length of each flowering culm, total biomass or reproductive structures (culms, inforescences and seeds), and basal areas were assessed for each plant sampled. Community-level estimates of density of flowering culms and density of viable seeds are made for each location. Both soil texture and grazing intensity by cattle are important to spatial variability in seed production and other indicators of reproductive effort by B. gracilis.
DOI: 10.25675/10217/186045
title: Valley bottom extraction tool results for Colorado River Basin

description: Valley bottoms are representative of the "maximum riparian corridor extent", an area which separates the vegetative, topographic, and environmental characteristics of riparian areas from those of the upland. The Valley Bottom Extraction Tool (V-BET) (Gilbert et al., 2016), a freely available ArcMap Toolbox, was used to map valley bottoms across the Colorado River Basin. The V-BET tool requires two primary data inputs: a high resolution (≤10 m2) digital elevation model and hydrologic flowline data with high cartographic precision. The hydrologic flow line data was obtained from the National Hydrography Dataset and a 10-meter digital elevation model from the National Elevation Dataset. The study area was separated into 149 distinct hydrological unit codes (HUCs) at the HUC-8 level and processed each HUC independently within the V-BET toolbox in ArcMap v10.3. Resulting valley bottom extents, which are output from the tool as polygon files, were qualitatively verified by trained interpreters and edited (mainly streams and rivers equal to Strahler stream order "3") manually in a geographic information system to remove any superfluous channels or over/under estimations of extent using the refinement and editing process detailed in Gilbert et al. (2016). This zip file contains two versions of the Valley bottom extraction tool results for the Colorado River Basin; one as a raster version and another as a polygon shapefile.
description: Users of these maps and other analysis products are solely responsible for interpretations made from these products. The Natural Resource Ecology Laboratory makes every effort to ensure this map is free of errors but does not warrant the map or its features are either spatially or temporally accurate or fit for a particular use. The Natural Resource Ecology Laboratory provides this map without any warranty, either express or implied.
description: Valley Bottom Extraction Tool (V-BET) was used to spatially define riparian corridors based on topography and vegetation. The V-BET algorithm was applied to all streams and rivers present within the Colorado River Basin (CRB) that were less than or equal to Strahler stream order "3" (USGS National Hydrologic Database, 2016), thereby capturing the extent of valley bottoms and riparian corridors along the majority of large streams and rivers within the expansive CRB network.
DOI: 10.25675/10217/87163
title: SGS-LTER GIS layer with detailed information on streams on Central Plains Experimental Range, Nunn, Colorado, USA 2012

description: This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Repository (http://hdl.handle.net/10217/100254). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection.
DOI: 10.25675/10217/233661
title: Dataset associated with "Temporal Variations of NDVI and LAI and Interactions with Hydroclimatic Variables in a Large and Agro-Ecologically Diverse Region"

description: It contains the dataset used to produce Figure 2 in the manuscript and to estimate relationships of hydroclimatic variables with vegetation indices. Each variable is a monthly regional average (for combined Sacramento and San Joaquin river basins, California) and spans from October 2002 to September 2015. These regional averages have been estimated using different datasets which are cited in the manuscript. Description of dataset is as follows: 1. Dataset 1: Regional averages of monthly hydroclimatic and vegetation anomalies; 2. Dataset 2: Mean and standard deviations of monthly hydroclimatic and vegetation anomalies; 3. Dataset 3: Prewhitened time series of monthly hydroclimatic and vegetation anomalies; 4. Dataset 4: Prewhitened-detrended time series monthly hydroclimatic and vegetation anomalies; 5. Dataset 5: Annual time series of regional hydroclimatic and vegetation anomalies. See supplementary information provided with the manuscript for more information.
description: Satellite based vegetation indices are increasingly used to characterize seasonal and interannual variations in vegetation as well as vegetation’s response to hydroclimatic variability. However, differences in the behavior of vegetation indices are not well understood over large spatial extents (e.g., 0.5° or larger). We hypothesize that normalized difference vegetation index (NDVI) and leaf area index (LAI) can exhibit different behaviors due to different relationships with hydroclimatic variables. To test this hypothesis, observations of monthly precipitation, discharge, temperature, vapor pressure deficit, evapotranspiration, and total water storage anomalies (TWSA) are processed for the combined Sacramento and San Joaquin river basins in California for 13 water years (October 2002-September 2015). Estimates of NDVI and LAI are obtained for the same period from MODerate resolution Imaging Spectroradiometer (MODIS). The seasonal cycle of NDVI peaks 2-3 months earlier than LAI. The seasonal variation in NDVI follows the seasonality of TWSA (i.e. water availability) whereas the seasonal cycle of LAI follows the seasonality in mean temperature and vapor pressure deficit (i.e. atmospheric water demand). Cross-correlation analyses of NDVI and LAI with the hydroclimatic variables show that LAI is more strongly correlated with most of the hydroclimatic variables considered.
DOI: 10.25675/10217/186709
title: Allostery in the dengue virus NS3 helicase: Insights into the NTPase cycle from molecular simulations

description: The C-terminus domain of non-structural 3 (NS3) protein of the Flaviviridae viruses (e.g. HCV, dengue, West Nile, Zika) is a nucleotide triphosphatase (NTPase) -dependent superfamily 2 (SF2) helicase that unwinds double-stranded RNA while translocating along the nucleic polymer. Due to these functions, NS3 is an important target for antiviral development yet the biophysics of this enzyme are poorly understood. Microsecond-long molecular dynamic simulations of the dengue NS3 helicase domain are reported from which allosteric effects of RNA and NTPase substrates are observed. The presence of a bound single-stranded RNA catalytically enhances the phosphate hydrolysis reaction by affecting the dynamics and positioning of waters within the hydrolysis active site. Coupled with results from the simulations, electronic structure calculations of the reaction are used to quantify this enhancement to be a 150-fold increase, in qualitative agreement with the experimental enhancement factor of 10-100. Additionally, protein-RNA interactions exhibit NTPase substrate-induced allostery, where the presence of a nucleotide (e.g. ATP or ADP) structurally perturbs residues in direct contact with the phosphodiester backbone of the RNA. Residue-residue network analyses highlight pathways of short ranged interactions that connect the two active sites. These analyses identify motif V as a highly connected region of protein structure through which energy released from either active site is hypothesized to move, thereby inducing the observed allosteric effects. These results lay the foundation for the design of novel allosteric inhibitors of NS3.
DOI: 10.25675/10217/234116
title: Data Associated with "The Key Role of Cloud-Climate Coupling in Extratropical Sea Surface Temperature Variability"

description: Boehm_and_Thompson_CloudLocking_2021_Data.zip contains 12 NetCDF files. Each data file contains output data from simulations run on the Max Planck Institute Earth System Model. Each file has the output for a single variable and three dimensions: time, latitude and longitude.
description: Cloud radiative effects have long been known to play a key role in governing the mean climate. In recent years, it has become clear that they also contribute to climate variability in the tropics. Here we build on recent work and probe the role of cloud radiative effects in extratropical sea-surface temperature (SST) variability. The impact of cloud radiative effects on climate variability is explored in ‘cloud-locking’ simulations run on an Earth System Model. The method involves comparing the output from two climate simulations: one in which clouds are coupled to the atmospheric circulation and another in which clouds are prescribed and thus decoupled from the flow. The results reveal that coupling between cloud radiative effects and the atmospheric circulation leads to widespread increases in the amplitudes of extratropical SST variability from monthly to decadal timescales. Notably, the amplitude of monthly to decadal variability over both the North Atlantic and North Pacific oceans is between ~25-40% larger when clouds are coupled to the circulation. The increases are consistent with the ‘reddening’ of cloud shortwave radiative effects that arises when clouds interact with the large-scale circulation. The results suggest that a notable fraction of observed Northern Hemisphere sea-surface temperature variability - including that associated with North Pacific and North Atlantic decadal variability - is due to cloud-circulation coupling.
DOI: 10.5281/zenodo.7883226
title: In vivo rat brain for Ultrasound Localization Microscopy: raw and beamformed data.

description: <strong>Datasets provided for Open Platform for Ultrasound Localization Microscopy: Performance Assessment of Localization Algorithms.</strong> <strong>Abstract:</strong> Ultrasound Localization Microscopy (<strong>ULM</strong>) is an ultrasound imaging technique that relies on the acoustic response of sub-wavelength ultrasound scatterers to map the microcirculation with an order of magnitude increase in resolution. Initially demonstrated <em>in vitro</em>, this technique has matured and sees implementation<em> in vivo</em> for vascular imaging of organs, and tumors in both animal models and humans. The performance of the localization algorithm greatly defines the quality of vascular mapping. We compiled and implemented a collection of ultrasound localization algorithms and devised three datasets<em> in silico</em> and<em> in vivo</em> to compare their performance through 18 metrics. We also present two novel algorithms designed to increase speed and performance. By openly providing a complete package to perform ULM with the algorithms, the datasets used, and the metrics, we aim to give researchers a tool to identify the optimal localization algorithm for their usage, benchmark their software and enhance the overall image quality in the field while uncovering its limits. This article provides all materials and post-processing scripts and functions. <strong>Methods:</strong> 200.000 ultrasound images have been acquired <em>in vivo </em>on a rat brain with skull removal at 1000 Hz with a 15 MHz linear probe. This dataset contains raw radiofrequency data (<strong>RF</strong>) and beamformed images (<strong>IQ</strong>) of the brain vascularization with flowing microbubbles (ultrasound contrast agent). <strong>Article to be cited:</strong> Heiles, Chavignon, Hingot, Lopez, Teston and Couture.<br> <em>Performance benchmarking of microbubble-localization algorithms for ultrasound localization microscopy</em>, Nature Biomedical Engineering, 2022, (doi.org/10.1038/s41551-021-00824-8). <strong>Related processing scripts and codes:</strong> github.com/AChavignon/PALA <strong>Related datasets:</strong> doi.org/10.5281/zenodo.4343435 <strong>Acknowledgments:</strong> We thank Cyrille Orset (INSERM UMR-S U1237, Physiopathology and Imaging of Neurological Disorders, GIP Cyceron, BB@C, Caen, France) for animals’ preparation and perfusion of contrast agent and the biomedical imaging platform CYCERON (UMS 3408 Unicaen/CNRS, Caen, France).
DOI: 10.25675/10217/83446
title: SGS-LTER standard met data: Monthly precipitation totals and temperatures from the Central Plains Experimental Range, Nunn, CO 1940-1973

description: The Short Grass Steppe site encompasses a large portion of the Colorado Piedmont Section of the western Great Plains. The extent is defined as the boundaries of the Central Plains Experimental Range (CPER). The CPER has a single ownership and landuse (livestock grazing). The PNG is characterized by a mosaic of ownership and land use. Ownership includes federal, state or private and land use consists of livestock grazing or row-crops. There are NGO conservation groups that exert influence over the area, particularly on federal lands.
description: This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Repository (http://hdl.handle.net/10217/100254). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. The objective of this study is to collect baseline meteorological data for the CPER. Datasets auto12_climdb and man11_climdb have been processed for quality and missing values.
DOI: 10.25675/10217/234033
title: Dataset associated with "Ocean Surface Flux Algorithm Effects on Tropical Indo-Pacific Intraseasonal Precipitation"

description: This dataset is for ocean surface flux diagnostic and to reproduce the analyses and figures in the manuscript "Ocean Surface Flux Algorithm Effects on Tropical Indo-Pacific Intraseasonal Precipitation". The time period is from 1998 to 2014 and focus on the ocean region between 20S-20N and 90E-180.
description: Surface latent heat fluxes help maintain tropical intraseasonal precipitation. We develop a latent heat flux diagnostic that depicts how latent heat fluxes vary with the near-surface specific humidity vertical gradient (dq) and surface wind speed (|V|). Compared to fluxes estimated from |V| and dq measured at tropical moorings and the COARE3.0 algorithm, tropical latent heat fluxes in the NCAR CEMS2 and DOE E3SMv1 models are significantly overestimated at |V| and dq extrema. MJO sensitivity to surface flux algorithm is tested with offline and inline flux corrections. The offline correction adjusts model output fluxes toward mooring-estimated fluxes; the inline correction replaces the original bulk flux algorithm with the COARE3.0 algorithm in atmosphere-only simulations of each model. Both corrections reduce the latent heat flux feedback to intraseasonal precipitation, in better agreement with observations, suggesting that model-simulated fluxes are overly supportive for maintaining MJO convection.
DOI: 10.25675/10217/82446
title: SGS-LTER standard met data: 1969-2010 manually collected aboveground and belowground meteorological data collected on the Central Plains Experimental Range, Nunn, Colorado, USA, ARS study number 4

description: The Short Grass Steppe site encompasses a large portion of the Colorado Piedmont Section of the western Great Plains. The extent is defined as the boundaries of the Central Plains Experimental Range (CPER). The CPER has a single ownership and landuse (livestock grazing). The PNG is characterized by a mosaic of ownership and land use. Ownership includes federal, state or private and land use consists of livestock grazing or row-crops. There are NGO conservation groups that exert influence over the area, particularly on federal lands.
description: This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Repository (http://hdl.handle.net/10217/100254). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. The objective of this study is to collect baseline meteorological data for the CPER. Datasets auto12_climdb and man11_climdb have been processed for quality and missing values.
DOI: 10.25675/10217/234474
title: Matlab code associated with manuscript "Lognormal and Mixed Gaussian–Lognormal Kalman Filters"

description: This is a MATLAB m file that implements the mixed Gaussian-lognormal Kalman filter (MXKF) with the Lorenz 1963 model for lognormally distributed background and observational errors for the z component, Gaussian distributed background and observational errors for the x and y components, and compares this against the performance of the current Extended Kalman Filter (EKF). The code has four command line prompts to run, and produces two sets of figure: The first figure is of the trajectories of the z and x components for the true, MXKF, and the EKF, along with the observations, while the second plots contains the analysis errors for the z and x solutions from the MXKF and EKJF.
description: In this paper we shall present the derivation of two new forms of the Kalman filter equations; the first is for a pure lognormally distributed random variable, while the second set of Kalman filter equations will be for a combination of Gaussian and lognormally distributed random variables. We shall show that the appearance is similar to that of the Gaussian based equations, but that the analytical state is a multivariate median and not the mean. We shall show results of the mixed distribution Kalman filter with the Lorenz 1963 model with lognormal errors for the background and observations of the $z$ component, and compare them to results and forecasts from a traditional Gaussian based Kalman filter and show that under certain circumstances the new approach produces more accurate results.
DOI: 10.25675/10217/201559
title: MOR2 hydrology field data

description: This record contains tables with location and measurements data from hydrologic (streamflow) work performed in Summer 2012 by S.R.Fassnacht, Niah B.H. Venable, Odgarav Jigjisuren and Sukhbaatar Jamiyankhuyag.