cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.agriculture.00082
title: Wholesale market transaction price survey statistical data set of Chinese Cucumber from 2012 to 2022
title: 2012–2022年中国黄瓜批发市场交易价格调查统计数据集

description: The data set mainly includes text data and image data of wholesale market prices of Chinese Cucumber at different temporal scales from 2012 to 2022. (1) Text data set comprised of 4 Excel files, a total of 14337 pieces of data. The data included 5049, monthly, quarterly and annual average price data of Cucumber in 27 provinces (autonomous regions, municipalities directly under the central government), and 9288 sequential and year-on-year change rates of Cucumber from 2012 to 2022; (2) Picture data set includes 164 broken lines graphs reflecting the average price of Chinese Cucumber and its rate of change at different temporal scales from 2012 to 2022.This data set can provide scientific basis for cucumber industry layout optimization, market analysis and research, price fluctuation rule and price prediction. It can provide important scientific support for relevant government departments to guide planting layout and stabilize cucumber price.
description: The data set mainly includes text data and image data of wholesale market prices of Chinese Cucumber at different temporal scales from 2012 to 2022. (1) Text data set comprised of 4 Excel files, a total of 14337 pieces of data. The data included 5049, monthly, quarterly and annual average price data of Cucumber in 27 provinces (autonomous regions, municipalities directly under the central government), and 9288 sequential and year-on-year change rates of Cucumber from 2012 to 2022; (2) Picture data set includes 164 broken lines graphs reflecting the average price of Chinese Cucumber and its rate of change at different temporal scales from 2012 to 2022.This data set can provide scientific basis for cucumber industry layout optimization, market analysis and research, price fluctuation rule and price prediction. It can provide important scientific support for relevant government departments to guide planting layout and stabilize cucumber price.
DOI: 10.6078/d1qt36
title: Data from: Neglected very long-chain hydrocarbons and the incorporation of body surface area metrics reveal novel perspectives for cuticular profile analysis in insects

description: Most of our knowledge on insect cuticular hydrocarbons (CHCs) stems from
 analytical techniques based on gas-chromatography coupled with mass
 spectrometry (GC-MS). However, this method has its limits under standard
 conditions, particularly in detecting compounds beyond a chain length of
 around C40. Here, we compare the CHC chain length range detectable by
 GC-MS with the range assessed by silver-assisted laser
 desorption/ionization mass spectrometry (Ag-LDI-MS), a novel and rarely
 applied technique on insect CHCs, in seven species of the order Blattodea.
 For all tested species, we unveiled a considerable range of very
 long-chain CHCs up to C58, which are not detectable by standard GC-MS
 technology. This indicates that general studies on insect CHCs may
 frequently miss compounds in this range, and we encourage future studies
 to implement analysis techniques extending the conventionally accessed
 chain length ranges. Furthermore, we incor-porate 3D scanned insect body
 surface areas as an additional factor for the comparative quantifi-cation
 of extracted CHC amounts between our study species. CHC quantity
 distributions differed considerably when adjusted for body surface areas
 as opposed to directly assessing extracted CHC amounts, suggesting that a
 more accurate evaluation of relative CHC quantities can be achieved by
 taking body surface areas into account.
description: Gas-chromatography coupled with mass spectrometry
 (GC-MS) Silver-assisted laser desorption/ionization
 mass spectrometry (Ag-LDI-MS) DISC3D extended depth of
 field (EDOF) imaging technology
DOI: 10.6076/d1s596
title: Leapfrog dynamics in phage-bacteria coevolution revealed by joint analysis of cross-infection phenotypes and whole genome sequencing

description: Viruses and their hosts can undergo coevolutionary arms races where hosts
 evolve increased resistance and viruses evolve counter-resistance. Given
 these arms race dynamics (ARD), both players are predicted to evolve along
 a single trajectory as more recently evolved genotypes replace their
 predecessors. By coupling phenotypic and genomic analyses of coevolving
 populations of bacteriophage lambda and Escherichia
 coli, we find conflicting evidence for ARD. Virus-host infection
 phenotypes fit the ARD model, yet genomic analyses revealed fluctuating
 selection dynamics (FSD). Rather than coevolution unfolding along a single
 trajectory, cryptic genetic variation emerges and is maintained at low
 frequency for generations until it eventually supplants dominant lineages.
 These observations suggest a hybrid ‘leapfrog’ dynamic, revealing
 weaknesses in the predictive power of standard coevolutionary models. The
 findings shed light on the mechanisms that structure coevolving ecological
 networks and reveal the limits of using phenotypic or genomic data alone
 to differentiate coevolutionary dynamics.
DOI: 10.5061/dryad.9zw3r22gj
title: Trophoblast inclusions and pregnancy characteristics

description: Objective Trophoblast inclusions—cross sections of abnormal trophoblast
 bilayer infoldings— have previously been associated with aneuploidy,
 placenta accreta, and prematurity. This study was conducted to establish
 the relationship between trophoblast inclusions and a range of placental,
 pregnancy, and birth outcomes in a patient population with high smoking
 and alcohol exposure. Specifically, we sought to evaluate the
 association between the presence of trophoblast
 inclusions and 1) three primary birth outcomes: full-term birth,
 preterm birth, and stillbirth; 2) gestational age at delivery; and 3)
 specific placental pathologies. Methods Two slides containing chorionic
 villi were evaluated from 589 placentas that were collected from
 Stellenbosch University in Cape Town, South Africa as part of the
 prospective, multicenter cohort Safe Passage Study of the Prenatal Alcohol
 and SIDS and Stillbirth Network. The subsample included 307 full-term live
 births, 212 preterm live births, and 70 stillbirths. Results We found that
 the odds of identifying at least one trophoblast inclusion across two
 slides of chorionic villi was significantly higher for placentas from
 preterm compared to term liveborn deliveries (OR = 1.74; 95% CI: 1.22,
 2.49, p = 0.002), with an even greater odds ratio for
 placentas from stillborn compared to term liveborn deliveries (OR = 4.95;
 95% CI: 2.78, 8.80, p &lt; 0.001). Gestational age
 at delivery was inversely associated with trophoblast inclusion frequency.
 Trophoblast inclusions were significantly associated with small for
 gestational age birthweight, induction of labor, villous edema, placental
 infarction, and inflammation of the chorionic plate. Conclusions The novel
 associations that we report warrant further investigation in order to
 understand the complex network of biological mechanisms through which the
 factors that lead to trophoblast inclusions may influence or reflect the
 trajectory and health of a pregnancy. Ultimately, this line of research
 may provide critical insights that could inform both clinical and research
 applications.
DOI: 10.5061/dryad.98sf7m0kn
title: Data from: The war of corals: patterns, drivers, and implications of changing coral competitive performances across reef environments

description: Amidst global environmental changes, predicting species responses to
 future environments is a critical challenge for preserving biodiversity
 and associated human benefits. We explored the original idea that coral
 competitive performances, the ability of corals to preempt ecological
 space on the reef through territorial warfare, serve as indicators of
 species’ ecological niches and environmental windows, and therefore,
 responses to future environments. Our surveys indicated that coral
 performances varied with taxonomic-identity, size, and position along
 environmental gradients, highlighting complex interplays between
 life-history, warfare-strategy, and niche segregation. Our results
 forewarn that growing alterations of coastal environments may trigger
 shifts in coral dominance, with decline of major reef-building taxa like
 acroporids, and underscore the importance of restraining human impacts for
 coastal resilience. Our empirical approach untangles the complexity of
 species’ battle-like interactions and can help identify winners and losers
 in various communities caught in the interplay between ecological niches,
 environmental windows, and global changes.
DOI: 10.5061/dryad.cfxpnvx6t
title: Data and code corresponding to: Contemporary evolution rivals the effects of rhizobium abundance on soil nitrogen availability in experimental mesocosms

description: Because genotypes within a species commonly differ in traits that
 influence other species, whole communities, or even ecosystem functions,
 evolutionary change within one key species may affect community and
 ecosystem processes. Here we use experimental mesocosms to test how the
 evolution of reduced cooperation in rhizobium mutualists in response to 20
 years of nitrogen fertilization compares to the effects of rhizobium
 abundance on soil nitrogen availability and plant community composition
 and diversity. The evolution of reduced rhizobium cooperation caused
 reductions in soil nitrogen that were as strong, or even stronger, than
 substantially reducing rhizobium mutualist abundance in a community.
 Effects of both rhizobium evolution and rhizobium inoculation on legume
 dominance, plant community composition, and plant species diversity were
 much smaller in magnitude, but suggest that rhizobium evolution can alter
 the relative abundance of plant functional groups. Our findings indicate
 that the consequences of rapid microbial evolution for ecosystems and
 communities can rival the effects resulting from the presence or abundance
 of keystone mutualists.
description: We conducted a greenhouse experiment manipulating rhizobium
 evolutionary history (rhizobia isolated from long-term nitrogen addition
 treatments or adajacent control plots) and rhizobium abundance
 (uninoculated) on experimental mesocosms simulating early successional
 plant communities. Data was originally collected on hard copy datasheets,
 was entered into spreadsheets, and proofed for errors. A number of values
 in the accompanying data files are calculations based on raw data (e.g.,
 diversity indices), but the data has not otherwise been
 modified.
description: This dataset includes a number of files: 1) A
 ReadMe file that introduces the dataset and provides more detailed
 explanations for each column header 2) SAS code that
 describes the statistical analyses presented in the main text and in
 Tables S1-S8. 3) R code that can be used to reproduce
 the figures in the main text. 4) The plant growth,
 foliar nutrient content, and soil nitrogen data. Within
 the data file, missing values are indicated by n/a.
DOI: 10.5061/dryad.44j0zpcfv
title: The ecological stage maintains preference differentiation and promotes speciation

description: Influential models of speciation by sexual selection posit either a single
 shared preference for a universal display, expressed only when males are
 locally adapted and hence in high condition, or that shared loci evolve
 population-specific alleles for displays and preferences. However, many
 closely related species instead show substantial differences across
 categorically different traits. We present a model of secondary contact
 whereby females maintain preferences for distinct displays that indicate
 both male condition and their match to distinct environments, fostering
 reproductive isolation among diverging species. This occurs even with
 search costs and with independent preference loci targeting independent
 displays. Such preferences can also evolve from standing variation.
 Divergence occurs because condition-dependent display and female
 preference depend on local ecology, and females obtain different benefits
 of choice. Given the ubiquity of ecological differences among
 environments, our model could help explain the evolution of striking
 radiations of displays seen in nature.
description: The attached files are Mathematica Code developed to analyze the
 model described in the associated manuscript.
description: The main program is in the file "Ecological Stage Loop
 example".  The code in that file was used to generate the data in the
 file.
DOI: 10.5061/dryad.cjsxksn72
title: Blood glucose modulation and safety of efferent vagus nerve stimulation in a type 2 diabetic rat model

description: Vagus nerve stimulation is emerging as a promising treatment for type 2
 diabetes. Here, we evaluated the ability of stimulation of the vagus nerve
 to reduce glycaemia in awake, freely moving metabolically compromised
 rats. A model of type 2 diabetes (n=10) was induced using a high-fat diet
 and low doses of streptozotocin. Stimulation of the abdominal vagus nerve
 was achieved by pairing 15 Hz pulses on a distal pair of electrodes with
 high-frequency blocking stimulation (26 kHz, 4 mA) on a proximal pair of
 electrodes to preferentially produce efferent conducting activity (eVNS).
 Stimulation was well tolerated in awake, freely moving rats. During 1 hour
 of eVNS, glycaemia decreased in 90% of subjects (-1.25±1.25 mM·h,
 P=0.017), and 2 dB above neural threshold was established as the most
 effective ‘dose’ of eVNS (P=0.009). Following 5 weeks of implantation,
 eVNS was still effective, resulting in significantly decreased glycaemia
 (-1.7±0.6 mM·h, P=0.003) during 1 hour of eVNS. There were no overt
 changes in fascicle area or signs of histopathological damage observed in
 implanted vagal nerve tissue following chronic implantation and
 stimulation. Demonstration of the biocompatability and safety of eVNS in
 awake, metabolically compromised animals is a critical first step to
 establishing this therapy for clinical use. With further development, eVNS
 could be a promising novel therapy for treating type 2 diabetes.
description: See https://doi.org/10.14814/phy2.15257 Vagus nerve stimulation is emerging as a promising treatment for type 2 diabetes. Here, we evaluated the ability of stimulation of the vagus nerve to reduce glycaemia in awake, freely moving metabolically compromised rats. A model of type 2 diabetes (n=10) was induced using a high-fat diet and low doses of streptozotocin. Stimulation of the abdominal vagus nerve was achieved by pairing 15 Hz pulses on a distal pair of electrodes with high-frequency blocking stimulation (26 kHz, 4 mA) on a proximal pair of electrodes to preferentially produce efferent conducting activity (eVNS). Stimulation was well tolerated in awake, freely moving rats. During 1 hour of eVNS, glycaemia decreased in 90% of subjects (-1.25±1.25 mM·h, <em>P</em>=0.017), and 2 dB above neural threshold was established as the most effective ‘dose’ of eVNS (<em>P</em>=0.009). Following 5 weeks of implantation, eVNS was still effective, resulting in significantly decreased glycaemia (-1.7±0.6 mM·h, <em>P</em>=0.003) during 1 hour of eVNS. There were no overt changes in fascicle area or signs of histopathological damage observed in implanted vagal nerve tissue following chronic implantation and stimulation. Demonstration of the biocompatability and safety of eVNS in awake, metabolically compromised animals is a critical first step to establishing this therapy for clinical use. With further development, eVNS could be a promising novel therapy for treating type 2 diabetes.
DOI: 10.5061/dryad.g1jwstqsg
title: Microbiomes associated with avian malaria survival differ between susceptible Hawaiian honeycreepers and sympatric malaria-resistant introduced birds

description: Of the estimated 55 Hawaiian honeycreepers (subfamily Carduelinae) only 17
 species remain, 9 of which the International Union for Conservation of
 Nature considers endangered. Among the most pressing threats to
 honeycreeper survival is avian malaria, caused by the introduced blood
 parasite Plasmodium relictum, which is increasing in distribution in
 Hawai`i as a result of climate change. Preventing further honeycreeper
 decline will require innovative conservation strategies that confront
 malaria from multiple angles. Research on mammals revealed strong
 connections between gut microbiome composition and malaria susceptibility,
 illuminating a potential novel approach to malaria control through the
 manipulation of gut microbiota.  One honeycreeper species,
 Hawai`i `amakihi (Chlorodrepanis virens), persists in some areas of high
 malaria prevalence, indicating they have acquired some level of immunity.
 To investigate if avian host-specific microbes may be associated with
 malaria survival, we characterized cloacal microbiomes and malaria
 infection for 174 `amakihi and 172 malaria-resistant warbling white-eyes
 (Zosterops japonicus) from Hawai`i Island using 16S rRNA gene
 metabarcoding and qPCR. Neither microbial alpha nor beta diversity
 covaried with infection, but 149 microbes showed positive associations
 with malaria survivors. Among these were Escherichia and Lactobacillus
 spp., which appear to mitigate malaria severity in mammalian hosts,
 revealing promising candidates for future probiotic research for
 augmenting malaria immunity in sensitive endangered species.
DOI: 10.5061/dryad.p8cz8w9rw
title: Raw data of: Changes in magnetic properties of magnetite nanoparticles upon microbial iron reduction

description: The magnetic signals of magnetite nanoparticles (NPs) preserved in rocks,
 soils, and sediments are effective index for paleoenvironmental
 reconstruction. It has been demonstrated that magnetite NPs can serve as a
 terminal electron sink for the microbial respiration (i.e., microbial iron
 reduction). The magnetic properties of magnetite NPs may be altered by
 microbial iron reduction, which is a critical but often overlooked process
 in paleomagnetism. In this study, three magnetite NPs with different
 particle sizes were reduced by a dissimilatory iron-reducing bacterium
 (Shewanella oneidensis MR-1) under a non-growth condition mimicking that
 of the early Earth and modern oligotrophic environment. The changes in
 magnetic, chemical as well as crystallographic properties of the magnetite
 NPs during the microbial reduction process were examined. Our results
 showed that the bioreduction rate of magnetite NPs was mainly controlled
 by their particle size and redox state. In addition, the microbial iron
 reduction could affect both the crystallographic and magnetic properties
 of three types of magnetite NPs used herein. After bioreduction, the
 crystal lattice parameters and magnetic susceptibility of the magnetite
 NPs increased, while their remanence recording capability and coercivity
 decreased (i.e., “softer” magnetism). Furthermore, bioreduced magnetite
 NPs had a larger remanence loss near the Verwey transition region with
 low-temperature magnetic analysis. These results indicate that the
 microbial reduction of magnetite NPs deserves attention when sedimentary
 magnetites are used in paleoenvironment reconstruction.
DOI: 10.15468/dl.4zftzq
title: Occurrence Download

description: A dataset containing 1290 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Taxus wallichiana"
 ]
}

 The dataset includes 1290 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003027-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.2fqz612qn
title: Data from: Multi-decadal changes in phytoplankton biomass in northern temperate lakes as seen through the prism of landscape properties

description: Ecologists collectively predict that climate change will enhance
 phytoplankton biomass in northern lakes. Yet there are unique variations
 in the structures and regulating functions of lakes to make this
 prediction challengeable and, perhaps, inaccurate. We used archived
 Landsat TM/ETM+ satellite products to estimate epilimnetic chlorophyll-a
 concentration (Chl-a) as a proxy for phytoplankton biomass in 281 northern
 temperate lakes over 28 years. We explored the influence of climate (air
 temperature, precipitation) and landscape proxies for nutrient sources
 (proportion of wetlands in a contributing catchment, size of the littoral
 zone, potential for wind-driven sediment resuspension as estimated by the
 dynamic ratio) or nutrient sinks (lake volume) in a random forest model to
 explain heterogeneity in peak Chl-a. Lakes with higher Chl-a (median Chl-a
 = 2.4 μg L-1, n = 40) had smaller volumes (&lt; 44 × 104 m3)
 and were more sensitive to increases in temperature. In contrast, lakes
 with lower Chl-a (median Chl-a = 0.6 μg L-1, n = 241) had larger volumes
 (≥ 44 × 104 m3), contributing catchments with smaller proportions of
 wetlands (&lt; 4.5% of catchment area, n = 70), smaller littoral zones
 (&lt; 16.4 ha, n = 137), minimal wind-driven sediment resuspension (as
 defined by the dynamic ratio; &lt; 0.45, n = 232), and were more
 sensitive to increases in precipitation. Lakes with larger volumes were
 generally less responsive to climate factors; however, large volume lakes
 with a significant proportion of wetlands and larger littoral zones
 behaved similarly to lakes with smaller volumes. Our finding that lakes
 with different landscape properties respond differently to climate factors
 may help predict the susceptibility of lakes to eutrophication under
 changing climate conditions.
description: Air temperature and precipitation data were extracted from
 60-arcsecond historical monthly air temperature and precipitation grids
 for each of 281 study lakes. Landscape factors (e.g., lake volume, depth,
 lake catchment size) were extracted using Digital Terrain Models (DEMs)
 for the province of Ontario (Canada) and georeferenced and digitized
 countour maps. The calculation of all factors was performed in ArcGIS 10.8
 and Excel. Statistical analysis was performed in R 3.6.0.