Find research datasets worth reusing

opencc-by-4.0Feb 2023View details →

Dataset for Mapping State Transition Susceptibility in Quantum Annealing Part 4

Dataset for the paper Mapping State Transition Susceptibility in Quantum Annealing, Part 4. README.md file is contained in the tar.gz file.

opencc-by-4.0Feb 2023View details →

Dataset for Mapping State Transition Susceptibility in Quantum Annealing Part 3

Dataset for the paper Mapping State Transition Susceptibility in Quantum Annealing, Part 3. README.md file is contained in the tar.gz file.

opencc-by-4.0Mar 2023View details →

A Flat-lying Transitional Free Gas to Gas Hydrate System in a Sand Layer in the Qiongdongnan Basin of the South China Sea

Most marine gas hydrate systems follow a vertical pattern with gas hydrate overlying free gas. Here we document the discovery of a novel flat-lying transitional gas to hydrate system in a horizontal sand layer in the Qiongdongnan Basin of the South China Sea. Eight wells were drilled by the Guangzhou Marine Geological Survey in 2021-2022 to investigate the occurrence and mechanisms responsible for the formation of the system. We describe a free gas-bearing sand reservoir at the center of the system sustained by advecting hot fluids and gas; away from the advecting zone, the cooler, surrounding sand reservoir is filled with gas hydrate. Observations at this site show that temperature has a large control on hydrate formation in sands and may be a key mechanism which allows gas migration and hydrate formation in high-saturation hydrate filled sands.

opencc-by-4.0Mar 2023View details →

Atomic models of elementary bcc to hcp transition with {13-41} mirror plane

Atomic structures of bcc to hcp transition using the supercells constructed with {13-41} hcp planes. Transition

opencc-by-4.0Mar 2023View details →

Data in support of "Bounding the localized to ductile transition in porous rocks: what implications for geo-reservoirs?" by GG. Meyer and M. Violay

This repository contains the mechanical data from three triaxial experiments on Volvic trachyandesite in support of the publication "Bounding the localized to ductile transition in porous rocks: what implications for geo-reservoirs?" by GG Meyer and M Violay. The three files correspond to the three different samples as follow: VB21 “dry_slow”. Strain rate of 10-5s-1; no pore fluid Sample length:  0.0770m Sample diameter: 0.0382m VB22 “dry_fast”. Strain rate of 10-4s-1; no pore fluid Sample length: 0.0709m Sample diameter: 0.0372m VB23 “wet_slow”. Strain rate of 10-5s-1; water as pore fluid Sample length: 0.0813m Sample diameter: 0.0381m All files contain 5 columns: Time in s Average strain recorded by LVDT (adimensional) Average axial strain recorded by strain gauges (adimensional) Confining pressure in bar Axial stress in Pa

opencc-zeroMar 2023View details →

Data From: Spot-fire distance increases disproportionately for wildfires compared to prescribed fires as grasslands transition to Juniperus woodlands

Woody encroachment is one of the greatest threats to grasslands globally, depleting a suite of ecosystem services, including forage production and grassland biodiversity. Recent evidence also suggests that woody encroachment increases wildfire danger, particularly in the Great Plains of North America, where highly volatile Juniperus spp. convert grasslands to an alternative woodland state. Spot-fire distances are a critical component of wildfire danger, describing the distance over which embers from one fire can cause a new fire ignition, potentially far away from fire suppression personnel. We assess changes in spot-fire distances as grasslands experience Juniperus encroachment to an alternative woodland state and how spot-fire distances differ under typical prescribed fire conditions compared to conditions observed during wildfire. We use BehavePlus to calculate spot-fire distances for these scenarios within the Loess Canyons Experimental Landscape, Nebraska, U.S.A., a 73,000-ha ecoregion where private-lands fire management is used to reduce woody encroachment and prevent further expansion of Juniperus fuels. We found prescribed fire used to control woody encroachment had lower maximum spot-fire distances compared to wildfires and, correspondingly, a lower amount of land area at risk to spot-fire occurrence. Under more extreme wildfire scenarios, spot-fire distances were 2 times higher in grasslands, and over 3 times higher in encroached grasslands and Juniperus woodlands compared to fires burned under prescribed fire conditions. Maximum spot-fire distance was 450% greater in Juniperus woodlands compared to grasslands and exposed an additional 14,000 ha of receptive fuels, on average, to spot-fire occurrence within the Loess Canyons Experimental Landscape. This study demonstrates that woody encroachment drastically increases risks associated with wildfire, and that spot fire distances associated with woody encroachment are much lower in prescribed fires used to control woody encroachment compared to wildfires.

opencc-by-4.0Feb 2022View details →

Transition and Drivers of Elastic to Inelastic Deformation in the Abarkuh Plain from InSAR Multi-Sensor Time Series and Hydrogeological Data

This repository contains the datasets used in <a href="https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2023JB026430">Mirzadeh et al., 2023</a>. It includes three InSAR time-series datasets from the Envisat descending orbit, ALOS-1 ascending orbit, and Sentinel-1A in ascending and descending orbits, acquired over the Abarkuh Plain, Iran, as well as the geological map of the study area and the GNSS and hydrogeological data used in this research. Dataset 1: Envisat descending track 292 <ul> <li>Date: 06 Oct 2003 - 05 Sep 2005 (12 acquisitions)</li> <li>Processor: ISCE/stripmapStack + MintPy</li> <li>Displacement time-series (in HDF-EOS5 format): timeseries_LOD_tropHgt_ramp_demErr.h5</li> <li>Mean LOS Velocity (in HDF-EOS5 format): velocity.h5</li> <li>Mask Temporal Coherence (in HDF-EOS5 format): maskTempCoh.h5</li> <li>Geometry (in HDF-EOS5 format): geometryRadar.h5</li> </ul> Dataset 2: ALOS-1 ascending track 569 <ul> <li>Date: 06 Dec 2006 - 17 Dec 2010 (14 acquisitions)</li> <li>Processor: ISCE/stripmapStack + MintPy</li> <li>Displacement time-series (in HDF-EOS5 format): timeseries_ERA5_ramp_demErr.h5</li> <li>Mean LOS Velocity (in HDF-EOS5 format): velocity.h5</li> <li>Mask Temporal Coherence (in HDF-EOS5 format): maskTempCoh.h5</li> <li>Geometry (in HDF-EOS5 format): geometryRadar.h5</li> </ul> Dataset 2: Sentinel-1 ascending track 130 and descending track 137 <ul> <li>Date: 14 Oct 2014 - 28 Mar 2020 (129 ascending acquisitions) + 27 Oct 2014 - 29 Mar 2020 (114 descending acquisitions)</li> <li>Processor: ISCE/topsStack + MintPy</li> <li>Displacement time-series (in HDF-EOS5 format): timeseries_ERA5_ramp_demErr.h5</li> <li>Mean LOS Velocity (in HDF-EOS5 format): velocity.h5</li> <li>Mask Temporal Coherence (in HDF-EOS5 format): maskTempCoh.h5</li> <li>Geometry (in HDF-EOS5 format): geometryRadar.h5</li> </ul> The time series and Mean LOS Velocity (MVL) products can be georeferenced and resampled using the makTempCoh and geometryRadar products and the MintPy commands/functions.

opencc-by-4.0Apr 2023View details →

Available Community Energy Transition Plan Data

This is the extracted data for 186 communities that have made a pledge to be 100% renewable. A Systematic online search was conducted to find current plans and assess the gaps in community energy transitions. Please cite and reference the manuscript "Ready or not, here it comes: Assessing the gaps in community plans for renewable energy transitions within the United States" published in Energy Research and Social Science

opencc-by-4.0Apr 2023View details →

Energetics of human locomotion near the walk-run transition speed.

Energetics of human locomotion near the walk-run transition speed.   This dataset includes the raw metabolic and mechanical  data of 28 young subjects during locomotion at variable speed, walking and running on a treadmill at different speeds and gaits. Characteristics of the experimental group: - Sex: 28 Males - Age: 32. 53 (10.99SD)- height: 175.0 cm (0.008 SD)- weight: 72.96 kg (9.51 SD) Equipment: - Cosmed K5 portable metabolic analyzer- Cosmed Omnia Software v.1.6.5 - Vicon Nexus 2.14 (Vicon Motion Systems Ltd, Oxford, UK) Experimental Design: The walking stroke transition speed (W-R Ts) was determined experimentally. Each subject was asked to perform 3 trials on a treadmill (GE T2100, General Electric, USA), with an escalating speed ladder protocol. The ramp was designed to start with a comfortable ride (3.0 km h-1), and to increase speed by 0.5 km.h-1 every 15 s. When the subject began to run, the ramp stopped and the speed was marked on a worksheet. The mean or modal transition speed was taken as the T of the subject. All treadmill tests were performed at the Biomechanics and Motion Analysis Research Laboratory (LIBiAM) of the University of the Republic in Paysandú (Uruguay), at a controlled temperature of 25ºC. The theoretical transition velocity tTs was calculated according to the Froude number equation (Alexander. 1976): v = (nFr g LL) 0.5, where v is the theoretical velocity, g is gravity, LL is the leg length, and nFr the Froude number, which was set to the constant value of 0.5,  corresponding to the W-R transition (Alexander & Jayes, 1983; Alejandro, 2003; Bona et al., 2019). Experimental speed ramp: -A custom ascending and descending speed ramp was designed, focused on the transition speed and varied from (Ts = Transition Speed) Ts-20% to Ts+20%, each step with a duration of 5 s. Each ramp cycle lasted 50 s, and was repeated 5 times, for a total test time of 250 s. The trial was repeated twice.   Mechanical Work (Mechanical cost of transport) The time course of the trajectory by BcoM was used to infer changes in the mechanical energies (potential and kinetics) involved. The horizontal work (Wh) was defined as the sum of the increments of the kinetic energy of the BcoM along the forward and mediolateral axes; the vertical work (Wv) was determined by the sum of the increments of gravitational potential energy and kinetic energy along the vertical axis; the external work (Wext ), the mechanical work done to lift and accelerate the BcoM, was computed as the sum of the increments of the total mechanical energy of the BcoM (potential plus kinetic) (Cavagna et al., 1976; Willems et al., 1995). The internal work (Wint), the work necessary to accelerate the body segments with respects to the BcoM, was estimated with the methodology proposed by Cavagna & Kaneko (1977).  Wint and Wext were summed to give the total mechanical work (Wtot) (Cavagna & Kaneko, 1977; Willems et al., 1995).  During locomotion cycles, especially in W, part of the potential energy of the BcoM is converted into kinetic energy, and vice versa, so that the sum of Wh and Wv is greater than the actual work done (Wext). The difference, expressed as percentage, corresponds to the energy recovery R% (Cavagna et al., 1976), which formula is: R% = (Wh + Wv - Wext) (Wh + Wv)  Cost of transport (Metabolic transport cost) Oxygen uptake and respiratory quotient were measured breath-by-breath by a portable metabolimeter (K5, Cosmed, Italy). Reference resting values were measured during 5 min in orthostatic quiet position. Each trial was started when the metabolic parameters were near the reference resting values. The 2 (mlO2.kg-1.min-1) and RQ of the last 50 s of each recorded trial, corresponding to the last complete ramp, were averaged. The reference resting 2 was subtracted to the measured one to obtain the net oxygen uptake. VO2NET was then converted to mass-specific metabolic rate (W kg-1) using a RQ based energetic equivalent(P. E. Di Prampero et al., 2015). The C (J kg-1 m-1) was finally obtained by dividing the metabolic rate for the average speed:                  (2)   Apparent Mechanical Efficiency (AE) The AE was calculated as proposed by Cavagna and Kaneko, ie, AE = Wto C where Wtot is the total mechanical work and C the cost of transport (G. A. Cavagna & Kaneko, 1977).   Data processing and calculation Image preprocessing was performed in Vicon Nexus 2.14 (Vicon Motion Systems Ltd, Oxford, UK), kinematic variable calculation performed with Python 2.7 and ProCalc 1.6 (Vicon Motion Systems Ltd, Oxford, UK), the calculation of mechanical variables was implemented in MatLab  (The MathWorks, Inc., California, USA). The calculation of C was performed in Microsoft Excel (Microsoft Office 365).   Note: Not all subjects performed the entire protocol. In particular, some data lack follow-up. Analysis of the cost of transportation: All participants signed an informed consent. The protocol was approved by the University's Ethics Committee (#311170-000921-19).   The legend of the dataset. There are 3 excel sheets  where each row is associated with subjects from 1 to 28. Energy sheet: Subject: Subject Age Weigth Heigth(m) IMC Km x week: kilometers per week Background: history of injuries INT1 km/h: attempt 1 INT2 km/h: attempt 2 INT3 km/h: Attempt 3 Average transition (km/h): average walk-race transition speed Froude estimated PST(m/s) Froude Estimated PST(km/h) Basal Vo2: Basal oxygen consumption  in orthostasis VO2/kg/min: Oxygen consumption in the test RQ: RQ in the test VO2 Net VO2kg/min): VO2 net in the test VO2/kg/s J/kg/s = W/kg C (J/kg/m): transport cost obtained in the test   Test: test performed Gait: type of gait that has been evaluated ASC/DESC: place on the ramp (ascending or descending) Stride: stride identification  for each type of gait Duty Factor_tr: duty factor Stride Frequency_tr: stride frequency Stride Time_tr: stride time Time: time in the stride Speed in treadmill : speed that occurs in treadmill Distance: distance traveled by the stride Step frequency: frequency of passage Wext: External Work Rec: recovery Wv: trabajo vertical Wh: horizontal work WintTOT: Total internal work

Revisiting the HO●-initiated oxidation of L-proline amino acid in the aqueous phase – Influence of transition metal ions

The oxidation of L-proline (Pro) by HO● radical in water and the influence of transition metal ions on this process has been revisited by using the density functional theory (DFT) method at the M05-2X/6-311++G(3df,3pd)//M05-2X/6-311++G(d,p) level of theory at the temperature of 298.15 K. HO●-initiated oxidation of Pro via hydrogen atom transfer (HAT) reactions is more favourable at the b- and g-carbon than at the a- and d-carbon. The total branching ratios are 44.6% and 39.5% for the β- and γ-carbon and 11.5% and 4.2% for the a- and d-carbon, respectively. The overall rate constant at 298.15 K is 6.04 × 108 M-1 s-1. In addition, Pro tends to form the stable mono- and bi-dentate complexes with both Fe and Cu ions via the –COO functional group of dipole-salt form. The most stable Cu(II)-Pro complexes have high potential oxidant risks by enhancing the HO● radical formation in the presence of reducing agents such as superoxide anion or ascorbate anion. Besides, the complexes of the metal at a high oxidation state, i.e., Fe(III)-Pro and Cu(II)-Pro, show their ability to be oxidized by HO● radical via HAT reactions but with a lower rate constant than that of free Pro. Unsurprisingly, the oxidation enhancement is insignificant for SET reactions with almost negligible rate constants. In contrast, the rate constants of SET reactions of low oxidation state complexes (i.e., Fe(II)-Pro and Cu(I)-Pro) are faster than the oxidation rate of free ligands, and thus, these complexes promote the oxidation of Pro.

Data for: Capturing synchronization with complexity measure of ordinal pattern transition network constructed by Crossplot

To evaluate the synchronization of bivariate time series has been a hot topic and a number of measures have been proposed. In this work, by introducing the ordinal pattern transition network (OPTN) into the crossplot, a new method for measuring the synchronisation of bivariate time series is proposed. After the crossplot been partitioned and coded, the coded partitions are defined as network nodes and a directed weighted network is constructed based on the temporal adjacency of the nodes. The crossplot transition entropy (CPTE) of the network is proposed as an indicator of the synchronization between two time series. To test the characteristics and performance of the method, it is used to analyse the unidirectional coupled Lorentz model and compared it with existing methods. The results showed the new method had the advantages of easy parameter setting, efficiency, robustness, good consistency and suitable for short time series. Finally, EEG data from auditory evoked potential EEG-Biometric dataset are investigated, and some useful and interesting results are obtained.

Data from: Dynamics of reproductive isolation in stick insects at the transition between populations and species

Speciation is often viewed as a continuum along which populations diverge until they become reproductively-isolated species. However, such divergence may be heterogeneous, proceeding in `fits and bursts', rather than being uniform and gradual. We show in Timema stick insects that one form of reproductive isolation indeed evolves non-uniformly across this continuum, whereas another does not. Specifically, we use thousands of host-preference and mating trials to study habitat and sexual isolation among 42 pairs of taxa spanning a range of genomic differentiation and divergence time. We find that the evolution of habitat isolation is uncoupled from genomic differentiation within species, but accumulates linearly with it between species. In contrast, sexual isolation accumulates linearly across the speciation continuum. The results show different evolutionary dynamics for different components of reproductive isolation, indicate sudden transitions between phases of speciation, and highlight a special relevance for species status in the evolution of reproductive isolation.

Transition to organic farming negatively affects bat activity

<ol> <li>The effectiveness of organic farming on biodiversity has been widely documented especially for plants, arthropods and birds; however, the effects of the transition period required to become an organic farm on wildlife remain poorly understood.</li> <li>We assessed the effects of organic farming on insectivorous bats in citrus orchards in the Republic of Cyprus employing two matched designs (conventional vs. 3-years organic-transitional and conventional vs. organic-certified) and a third unmatched design (3-years organic-transitional vs. organic-certified). We specifically investigated whether the transition period prior to full organic certification influenced bat activity with a special focus on any moderation effects from surrounding semi-natural areas.</li> <li>The activity of three (Pipistrellus kuhlii, Hypsugo savii and Miniopterus schreibersii) of four bat species was significantly lower in farms undergoing the transitional period than in conventional farms, and P. kuhlii and H. savii were significantly less active in organic transitional farming systems that in organic-certified ones. Furthermore, the activity of the most dominant species (P. kuhlii) was significantly higher on organic than transitional and conventional citrus orchards, thus suggesting a time-lag effect. Landscape complexity measured as the amount of semi-natural areas did not moderate the effects of farming system for any study species.</li> <li> Synthesis and application. The transition to organic farming had persistent detrimental effects on bats and potentially on the pest suppression services they provide. Future agri-environmental policy should consider the transition period and implement measures to mitigate any negative effects on biodiversity, alongside promoting asynchronous transition of nearby farms. Our findings further highlight the crucial need to consider the time since transition to organic farming when assessing potential benefits of organic management on biodiversity.</li> </ol>

opencc-zeroJul 2023View details →

Data from: Axial conduit widening, tree height and height growth rate set the hydraulic transition of sapwood into heartwood

The size-related xylem adjustments required to maintain a constant leaf-specific sapwood conductance (KLEAF) with increasing height (H) are still under discussion. Alternative hypotheses are that: (i) the conduit hydraulic diameter (Dh) at any position in the stem and/or (ii) the number of sapwood rings at stem base (NSWr) increase with H. In addition, (iii) lower stem elongation (ΔH) increases the tip-to-base conductance through inner xylem rings, thus possibly the NSWr contributing to KLEAF. A detailed stem analysis showed that Dh increased with the distance from the apex (DCA) in all rings of a P. abies and a F. sylvatica tree. Net of DCA effect, Dh did not increase with H. Using sapwood traits from a global dataset, NSWr increased with H and decreased with ΔH, and the mean sapwood ring width (SWrw) increased with ΔH. A numerical model based on anatomical patterns predicted the effects of H and ΔH on the conductance of inner xylem rings. Results suggested the sapwood/heartwood transition depends on both H and ΔH, and is set when the C allocation to maintenance respiration of living cells in inner sapwood rings produces a lower gain in total conductance than investing the same C in new vascular conduits.

Net-zero transition of the global chemical industry with CO2-feedstock by 2050: feasible yet challenging

This dataset contains supplementary data and code for the following publication: Title: Net-zero transition of the global chemical industry with CO2-feedstock by 2050: feasible yet challenging Authors: Jing Huo, Zhanyun Wang, Christopher Oberschelp, Gonzalo Guillén-Gosálbez and  Stefanie Hellweg Year: 2023 Journal: Green Chemistry Issue: 25 Pages: 415-430 Publisher: Royal Society of Chemistry Direct link: https://doi.org/10.1039/D2GC03047K Please read "read_me.txt" for more details.

First-order phase transitions in Yang-Mills theories and the density of state method---data and analysis code release

Data release for paper: Lucini, B., Mason, D., Piai, M., Rinaldi, E., & Vadacchino, D. (2023). First-order phase transitions in Yang-Mills theories and the density of state method. arXiv preprint arXiv:2305.07463. This data release comprises of: Importance sampling results: Input and output files for PureGauge file of HiRep (https://github.com/claudiopica/HiRep) and csv files contains analysis of results. LLR results: Input files for LLR_HB for a modified version of HiRep for the heat bath LLR algorthim with umbrella sampling (https://github.com/dave452/Hirep-LLR-SU) and some csv files containing analysis of output. Analysis code within the LLRAnalysis.zip, it contains the code and the conda environment.

Modelling results for the paper "The impact of methane leakage on the role of natural gas in the European energy transition"

This data file represents the modelling results of the paper "The impact of methane leakage on the role of natural gas in the European energy transition" that is accepted to Nature Communications.

Data to Deliverable 3.4 - Co-creation process for innovative planning and governance able to facilitate the transition to a water circular economy

Transcription of co-creation workshops; Worksheets filled by groups of the co-creation workshops; and final worksheets filled of the co-creation workshops.

Data to Deliverable 3.2 - Policy design for the transition to circular economy: Barriers and drivers in place

Data to assessment of the policy and planning contexts in Almendralejo (Spain), Lecce (Italy), Omis (Croatia) and Eilat (Israel)

MetForTC-Phase transition plateau measurements of the new Al slim cell

The main goal was to test whether the new cells improve the reliability of measurements for in-situ conditions, and to work on characterisation of one thermocouple using new designed Al cell.The measurement in the Three-zone furnace was made in a quartz tube that was ordered according to the dimensions of the fixed point cell produced in ČMI and according to the dimensions of the openings in the three zones of the furnace. Equipment used: Aluminium Fixed Point Cell (designed and produced by ČMI), 3 Zone High Temperature Furnace – 465, ISOTECH Oberon Furnace,  ISOTECH, Nanovoltmeter, 2182A, Keithley, Rotameter, FT-052-08-ST-VN, Omega  S-typeThermocouple, ISOTECH, 30474/6.