cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25338/b80s3j
title: Pharmaceutical Effects of Inhibiting the Soluble Epoxide Hydrolase in Canine Osteoarthritis

description: Osteoarthritis (OA) is a degenerative joint disease that causes pain and
 bone deterioration driven by an increase in prostaglandins and
 inflammatory cytokines. Current treatments focus on inhibiting
 prostaglandin production, a pro-inflammatory lipid metabolite, with NSAID
 drugs; however, other lipid signaling targets could provide safer and more
 effective treatment strategies. Epoxides of polyunsaturated fatty acids
 are anti-inflammatory lipid mediators that are rapidly metabolized by the
 soluble epoxide hydrolase (sEH) into corresponding vicinal diols. sEH
 inhibitors (sEHI) stabilize these biologically active, anti-inflammatory
 lipid epoxides and are analgesic in both neuropathic and inflammatory pain
 conditions. Additionally, increased diols have been observed in the
 synovial fluid of humans with OA, warranting further research on the
 biological role of this pathway in the progression of OA. Most
 experimental studies testing the analgesic effects of sEH inhibitors have
 used experimental rodent models which do not completely represent the
 complex etiology of painful diseases. Here, we tested the efficacy of sEH
 inhibitors in aged dogs with natural arthritis to provide a better
 representation of the clinical manifestations of pain. Two sEHI were
 administered orally, once daily for five days to dogs with naturally
 occurring arthritis to assess efficacy and pharmacokinetics. Blinded
 technicians recorded the behavior of the arthritic dogs based on
 pre-determined criteria to assess pain and function. After five days,
 EC1728 significantly reduced cumulative pain at a dose of 5 mg/kg compared
 to vehicle controls. Pharmacokinetic evaluation showed concentrations
 exceeding the enzyme potency in both plasma and synovial fluid. In vitro
 data showed that epoxyeicosatrienoic acid (EETs), epoxide metabolites of
 arachidonic acid, decreased inflammatory cytokines, IL-6 and TNF-α, in
 canine chondrocytes challenged with IL1β to simulate an arthritic
 environment. These results provide proof of concept that inhibiting the
 sEH is a non-NSAID, non-opioid strategy for treating osteoarthritis.
DOI: 10.6086/d1rd5x
title: Final Fault Slip BSZ JGRB53332

description: This is the dataset (Final Fault Slip) corresponding to the "Dynamic
 rupture scenarios in the Brawley seismic zone, Salton Trough, southern
 California" paper published in the Journal of Geophysical Research,
 Solid Earth, 2019, DOI: 10.1029/2018JB016795. This dataset includes the
 final fault slip from dynamic rupture experiments described in the paper
 above.
description: Please read the paper for further details
DOI: 10.15468/dl.qv2987
title: Occurrence Download

description: A dataset containing 230119 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Issue is Coordinate rounded",
 "TaxonKey is Rana"
 ]
}

 The dataset includes 230119 records from 407 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001848-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.4hc8k1r
title: Data from: Intergenerational effects of early adversity on survival in wild baboons

description: Early life adversity can affect an individual's health, survival, and
 fertility for many years after the adverse experience. Whether early life
 adversity also imposes intergenerational effects on the exposed
 individual's offspring is not well understood. We fill this gap by
 leveraging prospective, longitudinal data on a wild, long-lived primate.
 We find that juveniles whose mothers experienced early life adversity
 exhibit high mortality before age 4, independent of the juvenile's
 own experience of early adversity. These juveniles often preceded their
 mothers in death by 1 to 2 years, indicating that high adversity females
 decline in their ability to raise offspring near the end of life. While we
 cannot exclude direct effects of a parent's environment on offspring
 quality (e.g., inherited epigenetic changes), our results are completely
 consistent with a classic parental effect, in which the environment
 experienced by a parent affects its future phenotype and therefor e its
 offspring's phenotype.
description: Dataset for Multivariate
 AnalysisAnonymous data necessary
 to recreate the multivariate analysis.dataset for multivariate
 analysis.csvDataset for Survival to
 Age 2 AnalysisAnonymous data necessary
 to recreate the analysis of offspring survival to age
 2.R
 scriptThis R script reproduces
 the analyses presented in the main text.Intergenerational Adversity
 Script for Dryad.R
DOI: 10.6086/d1fw9g
title: Deep Learning-based Eco-driving System for Battery Electric Vehicles

description: The uninterrupted growth in transportation activities, for both people and
 goods movement, have been exerting significant pressure on our
 socio-economics and environment. However, emerging technologies such as
 connected and automated vehicles (CAVs), transportation electrification,
 and edge computing have been stimulating more and more dedicated efforts
 by engineers, researchers and policymakers to tackle the
 transportation-related problems, including those energy and environment
 focused. The eco-driving strategies based on CAV technology particularly
 attract significant interest from all over the world due to its great
 potential in energy saving as well as tail-pipe emissions reduction. Among
 all CAV based eco-driving strategies, the Eco-Approach and Departure (EAD)
 at Signalized Intersections application has shown most significant
 promise. In this system, an equipped vehicle can take advantage of the
 signal phase and timing (SPaT) and geometric intersection description
 (GID) information from the upcoming signalized intersection and calculate
 the optimal speed to pass on a green light or to decelerate to a stop in
 the most eco-friendly manner. Speed recommendations may be provided to the
 driver using a driver-vehicle-interface (DVI) or to the vehicle systems
 that support automated longitudinal control capabilities. In this project,
 the research team conducted a thorough literature review on EAD
 algorithms, and identified a few major research gaps in the corresponding
 area, including 1) the balance between system optimality and computational
 efficiency; 2) designated algorithms for electric vehicles (e.g.,
 consideration of regenerative braking); and 3) taking into account of
 downstream traffic information (e.g., prediction of preceding vehicle’s
 state). To address these gaps, the research team proposed a deep-learning
 based trajectory planning algorithm (DLTPA) for EAD application, which can
 be considered as an approximation of a global optimal algorithm (called
 graph-based trajectory planning algorithm or GTPA) that the research team
 previously developed. The proposed DLTPA has two processes: offline
 (training) and online (implementation), and is composed of two major
 modules: 1) solution feasibility checker which identifies if there is a
 feasible trajectory subject to all the system constraints, e.g., maximum
 acceleration or deceleration; and 2) a regressor to predict the speed of
 next time step. Preliminary simulation study in VISSIM showed that the
 proposed DLTPA can achieve a great balance of energy savings vs.
 computational efforts, compared to the baseline scenario where no EAD was
 implemented and the optimal solution (in terms of energy savings) provided
 by GTPA.
DOI: 10.25338/b8dw39
title: Signatures of Environmental Adaptation During Range Expansion of Wild Common Bean (Phaseolus vulgaris)

description: Landscape genomics integrates population genetics with landscape ecology,
 allowing the identification of putative molecular determinants involved in
 environmental adaptation across the natural geographic and ecological
 range of populations. Wild Phaseolus vulgaris, the progenitor of common
 bean (P. vulgaris), has a remarkably extended distribution over 10,000 km
 from northern Mexico to northwestern Argentina. Earlier research has shown
 that this distribution represents a range expansion from Mesoamerica to
 the southern Andes through several discrete migration events and that the
 species colonized areas with different temperature and rainfall compared
 to its core area of origin. Thus, this species provides an opportunity to
 examine to what extent adaptation of a species can be broadened or,
 conversely, ecological or geographical distribution can be limited by
 inherent adaptedness. In the current study, we applied a landscape
 genomics approach to a collection of 246 wild common bean accessions
 representative of its broad geographical and climatic distribution and
 genotyped for ~20K SNPs. We applied two different but complementary
 approaches for identifying loci putatively involved in environmental
 adaptation: i) an outlier-detection method that identifies loci showing
 strong differentiation between sub-populations; ii) an association method
 based on the identification of loci associated with bio-climatic
 variables. This integrated approach allowed the identification of several
 genes showing signature of selection across the different natural
 sub-populations of this species, as well as genes associated with specific
 bio-climatic variables related to temperature and precipitation. The
 current study demonstrates the feasibility of landscape genomics approach
 for a preliminary identification of specific populations and novel
 candidate genes involved in environmental adaptation in P. vulgaris. As a
 resource for broadening the genetic diversity of the domesticated gene
 pool of this species, the genes identified constitute potential molecular
 markers and introgression targets for the breeding improvement of
 domesticated common bean.
description: See Ariani A, Berny Mier y Teran J, Gepts P. Spatial and temporal
 scales of range expansion in wild Phaseolus vulgaris. Molecular Biology
 and Evolution. 2018;35(1):119-31. doi: 10.1093/molbev/msx273.
DOI: 10.15146/r3nm3s
title: Datasets for MRMT

description: Purpose of this study is to evaluate the capacity of a
 previously-developed upscaling approach to adequately describe main solute
 transport processes including the capture of late-time tails under
 changing boundary conditions. Potential factors that impact the
 performance of upscaling methods, including temporal variations in mass
 transfer rates and mass distributions were investigated.
 Advective-dispersive contaminant transport in a 3D heterogeneous domain
 was simulated and used as a reference solution. Equivalent transport under
 homogeneous flow conditions were then evaluated applying the Multi-Rate
 Mass Transfer (MRMT) model. The random walk particle tracking method was
 used to solve the solute transport for heterogeneous and homogeneous-MRMT
 scenarios under steady state and transient conditions.
DOI: 10.7280/d1r67v
title: Data from: Multichannel Stroboscopic Videography (MSV): A technique for visualizing multiple channels for behavioral measurements.

description: Biologists commonly visualize dierent features of an organism using
 distinct sources of illumination. Multichannel imaging has
 largely not been applied to behavioral studies due to the challenges posed
 by a moving subject. We address this challenge with the technique
 of Multichannel Stroboscopic Videography (MSV), which synchronizes
 multiple strobe lights with video exposures of a single camera. We
 illustrate the utility of this approach with kinematic measurements of a
 walking cockroach (Gromphadorhina portentosa) and calculations of the
 pressure field around a swimming fish (Danio rerio). In both,
 transmitted illumination generated high-contrast images of the
 animal's body in one channel. Other sources of illumination
 were used to visualize the points of contact for the feet of the
 cockroach and water flow around the fish in separate channels.
 MSV provides an enhanced potential for high-throughput
 experimentation and the capacity to integrate changes in
 physiological or environmental conditions in freely-behaving animals.
description: The data package contains the raw image sequences for both
 experimental tests (cockroach and zebrafish) of MSV, the Matlab codes used
 to analyze the images, and the output data from the Matlab scripts. These
 data have not been post-processed. The manuscript figures contain
 processed versions of these data.
DOI: 10.5061/dryad.64c7s74
title: Data from: An effective method for ecosystem-scale manipulation of bird abundance and species richness

description: Manipulation experiments are a cornerstone of ecological research, but can
 be logistically challenging to execute – particularly when they are
 intended to isolate the ecological role of large, vagile species, like
 birds. Despite indirect evidence that birds are influential in many
 ecosystems, large-scale, multi-year bird manipulation experiments are
 rare. When these studies are conducted, they are typically realized with
 caged or netted exclosures, an approach that can be expensive, risky for
 wildlife, and difficult to maintain. In cases where caged exclosures are
 not appropriate, alternate approaches are needed to allow rigorous
 empirical studies on the ecological role of birds. Here, we present and
 validate a method for experimentally increasing the abundance and richness
 of birds at the scale of entire aquatic ecosystems. Unlike bird exclusion,
 this approach is experimentally tractable, appealing to land managers, and
 possible to deploy over large spatial scales. We tested the efficacy of
 our approach for increasing bird abundance and species richness at 16
 central California ponds. Based on bird visitation data obtained by summer
 camera trapping, our approach significantly increased bird species
 richness and abundance at manipulated ponds compared to control ponds.
 Attractant treatments mitigated the negative effects of a major drought on
 bird species richness, and generated a near-doubling of bird abundance in
 the presence of attractants. Treatments had no effect on most mammal
 species, with the exception of ground squirrels, which increased in
 abundance in the presence of attractants. These results suggest that
 attractants are effective in increasing bird abundance and richness. We
 encourage researchers to consider this approach for experimentally
 isolating the ecological role of birds in aquatic and open terrestrial
 ecosystems, especially in cases where cost or logistical constraints
 preclude the use of caged or netted exclosures.
description: Data on bird abundance
 from trail camerasFor each trail camera
 photo, counts of each bird species, site name, site treatment, date, and
 timetrail_camera_data_2019.07.13.csv
DOI: 10.25338/b84c75
title: Supporting data for the manuscript: Observations and modeling of the surface seiches of Lake Tahoe, USA

description: This data set was created to make the data associated with the
 manuscript Observations and modeling of the surface seiches of
 Lake Tahoe, USA, accepted for publication in Aquatic
 Sciences, publically available per journal convention.
 The publication abstract is shown below: A rich array of spatially complex
 surface seiche modes exists in lakes. While the amplitude of these
 oscillations is often small, knowledge of their spatio-temporal
 characteristics is valuable for understanding when they might be of
 localized hydrodynamic importance. The expression and impact of these
 basin-scale barotropic oscillations in Lake Tahoe are evaluated using a
 finite-element numerical model and a distributed network of ten
 high-frequency nearshore monitoring stations. Model-predicted nodal
 distributions and periodicities are confirmed using the presence/absence
 of spectral power in measured pressure signals, and using
 coherence/phasing analysis of pressure signals from stations on common and
 opposing antinodes. Surface seiches in Lake Tahoe have complex nodal
 distributions despite the relative simplicity of the basin morphometry.
 Seiche amplitudes are magnified on shallow shelves, where they
 occasionally exceed 5 cm; elsewhere, amplitudes rarely exceed 1 cm. There
 is generally little coherence between surface seiching and littoral water
 quality. However,pressure-temperature coherence at shelf sites suggests
 potential seiche-driven pumping. Main-basin seiche signals are present in
 attached marinas, wetlands, and bays, implying reversing flows between the
 lake and these water bodies. On the shallow sill connecting Emerald Bay to
 Lake Tahoe, the fundamental main-basin seiche combines with a zeroth-mode
 harbor seiche to dominate the cross-sill flow signal, and to drive
 associated temperature fluctuations. Results highlight the importance of a
 thorough descriptive understanding of the resonant barotropic oscillations
 in any lake basin in a variety of research and management contexts, even
 when the magnitude of these oscillations tends to be small.  
description: Details on individual data files, including collection and
 processing, are included in the "ReadMeReference...txt" files
 included in the data set.
DOI: 10.6071/m3066d
title: Remineralizing Enamel : A Literature Review

description: Background: Tooth enamel is a non-living tissue, once matured it can no
 longer remineralization itself. Unfortunately, there are only a few
 studies that analyze the risks and benefits in applications towards
 remineralization. The objective was to examine the effectiveness and risks
 of synthetic applications towards remineralizing tooth enamel. Methods:
 Experimental trials focusing on the effect of synthetic applications on
 tooth enamel such as, surface hardness, surface thickness and overall
 effectiveness were included in this review. Published articles from 1978
 to 2018 were identified using specific keywords terms in the ScienceDirect
 and PubMed database. Each study was independently screened to meet
 eligibility and asses risk of bias, if any. Results: Seven experimental
 reports applying three synthetic methods: Ca/PI ratios of stimulated
 saliva, Nano-hydroxyapatite and Calcarea Fluorica tablets were evaluated.
 Application process and outcomes varied throughout each study. Ca/PI
 ratios of stimulated saliva did not affect the remineralization process
 significantly (P &gt; 0.5) and was associated with no harms on the
 molars used. Studies evaluating the use of synthetic nano-hydroxyapatite
 displayed statistically significant (P &lt; 0.5) outcomes towards
 remineralization increasing surface hardness and thickness. One study
 analyzed the effects of Calcarea Fluorica tablets reporting the most
 overall increase in remineralization but mostly towards surface hardness,
 as well as being statistically significant (P &lt; 0.5). Conclusion:
 Studies were limited and short term, leaving room for error and
 miscalculation. However, there is data that expresses overall positive
 effects towards remineralization. The results show a need for future
 experimental trials on synthetics to get a better understanding in this
 area. Key Words: Tooth Enamel, Remineralization, Demineralization, Erosion
 and Lesion Caries.
DOI: 10.5061/dryad.f33n0s8
title: Data from: The presubiculum links incipient amyloid and tau pathology to memory function in older persons

description: Objective: To identify the hippocampal subregions linking initial amyloid
 and tau pathology to memory performance in clinically normal older
 individuals, reflecting preclinical Alzheimer’s disease (AD). Methods: A
 total of 127 individuals from the Harvard Aging Brain Study (Mean age:
 76.22 years ± 6.42, 68 females (53.5%)) with a Clinical Dementia Rating
 score of 0, a flortaucipir tau-PET scan, a Pittsburgh Compound B
 amyloid-PET scan, a structural MRI scan and cognitive testing were
 included. From these images, we calculated neocortical, hippocampal and
 entorhinal amyloid pathology, entorhinal and hippocampal tau pathology and
 the volumes of six hippocampal subregions and total hippocampal volume.
 Memory was assessed with the selective reminding test. Mediation and
 moderation analyses modeled associations between regional markers and
 memory. Analyses included covariates for age, sex and education. Results:
 Neocortical amyloid, entorhinal tau and presubiculum volume univariately
 associated with memory performance. The relationship between neocortical
 amyloid and memory was mediated by entorhinal tau and presubiculum volume,
 which was modified by hippocampal amyloid burden. With other biomarkers
 held constant, presubiculum volume was the only marker predicting memory
 performance in the total sample and in individuals with elevated
 hippocampal amyloid burden. Conclusions: The presubiculum captures unique
 AD-related biological variation that is not reflected in total hippocampal
 volume. Presubiculum volume may be a promising marker of imminent memory
 problems, and can contribute to understanding the interaction between
 incipient AD-related pathologies and memory performance. The modulation by
 hippocampal amyloid suggests that amyloid is a necessary process – but not
 sufficient – to drive neurodegeneration in memory-related regions.
description: Suppl_powerpointSupplemental Figures e1-4 supporting the methods and results described in the manuscript. Figure e-1 shows the comparison of FreeSurfer version 6.0 subregion volumes calculated with different pipelines; Figure e-2 shows the signal-to-noise ratio of PiB-PET in three different regions. Figure e-3 shows the relationship between biomarkers and memory performance (colour-coded by amyloid status). Figure e-4 displays the power evaluation of the model fit of the path analyses.
DOI: 10.5061/dryad.h7t362d
title: Data from: Metropolitan lizards? Urbanization gradient and the density of lagartixas (Tropidurus hispidus) in a tropical city

description: Urbanization, with its cohort of environmental stressors, has a dramatic
 effect on wildlife, causing loss of biodiversity and decline in population
 abundance customarily associated with increasing levels of impervious
 surface and fragmentation of native habitats. Some studies suggest that
 faunal species from open habitats, and with higher abundance in natural
 environments, seem more likely to tolerate and live in urban environments.
 Here I evaluate how the level of urbanization affects lagartixas
 (Tropidurus hispidus) one of the most common lizards found in open
 vegetation ecosystems in NE Brazil. I surveyed a total of 47 transects
 across sites that differed in proportion of impervious surface (high,
 mild, peri-urban and rural). I also collected specific biotic (herbaceous
 cover, tree and arthropod abundance) and abiotic (amount of shelters and
 impervious surfaces) factors that could affect lagartixas abundance. Ants
 were the most common arthropod both in the rural and urban environment.
 Lagartixas thrive in urban environments and trees and shelter were key
 predictors of their abundance. Lagartixas show a clear association with
 use of artificial structures. The low densities of lagartixas in rural
 areas and higher density in urbanized areas suggests that they colonized
 urban areas due to the hard surfaces and they probably are not exploiting
 a novel habitat, but somewhat responding to conditions resembling those in
 which they evolved. Finally, lagartixas are extremely common in tropical
 cities, they have a suite of features that are associated with selective
 pressures in cities and they might play a key functional role in urban
 ecosystems making this lizard an excellent system for the study of ecology
 and adaptation to the urban environments.
description: Lagartixas data
 densityData collected during
 the surveys used for estimating the density of lagartixas via distance
 sampling software.Final
 microhabitatsFile containing data
 used for the multiple regression analyses. It includes abundance of
 lizards, number of shelter by transects, abundance of trees and
 arthropods, proportion of herbaceous cover. For further details see
 methods.