cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7923/8phz-dr49
title: Data from: Noisy spectra to Particle properties: A machine learning analysis of Enceladus plume spectral data using Cassini-VIMS observations

description: The physical properties of Enceladus plume particles can shed light on the processes responsible for driving the moon's geological activity. Cassini's Visual and Infrared Mapping Spectrometer (VIMS) recorded near-infrared spectra of the plume for three Enceladus orbits around Saturn in 2017 that show variations reflecting changes in the typical plume particle size over various timescales. We translate these spectra into information about the plume-particle's size distribution using a machine learning model trained on Mie-theory predictions for the light scattered by various tenuous particle populations. This algorithm considers multiple realizations of random noise on top of both the observed and predicted spectra in order to obtain more stable estimates of the size distribution parameters. These models reveal that the typical particle size may decrease with increasing altitude, but  this stratification is only detectable when Enceladus is far from its orbital apocenter and the plume is less active. The average particle size also appears to increase as the orbital phase increases after Enceladus passed through its apocenter during the observations on Jun 18th and Aug 2nd, but not during the observation on Aug 28th. Secondly, the maximum particle size in the plume appears to be elevated on Aug 2nd, which may be due to a highly collimated jet that was active only on that date. These patterns might indicate that there are different sources for the particles and their intensity may be changing over time.
DOI: 10.7923/gmx1-8g34
title: Data from: DNA methylation of two heat-stress genes in redband trout from contrasting thermal environments

description: Epigenetic variation is a potential pathway for rapid response to environmental change and may influence local adaptation at the population level through population by environment interactions. Here, we focus on the most well-understood mechanism of epigenetic variation, DNA-methylation. Previous lab studies have shown consistent ecotypic variation in DNA-methylation, but few have attempted to quantify epigenetic variation in natural populations. We developed a study to compare levels of DNA-methylation in two heat-stress related genes in redband trout (Oncorhynchus mykiss gairdneri) from contrasting environments. We sampled trout populations from cold montane and warm desert streams at repeated intervals, collecting tissue samples that were used for epigenetic analysis and levels of DNA-methylation (percent methylation) were quantified using targeted bisulfite sequencing. There were no differences among fish from contrasting ecotypes in methylation at heat shock protein 70 (HSP70) or heat shock protein 47 (HSP47), indicating that seasonal changes in DNA methylation may occur at finer spatial scales than at the level of ecotype. However, there was significant variation in DNA methylation level between montane populations at heat shock protein 47. These findings suggest that DNA methylation is unlikely to act as a source of plastic adaptive phenotypic variation in natural redband trout populations and therefore may not contribute greatly to thermal adaptation in coldwater fishes. Further research is needed to better inform whether and when DNA methylation might act as a of adaptive phenotypic variation, and more specifically, how population-level adaptation may influence epigenetic change in wild populations.
DOI: 10.7923/s6d0-3b36
title: Tree Cover Dynamics CONUS Dataset

description: The Tree Cover Dynamics (TCD) Conterminous United States (CONUS) dataset is a suite of 30 m wall-to-wall products, derived from USGS Landsat-4, Landsat-5 and Landsat-7 Collection 1 Analysis Ready Data (ARD), defining for each year: (i) the estimated percent tree cover (PTC), (ii) if tree cover loss is detected, the estimated percent tree cover decrease from the previous year (ΔPTC), (iii) if tree cover loss is detected, the Landsat acquisition dates bounding the tree cover loss event (i.e., the last valid observation before the loss, and the first valid observation after the loss) and (iv) a forest status thematic map (three thematic classes: stable forest, stable non-forest, forest cover loss). 
The products are available for every year from 1985 to 2019.
The dataset is provided as georeferenced GeoTIFF images, defined in the CONUS Albers Equal-Area Conic map projection at 30m resolution.
DOI: 10.7923/xj7r-1d86
title: Data from: Demography with drones: Detecting growth and survival of shrubs with unoccupied aerial systems

description: Large-scale disturbances, such as megafires, motivate restoration at equally large extents. Measuring the survival and growth of individual plants plays a key role in current efforts to monitor restoration success. However, the scale of modern restoration (e.g., >10,000 ha) challenges measurements of demographic rates with field data. In this study, we demonstrate how unoccupied aerial system (UAS) flights can provide an efficient solution to the tradeoff of precision and spatial extent in detecting demographic rates from the air. We flew two, sequential UAS flights at two sagebrush (Artemisia tridentata) common gardens to measure the survival and growth of individual plants. The accuracy of Bayesian-optimized segmentation of individual shrub canopies was high (73–95%, depending on the year and site), and remotely sensed survival estimates were within 10% of ground-truthed survival censuses. Stand age structure affected remotely sensed estimates of growth; growth was overestimated relative to field-based estimates by 57% in the first garden with older stands, but agreement was high in the second garden with younger stands. Further, younger stands (similar to those just after disturbance) with shorter, smaller plants were sometimes confused with other shrub species and bunchgrasses, demonstrating a need for integrating spectral classification approaches that are increasingly available on affordable UAS platforms. The older stand had several merged canopies, which led to an underestimation of abundance but did not bias remotely sensed survival estimates. Advances in segmentation and UAS structure from motion photogrammetry will enable demographic rate measurements at management-relevant extents.
DOI: 10.7923/hysd-x388
title: Annotation data from: Utilizing a comparative approach to assess genome evolution during diploidization in Artemisia tridentata (Asteraceae), a keystone species of western North America

description: Supporting dataset for genome assembly data found within NCBI BioProjects PRJNA1032953 (UTT2), PRJNA722258 (IDT2) and PRJNA795150 (IDT3-Reference Genome). Fasta assembly data used in the EDTA analysis to generate subsequent output files are available from the NCBI Genome database and raw sequence data are available from the NCBI SRA database. Each input fasta contains the nine pseudo-chromosomes described in Melton et al. 2022. Reads from each sample were mapped to the nine pseudo-chromosomes and used to call a consensus sequence. The EDTA analysis provides several outputs, listed below. The primary file of interest is the "SAMPLE_consensus.fasta.mod.EDTA.TEanno.gff3" file. This file was used as inputs for comparisons of TE content across the three genomes.
Please visit https://github.com/oushujun/EDTA for more information about the EDTA pipeline.

FILES:
SAMPLE_consensus.fasta.mod.EDTA.TEanno.gff3 == Whole-genome TE annotation
SAMPLE_consensus.fasta.mod.EDTA.TEanno.sum == Summary of whole-genome TE annotation
SAMPLE_consensus.fasta.mod.EDTA.TElib.fa == A non-redundant TE library
SAMPLE_consensus.fasta.mod.MAKER.masked == Low-threshold TE masking
DOI: 10.7923/jk5q-6876
title: Sagebrush greenhouse water use efficiency GxE phenotypic data

description: Phenotypic data related to water use efficiency (WUE) in sagebrush seedlings; specifically, stomata density and size on both leaf surfaces and the anatomy of vessels (i.e., xylem). Natural abundance stable carbon isotope data was also collected to confirm similar physiological processes between individuals analyzed within the study.
DOI: 10.7923/96mc-a063
title: Low-cost UAS platforms to quantify and predict post-fire recovery in arid shrublands

description: The data incorporate the geospatial information associated with the project, including 10 different wildfire sites in south-western Idaho, USA burnt between 1996-2015 (Welty and Jeffries 2020). Each wildfire site is approximately 2ha in area, located at the intersection of the wildfire line, spanning the burnt and unburnt parts of the landscape. The data includes four parts: (i) wildfire lines within each site digitized using GoogleEarth historic imagery; (ii) the locations of 723 points for 25 m2 plot centroids, randomly distributed within each site; (iii) individual plant geolocations for >23,000 observations mapped on the landscape with ~3 cm accuracy, including plant functional group, species, and size category; and UAS raster products including digital terrain models (DTM) and canopy height models (CHM).
DOI: 10.7923/8wrb-v347
title: Trout Size and Abundance Data from Big Jacks, Duncan, Little Jacks, Upper Mann and Keithly Creeks 2019-2022

description: Size and abundance fishery data utilized for Redband Trout habitat monitoring, habitat suitability modeling, and bioenergetics modeling at Big Jacks, Duncan, Little Jacks, Upper Mann and Keithly Creeks Idaho USA. All streams except Little Jacks Creek have three-100 meter sampling reaches (Low, Mid, Top); Little Jacks Creek only has two-100 meter sampling reaches (Low and Top).
DOI: 10.7923/pnze-z938
title: Data from: Cover crops influence soil arthropod communities, decomposition rates, and plant productivity in a subsequent cash crop

description: These data are associated with the manuscript "Cover crops influence soil arthropod communities, decomposition rates, and plant productivity in a subsequent cash crop". We compared soil arthropod communities in a cover crop polyculture, in monocultures of each of its four constituent species (flax, sunflower, spring pea, sweet clover), and a fallow control in a three-year replicated plot-scale study. We also compared the soil arthropod communities in a subsequent wheat crop to detect legacy effects. To assess the functional implications of cover crops, we measured arthropod-mediated decomposition using litterbags, and biomass and yield of the subsequent wheat crop. Soil arthropod community composition was unique under each cover crop treatment. The polyculture cover crop on average outperformed its constituent monocultures in the ability to promote soil arthropod biodiversity but did not always outperform the best performing individual monocultures. In the subsequent wheat crop, legacy effects of cover crops on soil arthropod community composition and function were similarly detected. Arthropod-mediated litter decomposition was greatest in soil following the polyculture cover crop. Yield of the subsequent wheat crop was also greater following the polyculture cover crop compared to two of its constituent monocultures. Across all treatments, arthropod biodiversity and arthropod-mediated decomposition rates were positively associated with yield in the subsequent wheat crop.
DOI: 10.7923/g4057cv5
title: Bare earth LiDAR dataset for Toolik Field Station, Alaska, 2013

description: Bare earth data were derived from discrete return LiDAR data collected near the Toolik Field Station (AK) as part of the NASA funded Terrestrial Ecology Project NNX12AK83G, PIs: Lee A. Vierling (University of Idaho, Moscow, Idaho, USA), Jan U.H. Eitel (University of Idaho, Moscow, Idaho, USA), Natalie T. Boelman (Columbia University, New York City, New York, USA), and Kevin L. Griffin (Columbia University, New York City, New York, USA). The bare earth data were derived using the software package TerraScan.  The spatial extend of the dataset is: -149.675381 (West bounding long); -148.853695 (East bounding long); 68.372569 (South bounding lat); and 68.756794 (North bounding lat). The dataset is discontinuous within this spatial extend covering the following five areas of Interest (AOIs)with approximate mile point locations on the Dalton Highway in parentheses: Roche Moutonnee Creek (263.9 miles), an unnamed site (288.8 miles), Toolik Field Station (284.3 miles), Imnavait (290.6 miles), and Sagavanirktok Department of Transportation (DOT) (305.6 miles). Data were collected August 1, 2013, with an approximate point density of 30 points/m2.
DOI: 10.7923/1z55-vq31
title: Digital aerial imagery (RGB) of dye tracer dispersion in Fernan Lake Idaho USA

description: Dataset contains raw and composite RGB digital aerial imagery collected from Fernan Lake Idaho in August 2018. Imagery is used to investigate dye dispersion experiments to determine possible nutrient flux from adjacent wetlands.

Aerial (RGB) imagery of dye tracer dispersion was captured using a Phantom 4 Pro drone.  Flight programming was done with Pix4D.

Aug 2, 2018:  
19 sequential flights were conducted (120 to 209 images captured per flight) over the same approximate area. Flights were repeated approximately every 10-15 minutes in order to capture time-series distribution of dye tracer.

Aug 30, 2018:  
20 sequential flights were conducted (122 to 159 images per flight) over the same approximate area. Flights were repeated approximately every 10-15 minutes in order to capture time-series distribution of dye tracer.

Images from each flight were stitched together using WebODM software, resulting in 19 composite images from Aug 2, 2018, and 20 composite images from Aug 30, 2018.  The resulting composite images can be viewed in sequence for a given day to observe the dispersion of dye tracer over time.
DOI: 10.7923/2kee-sq55
title: Data from: Vulnerability of northern rocky mountain forests under future drought, fire, and harvest

description: Novel climate and disturbance regimes in the 21st century threaten to increase the vulnerability of some western U.S. forests to loss of biomass and function. However, the timing and magnitude of forest vulnerabilities are uncertain and will be highly variable across the complex biophysical landscape of the region. Assessing future forest trajectories and potential management impacts under novel conditions requires place-specific and mechanistic model projections. Stakeholders in the high-carbon density forests of the northern U.S. Rocky Mountains (NRM) currently seek to understand and mitigate climate risks to these diverse conifer forests, which experienced profound 20th century disturbance from the 1910 “Big Burn” and timber harvest. Present forest management plan revisions consider approaches including increases in timber harvest that are intended to shift species compositions and increase forest stress tolerance. We utilize CLM-FATES, a dynamic vegetation model (DVM) coupled to an Earth Systems Model (ESM), to model shifting NRM forest carbon stocks and cover, production, and disturbance through 2100 under unprecedented climate and management. Across all 21st century scenarios, domain forest C-stocks and canopy cover face decline after 2090 due to the interaction of intermittent drought and fire mortality with declining Net Primary Production (NPP) and post-disturbance recovery. However, mid-century increases in forest vulnerability to fire and drought impacts are not consistently projected across climate models due to increases in precipitation that buffer warming impacts. Under all climate scenarios, increased harvest regimes diminish forest carbon stocks and increase period mortality over business-as-usual, despite some late-century reductions to forest stress. Results indicate that existing forest carbon stocks and functions are moderately persistent and that increased near-term removals may be mistimed for effectively increasing resilience.
DOI: 10.7923/xge9-gq05
title: GEM3-Redband trout collection reports

description: Final Redband Trout collection datasets submitted to Idaho Department of Fish and Game (IDFG) in fulfillment of scientific collection permit requirements. Documents the location and reproductive stage of trout captured and transported in 2019 and 2020 to common garden experiments at the University of Idaho Hagerman Fish Culture Experiment Station. Collection locations include: Fawn, Whiskey Jack, Keithly, Williams, Pole Bridge, Duncan, Big Jacks, Little Jacks, Trail, Callahan, Boulder and Upper Mann creeks.
DOI: 10.7923/dkhx-0419
title: Data: Complex life histories predispose aphids to recent decline
DOI: 10.7923/tmcg-p106
title: Data from: Building a bridge between adaptive capacity and adaptive potential to understand responses to environmental change

description: Adaptive capacity is a topic at the forefront of environmental change research with roots in both social, ecological, and evolutionary science. It closely related to the evolutionary biology concept of adaptive potential. In this systematic literature review we: 1) Summarize the history of these topics and related fields; 2) Assess relationship(s) between the concepts among disciplines and the use of the terms in climate change research, and evaluate methodologies, metrics, taxa biases, and the geographic scale of studies; and 3) Provide a synthetic conceptual framework to clarify concepts. Bibliometric analyses revealed the terms have been used most frequently in conservation and evolutionary biology journals, respectively. There has been a greater growth in studies of adaptive potential than adaptive capacity since 2001, but a greater geographical extent of adaptive capacity studies. Few studies include both, and use is often superficial. Our synthesis considers adaptive potential as one process contributing to adaptive capacity of complex systems, notes ‘sociological’ adaptive capacity definitions include actions aimed at desired outcome (i.e., policies) as a system driver whereas ‘biological’ definitions exclude such drivers, and suggests models of adaptive capacity require integration of evolutionary and social-ecological system components.
DOI: 10.7923/xnej-7h18
title: Data from: Constraining low-altitude lunar dust using the LADEE/UVS data
DOI: 10.7923/3yxs-qk65
title: Data from: Important airborne lidar metrics of canopy structure for estimating snow interception
DOI: 10.7923/j1ns-ws38
title: Data from: Fish carcasses alter subyearling Chinook salmon dispersal behavior and density but not growth in experimental mesocosms
DOI: 10.7923/1vqa-m812
title: Activity Recognition Model: Sensor (AS), GNSS, Time and Motion Study (TM), and Individual Tree Data
DOI: 10.7923/vvze-7642
title: Data from: Forest carbon emission sources are not equal: putting fire, harvest, and fossil fuel emissions in context

description: Climate change has intensified the scale of global wildfire impacts in recent decades. To help policymakers and managers avoid these unintended carbon consequences and to present carbon emission sources in the same context, we calculate western US forest fire carbon emissions and compare them with harvest and fossil fuel emissions over the same timeframe. We find that forest fire carbon emissions are on average only 6% of anthropogenic fossil fuel emissions (FFE) over the past decade. While wildfire occurrence and area burned have increased over the last three decades, per area fire emissions for extreme fire events are relatively constant. In contrast, harvest of mature trees releases a higher density of carbon emissions (e.g., per unit area) relative to wildfire (150-800%) because harvest causes a higher rate of tree mortality than wildfire. Shown in context, our results demonstrate that reducing FFEs will do more for climate mitigation potential (and subsequent reduction of fire) than increasing extractive harvest to prevent fire emissions.
DOI: 10.15468/dl.dtnwda
title: Occurrence Download

description: A dataset containing 71 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hilsa kelee",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 71 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016974-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7923/qgmb-ht58
title: Data from: CO2e Footprint and Eco-Impact of Ultralow Phosphorus Removal by Hydrous Ferric Oxide Reactive Filtration: A Municipal Wastewater LCA Case Study
DOI: 10.7923/6xrt-qb81
title: Data from: Lost in the woods: Forest vegetation, and not topography, most affects the connectivity of mesh radio networks for public safety
DOI: 10.7923/cn15-jw37
title: Data from: Boosts in leaf-level photosynthetic capacity aid Pinus ponderosa recovery from wildfire

description: Forests mitigate climate change by sequestering massive amounts of carbon, but recent increases in wildfire activity are threatening carbon storage. Currently, our understanding of wildfire impacts on forest resilience and the mechanisms controlling post-fire recovery remains unresolved due to a lack of empirical data on mature trees in natural settings. Here, we quantify the physiological mechanisms controlling carbon uptake immediately following wildfire in mature individuals of ponderosa pine (Pinus ponderosa), a wide-spread and canopy-dominant tree species in fire-prone forests. While photosynthetic capacity was lower in burned than unburned trees due to an overall depletion of resources, we show that within the burned trees, photosynthetic capacity increases with the severity of damage. Our data reveal that boosts in the efficiency of carbon uptake at the leaf-level may compensate for whole-tree damage, including the loss of leaf area and roots. We further show that heightened photosynthetic capacity in remaining needles on burned trees may be linked with reduced water stress and leaf nitrogen content, providing pivotal information about post-fire physiological processes. Our results have implications for Earth system modeling efforts because measurements of species-level physiological parameters are used in models to predict ecosystem and landscape-level carbon trajectories. Finally, current land management practices do not account for physiological resilience and recovery of severely burned trees. Our results suggest premature harvest may remove individuals that may otherwise survive, irrevocably altering forest carbon balance.
DOI: 10.7923/ctsf-j095
title: Fine-scale habitat patches of Idaho attributed with climatic, topographic, soil, vegetation, and disturbance variables

description: This data publication contains approximately 44.3 million polygons derived from multi-scale object-oriented image analysis attributed with climatic, topographic, soil, vegetation, and disturbance variables. The polygons provide continuous coverage for the entire state of Idaho, USA. Additionally, this publication contains the parameters for lasso logistic regression models generated to predict the probability of plant species occurrence using the variables attributed to each polygon.
DOI: 10.7923/2z54-2v65
title: Data from: Evaluating Coordinative Binding Mechanisms through Experimental and Computational Studies of Methoxy-substituted Arylazothioformamide Copper(I) Complexes

description: UV-Vis spectroscopic titration studies of ATF ligands 6, 8 and 10 with Cu salts were prepared as follows: ligand solutions were prepared to 1.45 x 10-4 M in acetonitrile.  1.2 mL of ATF solution was added to a quartz cuvette. Titrations were performed with Cu halide salts and [N(Bu4)2(µ-I)-Cu2I4] utilizing 1.35 mM stock solutions in acetonitrile and sequentially adding 13 µL (roughly 0.1 equivalent of metal salt) until reaching a metal salt concentration of three equivalents (a final volume of 2.0 mL); [(CH3CN)4CuI]BF4 salts titrations were performed in the same manner as above to a final 1.5 equivalents. Each titration was performed in triplicate.