Find research datasets worth reusing

opencc-by-4.0Jul 2022View details →

Drought resistance enhanced by tree species diversity in global forests

The species diversity effect (theta) on drought resistance for global forest ecoregions. The species diversity effect was estimated based on a global analysis of the relationship between species richness and drought-induced changes in forest productivity, using a database that contains more than 0.7 million forest plots and satellite-based estimation of drought resistance.

opencc-zeroAug 2022View details →

Pessimistic cognitive bias is associated with enhanced reproductive investment in female zebrafish

Optimistic and pessimistic cognitive biases have been described in many animals and are related to the perceived valence of the environment. We, therefore, hypothesize that such cognitive bias can be adaptive depending on environmental conditions. In reward rich environments an optimistic bias would be favored, whereas in harsh environments a pessimistic one would thrive. Here, we empirically investigated the potential adaptive value of such bias using zebrafish as a model. We first phenotyped female zebrafish in an optimistic/pessimistic axis using a previously validated judgment bias assay. Optimistic and pessimistic females were then exposed to an unpredictable chronic stress protocol for 17 days, after which fish were euthanized and the sectional area of the different ovarian structures was quantified in both undisturbed and stressed groups. Our results show that zebrafish ovarian development responded to chronic stress, and that judgment bias impacted the relative area of the vitellogenic developmental stage in the stress treatment, with pessimists showing higher vitellogenic areas as compared with optimists. These results suggest that pessimism maximize reproductive investment, through increased vitellogenesis, indicating a relationship between cognitive bias and life-history organismal decisions.

An enhanced integrated water vapour dataset from more than 10,000 global ground-based GPS stations in 2020

This is a 5-min Integrated Water Vapor (IWV) product from 12,552 ground-based GPS stations worldwide in 2020. It contains 1,093,591,492 IWV estimates in total. The dataset is an enhanced version of the existing operational GPS IWV dataset from Nevada Geodetic Laboratory. The enhancement is reached by using accurate meteorological information from ERA5 for the GPS IWV retrieval with a significantly higher spatiotemporal resolution. The dataset is recommended for high-accuracy applications.  DESCRIPTION  Geodetic Institute, Karlsruhe Institute of Technology, Germany  OUTPUT       5-min enhanced GPS Integrated Water Vapour product  CONTACT      Peng Yuan, pyuan@gfz-potsdam.de; Geoffrey Blewitt, gblewitt@unr.edu   INPUT        NGL: GPS ZTD; ERA5 pressure level product: pressure and Tm  NGL: Nevada Geodetic Laboratory, University of Nevada, http://geodesy.unr.edu  ERA5: the fifth generation ECMWF reanalysis, https://www.ecmwf.int  Authors:     Peng Yuan, Geoffrey Blewitt, Corné Kreemer, William C. Hammond,                Donald Argus, Xungang Yin, Roeland Van Malderen, Michael Mayer,               Weiping Jiang, Joseph Awange, Hansjoerg Kutterer Detailed descriptions and quality evaluations of the dataset have been published in Earth System Science Data (see below). If you would like to use the dataset, please cite the dataset and the associated paper as follows: [1] Yuan, P., Blewitt, G., Kreemer, C., Hammond, W. C., Argus, D., Yin, X., Van Malderen, R., Mayer, M., Jiang, W., Awange, J., and Kutterer, H.: An enhanced integrated water vapour dataset from more than 10 000 global ground-based GPS stations in 2020, Earth System Science Data, 15, 723–743, <a href="https://doi.org/10.5194/essd-15-723-2023">https://doi.org/10.5194/essd-15-723-2023</a>, 2023. [2] Yuan, Peng, Blewitt, Geoffrey, Kreemer, Corné, Hammond, William C., Argus, Donald, Yin, Xungang, Van Malderen, Roeland, Mayer, Michael, Jiang, Weiping, Awange, Joseph, & Kutterer, Hansjörg. (2022). An enhanced integrated water vapour dataset from more than 10,000 global ground-based GPS stations in 2020 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6973528 >> File: NGL2020_12552_blgph.txt Description: coordinates of the 12552 GPS stations worldwide Format:   column #1: Site name   column #2: Latitude (degree)   column #3: Longitude (degree)   column #4: Geopotential altitude (geopotential meter) >> ZIP files: data saved according to the first letter of the station names Description: enhanced GPS IWV data product at 12552 stations worldwide Structure:   saved as each day for each station, and then all the daily              files of each station were saved as respective ZIP file              which named as "site"_2020.trop.zip Format: IGS TROP format

Archive data supporting the results in the paper: Increase in carbon input by enhanced fine root turnover in a long-term warmed forest soil

This is the archive data supporting the results in the paper: Increase in carbon input by enhanced fine root turnover in a long-term warmed forest soil; submitted to the Journal Science of the Total Environment.

Model simulation results for "Enhanced seasonal amplitude of atmospheric CO2 by the changing Southern Ocean carbon sink"

This dataset contains the seasonal variations of monthly mean atmospheric CO2 concentration derived from GEOS-Chem model simulations during 2000-2016. Monthly terrestrial CO2 fluxes derived from CLM4.5-CN, used as an input dataset for the GEOS-Chem simulations, are also included. There are six sets of GEOS-Chem simulation results; "ctrl", "BIOfix", "OCNfix", and "FFfix" are the main experiments to evaluate the effects of changes in terrestrial CO2 fluxes, air-sea CO2 fluxes, and fossil fuel CO2 emissions on the seasonal amplitude of atmospheric CO2 over the globe; "ALLfix" and "OCNfix_SO" are additional experiments for identifying the effects of changes in the other factors (i.e., atmospheric transport and biomass burning) and regional changes in air-sea fluxes in the Southern Ocean.   Detailed explanations for each simulation are described in the main text. *We recommend contacting us first if you want to utilize the dataset for study (yjm921@gmail.com).

opencc-by-4.0Jul 2022View details →

Encapsulation Enhances the Catalytic Activity of C-N Coupling: Reaction Mechanism of a Cu(I)/Calix[8]arene Supramolecular Catalyst - XYZ Structure files

XYZ Structures corresponding to DOI: 10.1002/cctc.202200662

Sensitivity-enhanced multidimensional solid-state NMR spectroscopy by optimal-control-based transverse mixing sequences

The dataset here contains the raw data and pulse programs used for the publication "Sensitivity-enhanced multidimensional solid-state NMR spectroscopy by optimal-control-based transverse mixing sequences" submitted to JACS. All data is in a native Bruker TopSpin format. Data is organized in folders corresponding to Figures of the original publication. Detailed description is included in the file description.txt. We reccomend to visit our website optimal-nmr.net for additional information about optimal control methods applied to pulse sequence development for solid-state magic-angle-spinning NMR studies of proteins.

opencc-zeroAug 2022View details →

Oxidation of L-leucine amino acid initiated by HO● radical - Are transition metal ions an enhancement factor?

Hydroxyl radical (HO●) formation initiated by the Fenton-type reactions of Fe and Cu complexes of L-leucine (Leu) amino acid, as well as its oxidation reaction by HO● were computationally investigated by using the density functional theory (DFT) method at the M05-2X/6-311++G(3df,2pd)//M05-2X/6-311++G(d,p) level of theory in the aqueous phase. The results showed that dipole-salt is the main form of Leu in the physiological condition. Leu exhibits high chelating potential towards both Fe(III)/Fe(II) and Cu(II)/Cu(I) ions with the most favorable coordinating positions at two oxygen atoms of the –COO functional groups. Furthermore, the Leu-ions complexes show a high risk of HO● formation via Fenton-like reactions, especially when ascorbate anion exists in the environment as a reducing agent. Finally, the oxidation reaction of L-leucine by HO● demonstrated a relatively high overall apparent reaction rate – koverall being 1.18 × 109 M-1s-1, in which formal hydrogen transfer (FHT) reactions of the dipole-salt form occur as the primary mechanism. Consequently, the Leu oxidation by HO● radical can be promoted by the Fenton-reaction enhancement of its transition metal complexes.

opencc-zeroAug 2022View details →

Early nest initiation and vegetation density enhance nest survival in Wild Turkeys

The theory of adaptive habitat selection suggests resource selection by animals should reflect underlying quality, such that individual selection confers an adaptive advantage via increased fitness. Using resource selection functions and nest survival models, we demonstrated that visual obstruction at the nest site was adaptively significant but timing of nest initiation had the greatest effect on nest survival for eastern wild turkeys (Meleagris gallopavo silvestris). Predation risk is a selective pressure, and if individuals can perceive predation risk, they may respond by altering selection of nest site characteristics based on prior experience. We evaluated patterns in nest site selection of 387 wild turkeys and consequences of selection on reproductive success across the southeastern United States from 2014-2019. We monitored 549 nest sites and found that nest initiation date had the strongest effect on daily nest survival rates, wherein adult females at our earliest nest initiation date were ~ 4 times more likely to successfully nest than females at our latest nest initiation dates. Selection of nest sites with greater visual obstruction also increased daily nest survival rates as females were 1.17 (1.100 – 1.234; 95% CI) and 1.37 (1.258 – 1.486; 95% CI) times more likely to select sites for every 10 cm increase in visual obstruction and maximum vegetation height, respectively. Collectively, our results indicate that nest initiation date is likely the critical parameter driving wild turkey nest success, whereas vegetative conditions play a lesser role influencing nest success. Females nesting earlier may be in better body condition and show increased nest attentiveness, which may mediate nest success more than vegetation conditions around nest sites. Our work indicates that increasing the reproductive success of wild turkeys may hinge on females being able to nest as early as possible within the reproductive season.

opencc-zeroMar 2022View details →

Group augmentation on trial: helpers in small groups enhance antipredator defence of eggs

Mechanisms selecting for the evolution of cooperative breeding are hotly debated. While kin selection theory has been the central paradigm to explain the seemingly altruistic behaviour of non-reproducing helpers, it is increasingly recognized that direct fitness benefits may be highly relevant. The group augmentation hypothesis proposes that alloparental care may evolve to enhance group size when larger groups yield increased survival and/or reproductive success. However, there is a lack of empirical tests. Here we use the cooperatively breeding cichlid fish Neolamprologus pulcher, in which group size predicts survival and group stability, to test this hypothesis experimentally by prompting two cooperative tasks: defence against an egg predator and digging out sand from the breeding shelter. We controlled for alternative mechanisms such as kin selection, load-lightening and coercion. As predicted by the group augmentation hypothesis, helpers increased defence against an egg predator in small compared to large groups. This difference was only evident in large helpers due to size-specific task specialization. Furthermore, helpers showed more digging effort in the breeding chamber compared to alternative personal shelters, indicating that digging was an altruistic service to the dominant breeders.

opencc-by-4.0Jul 2022View details →

Dataset: Enhancing Spin Coherence in Optically Addressable Molecular Qubits through Host-Matrix Control

Dataset: Enhancing Spin Coherence in Optically Addressable Molecular Qubits through Host-Matrix Control

Data for "Simulated impact of ocean alkalinity enhancement on atmospheric CO 2 removal in the Bering Sea"

This is accompanying data for a submission to AGU Earth's Future by lead author Hongjie Wang and corresponding author Brendan Carter.  This submission primarily contains processed model simulation output. The original model output was generated by Kelly Kearney.  Unfortunately, the original model output is requires too much memory to submit in its entirety, so this submission is intended to grant interested readers access to the worked-up fields used to produce the figures and values in the manuscript.  Individuals interested in higher-resolution model output are encouraged to contact Kelly Kearney to discuss possible transfer solutions.   A data hosting solution for the full simulation is being explored by the Bering10k team, and this description will be updated if a publicly accessible alternative to these processed fields becomes available.

Flame-made ternary Pd-In2O3-ZrO2 catalyst with enhanced oxygen vacancy generation for CO2 hydrogenation to methanol

Source data for figures displayed in the manuscript.

Direct Observation of the Transitional Stage of Mixing-State- Related Absorption Enhancement for Atmospheric Black Carbon

Data for article Direct Observation of the Transitional Stage of Mixing-State-Related Absorption Enhancement for Atmospheric Black Carbon.

Cloud computing is one of the most popular and sophisticated technologies adopted by organizations worldwide. Some world-leading organizations enhance their efficiency and effectiveness by using cloud computing technology. Working from home (WFH) has been a popular trend among organizations during the coronavirus (COVID-19) pandemic. The COVID-19 saw a breakthrough in work cultures and environments where working from home was a remarkable success in remote working environments, despite being a rare phenomenon in Sri Lanka. Yet, it is argued that the deployment of work from home has not been effective among Sri Lankan business organizations due to a lack of IT infrastructure, facilities, and knowledge. The purpose of the study is to investigate the impact of cloud computing, embracing the service models (Infrastructure as a Service, Platform as a Service, and Software as a Service) as theoretical lenses and testing the COVID-19 as the moderator. The study has been conducted based on a deductive approach and adopted a stratified random sampling method. The sample consisted of 384 IT employees among those who had experienced working from home. The study utilized multiple regression and found that cloud computing service models significantly impact work from home with the moderating effect of COVID-19.

Cloud computing is one of the most popular and sophisticated technologies adopted by organizations worldwide. Some world-leading organizations enhance their efficiency and effectiveness by using cloud computing technology. Working from home (WFH) has been a popular trend among organizations during the coronavirus (COVID-19) pandemic. The COVID-19 saw a breakthrough in work cultures and environments where working from home was a remarkable success in remote working environments, despite being a rare phenomenon in Sri Lanka. Yet, it is argued that the deployment of work from home has not been effective among Sri Lankan business organizations due to a lack of IT infrastructure, facilities, and knowledge. The purpose of the study is to investigate the impact of cloud computing, embracing the service models (Infrastructure as a Service, Platform as a Service, and Software as a Service) as theoretical lenses and testing the COVID-19 as the moderator. The study has been conducted based on a deductive approach and adopted a stratified random sampling method. The sample consisted of 384 IT employees  among those who had experienced working from home. The study utilized multiple regression and found that cloud computing service models significantly impact work from home with the moderating effect of COVID-19.

A Thirty Minute Nap Enhances Performance in Running Based Anaerobic Sprint Test During and After Ramadan Observance

<table> <tbody> <tr> <td> Age </td> <td> height </td> <td>  weight </td> <td> BMI </td> <td> MAX POWER (Watt)-DURING RAMADAN NO NAP </td> <td> MİNİMUM POWER (Watt)-DURING RAMADAN NO NAP </td> <td> AVERAGE POWER (Watt)-DURING RAMADAN NO NAP </td> <td> FATİGUE İNDEX (%)-DURING RAMADAN NO NAP </td> <td> MAX POWER (Watt)- AFTER RAMADAN NO NAP </td> <td> MİNİMUM POWER (Watt)- AFTER RAMADAN NO NAP </td> <td> AVERAGE POWER (Watt)- AFTER RAMADAN NO NAP </td> <td> FATİGUE İNDEX (%)- AFTER RAMADAN NO NAP </td> <td> MAX POWER (Watt)- DURING RAMADAN 30M NAP </td> <td> MİNİMUM POWER (Watt)- DURING RAMADAN 30M NAP </td> <td> AVERAGE POWER (Watt)- DURING RAMADAN 30M NAP </td> <td> FATİGUE İNDEX (%)- DURING RAMADAN 30M NAP </td> <td> MAX POWER (Watt)-  AFTER RAMADAN 30M NAP </td> <td> MİNİMUM POWER (Watt)-  AFTER RAMADAN 30M NAP </td> <td> AVERAGE POWER (Watt)-  AFTER RAMADAN 30M NAP </td> <td> FATİGUE İNDEX (%)-  AFTER RAMADAN 30M NAP </td> </tr> <tr> <td> 24.00 </td> <td> 177.00 </td> <td> 89.00 </td> <td> 28.40 </td> <td> 388 </td> <td> 303 </td> <td> 334 </td> <td> 2.05 </td> <td> 432 </td> <td> 312 </td> <td> 365 </td> <td> 2.97 </td> <td> 453 </td> <td> 326 </td> <td> 392 </td> <td> 3.23 </td> <td> 466 </td> <td> 350 </td> <td> 411 </td> <td> 3.02 </td> </tr> <tr> <td> 23.00 </td> <td> 178.00 </td> <td> 70.00 </td> <td> 22.10 </td> <td> 513 </td> <td> 399 </td> <td> 469 </td> <td> 3.33 </td> <td> 539 </td> <td> 428 </td> <td> 485 </td> <td> 3.27 </td> <td> 560 </td> <td> 451 </td> <td> 513 </td> <td> 3.29 </td> <td> 606 </td> <td> 468 </td> <td> 535 </td> <td> 4.24 </td> </tr> <tr> <td> 21.00 </td> <td> 170.00 </td> <td> 76.00 </td> <td> 26.30 </td> <td> 563 </td> <td> 444 </td> <td> 506 </td> <td> 3.47 </td> <td> 585 </td> <td> 456 </td> <td> 516 </td> <td> 3.80 </td> <td> 605 </td> <td> 482 </td> <td> 533 </td> <td> 4.82 </td> <td> 640 </td> <td> 475 </td> <td> 538 </td> <td> 4.92 </td> </tr> <tr> <td> 22.00 </td> <td> 174.00 </td> <td> 67.00 </td> <td> 22.10 </td> <td> 711 </td> <td> 376 </td> <td> 507 </td> <td> 10.12 </td> <td> 733 </td> <td> 402 </td> <td> 538 </td> <td> 10.24 </td> <td> 791 </td> <td> 432 </td> <td> 575 </td> <td> 11.34 </td> <td> 866 </td> <td> 448 </td> <td> 613 </td> <td> 13.48 </td> </tr> <tr> <td> 20.00 </td> <td> 170.00 </td> <td> 72.00 </td> <td> 24.90 </td> <td> 673 </td> <td> 367 </td> <td> 503 </td> <td> 9.02 </td> <td> 697 </td> <td> 356 </td> <td> 534 </td> <td> 10.24 </td> <td> 741 </td> <td> 381 </td> <td> 570 </td> <td> 11.03 </td> <td> 808 </td> <td> 412 </td> <td> 608 </td> <td> 12.38 </td> </tr> <tr> <td> 19.00 </td> <td> 172.00 </td> <td> 62.00 </td> <td> 21.00 </td> <td> 566 </td> <td> 290 </td> <td> 434 </td> <td> 8.13 </td> <td> 553 </td> <td> 305 </td> <td> 445 </td> <td> 7.35 </td> <td> 579 </td> <td> 311 </td> <td> 468 </td> <td> 8.11 </td> <td> 604 </td> <td> 346 </td> <td> 502 </td> <td> 7.99 </td> </tr> <tr> <td> 21.00 </td> <td> 171.00 </td> <td> 73.00 </td> <td> 25.00 </td> <td> 769 </td> <td> 295 </td> <td> 513 </td> <td> 13.84 </td> <td> 789 </td> <td> 304 </td> <td> 527 </td> <td> 14.26 </td> <td> 824 </td> <td> 329 </td> <td> 563 </td> <td> 14.91 </td> <td> 878 </td> <td> 390 </td> <td> 610 </td> <td> 15.17 </td> </tr> <tr> <td> 19.00 </td> <td> 179.00 </td> <td> 76.00 </td> <td> 23.70 </td> <td> 908 </td> <td> 305 </td> <td> 551 </td> <td> 17.56 </td> <td> 944 </td> <td> 330 </td> <td> 574 </td> <td> 18.18 </td> <td> 982 </td> <td> 362 </td> <td> 600 </td> <td> 18.67 </td> <td> 1029 </td> <td> 394 </td> <td> 647 </td> <td> 19.57 </td> </tr> <tr> <td> 22.00 </td> <td> 174.00 </td> <td> 71.00 </td> <td> 23.50 </td> <td> 717 </td> <td> 358 </td> <td> 517 </td> <td> 10.72 </td> <td> 735 </td> <td> 385 </td> <td> 543 </td> <td> 10.63 </td> <td> 753 </td> <td> 399 </td> <td> 565 </td> <td> 10.93 </td> <td> 806 </td> <td> 434 </td> <td> 606 </td> <td> 11.74 </td> </tr> <tr> <td> 21.00 </td> <td> 183.00 </td> <td> 77.00 </td> <td> 23.00 </td> <td> 1001 </td> <td> 499 </td> <td> 675 </td> <td> 15.91 </td> <td> 1028 </td> <td> 540 </td> <td> 711 </td> <td> 15.78 </td> <td> 1035 </td> <td> 592 </td> <td> 760 </td> <td> 14.67 </td> <td> 1100 </td> <td> 606 </td> <td> 804 </td> <td> 16.66 </td> </tr> </tbody> </table>

CS6 - Sea urchin enhancement Norway - profitability model

The dataset contains estimation on all costs’ parameters relevant to produce enhanced sea urchins in Norway. Sales price was estimated and calculations on profitability for three production scales and two different market situations are presented.

opencc-zeroSep 2022View details →

Wild herbivores enhance resistance to invasion by exotic cacti in an African savanna

1. Whether wild herbivores confer biotic resistance to invasion by exotic plants remains a key question in ecology. There is evidence that wild herbivores can impede invasion by exotic plants, but it is unclear whether and how this generalises across ecosystems with varying wild herbivore diversity and functional groups of plants, particularly over long-term (decadal) time frames. 2. Using data from three long-term (13- to 26-year) exclosure experiments in central Kenya, we tested the effects of wild herbivores on the density of exotic invasive cacti, Opuntia stricta and O. ficus-indica (collectively, Opuntia), which are among the worst invasive species globally. We also examined relationships between wild herbivore richness and elephant occurrence probability with the probability of O. stricta presence at the landscape level (6,150 km2). 3. Opuntia densities were 74% to 99% lower in almost all plots accessible to wild herbivores and increased more rapidly in plots excluding wild herbivores. These effects were largely driven by megaherbivores (≥1,000 kg), particularly elephants. 4. At the landscape level, modelled Opuntia occurrence probability was negatively correlated with estimated species richness of wild herbivores and elephant occurrence probability. On average, O. stricta occurrence probability fell from ~0.56 to ~0.45 as wild herbivore richness increased from 6 to 10 species and fell from ~0.57 to ~0.40 as elephant occurrence probability increased from ~0.41 to ~0.84. These multi-scale results suggest that any facilitative effects of Opuntia by wild herbivores (e.g., seed/vegetative dispersal) are overridden by suppression (e.g., consumption, uprooting, trampling). 5. Synthesis. Our experimental and observational findings that wild herbivores confer resistance to invasion by exotic cacti add to evidence that conserving and restoring native herbivore assemblages (particularly megaherbivores) can increase community resistance to plant invasions.

opencc-by-4.0Oct 2022View details →

Dataset of "Interclonal mutually beneficial cooperation mediated by TGF-β1 enhances invasion of breast cancer cells"

Original pictures from Figures 1A and 1B. Dataset from Figure 2-6 with data analysis (including Wound Healing assay, Transwell migration and invasion assay) on MCF7, MDA and H2122 AS cell lines

Genomic Prediction for the Germplasm Enhancement of Maize Project

The Germplasm Enhancement of Maize (GEM) project was initiated in 1993 as a cooperative effort of public and private sector maize breeders to enhance the genetic diversity of the U.S. maize crop. The GEM project selects progeny lines with high topcross yield potential from crosses between elite temperate lines and exotic parents. The GEM project has released hundreds of useful breeding lines based on phenotypic selection within selfing generations and multi-environment yield evaluations of GEM line topcrosses to elite adapted testers. Developing genomic selection (GS) models for the GEM project may contribute to increases in the rate of genetic gain.  Here we evaluated the prediction ability of GS models trained on six years of topcross evaluations from the two GEM programs in Raleigh, NC and Ames, IA, documenting prediction abilities ranging from 0.36 to 0.75 for grain yield and from 0.78 to 0.96 for grain moisture when models were cross-validated within program and heterotic group. Predicted genetic gain from genomic selection ranged from 0.95 to 2.58 times the gain from phenotypic selection. Prediction ability across program and heterotic group was generally poorer than within groups. Based on observed genomic relationships between GEM breeding lines and their tropical ancestors, GS for either yield or moisture would reduce recovery of exotic germplasm only slightly. Using GS models trained within-program, the GEM programs should be able to more effectively deliver on its mission to broaden the genetic base of U.S. germplasm.