Find research datasets worth reusing

Recherchebreen delta formation and glacier flow velocity data

Data supporting our study on the rapid delta formation connected to glacier surge. The dataset contains positions of delta shoreline and centreline length (2020-2022) together with glacier flow velocity derived from Sentinel-1. Delta-related data produced by Jan Kavan, glacier velocity data by Adrian Luckman.   This study is a contribution to the National Science Centre project ‘GLAVE’ (Award No. UMO-2020/38/E/ST10/00042).

opencc-zeroDec 2023View details →

dryad36/100

Data from: Temperature-dependent gene regulatory divergence underlies local adaptation with gene flow in the Atlantic silverside

Gene regulatory divergence is thought to play an important role in adaptation, yet its extent and underlying mechanisms remain largely elusive for local adaptation with gene flow. Local adaptation is widespread in marine species despite generally high connectivity and is often associated with tightly linked genomic architectures, such as chromosomal inversions. To investigate gene regulatory evolution under gene flow and the role of inversions associated with local adaptation to a steep thermal gradient, we generated RNA-seq data from Atlantic silversides (Menidia menidia) from two locally adapted populations and their F1 hybrids, reared under two temperatures. We found substantial divergence in gene expression and thermal plasticity between populations, with up to 31% of genes being differentially expressed. Reduced thermal plasticity, temperature-dependent gene misexpression and the disruption of co-expression networks in hybrids point towards a role of regulatory incompatibilities in local adaptation, particularly under colder temperatures. Chromosomal inversions show an accumulation of regulatory incompatibilities but are not consistently enriched for differentially expressed genes. Together, these results suggest that gene regulation can diverge substantially among populations despite gene flow, partly due to the accumulation of temperature-dependent regulatory incompatibilities within inversions.

Dissolved organic carbon concentrations, pH and conductivity of water flowing from eroding and restored peatland catchments

Water was collected  from gullies within an eroding blanket bog. The bog is on a large high-altitude plateau blanket bog in the eastern part of the Cairngorms National Park, Scotland, UK (56.93° N, − 3.16° E, 642 m asl).  At Balmoral DOC concentrations were measured from water flowing through six v-notch weirs. Three weirs measured drainage from mini catchments that had undergone restoration and three measured drainage from  degraded mini-catchments with multiple upstream erosion gullies and bare peat. Restoration at this site included reprofiling and vegetating (turving) of peat haggs, bunding using coir logs to ‘slow the  flow’ and encourage Sphagnum growth, and mulching of areas of bare peat with locally sourced vegetation. The six V-notch weirs conforming to British Standard 3680:Part 4A:1981 (British Standards Institute, 1981) were constructed from 18 mm marine plywood. Initially 90°, 65 l s-1, V-notch plates cut from 1 mm aluminium plate were fitted. Weirs were installed at sites identified in the experimental design phase. Each weir was embedded into the peat by 20cm vertically and 20-40cm horizontally and supported by two posts embedded 60-80cm into the peat. Where required the weirs were extended to ensure that there were no leaks between the bank and the weir. A stilling well equipped with a capacitive water logger was installed at each weir. The stilling wells were manufactured from 800 mm long, 43 mm diameter, ABS waste pipe tubing. After a period of evaluation (November 2020 – May 2021) the 90°, 65 l/s, V-notch plates were replaced with 28.4°, 15 l s-1 plates in order to improve low-flow (<6cm head) accuracy. The water loggers were set to record water levels every 10 minutes. Raw data was downloaded every 6 months and processed in a Python script using the BS 3680 formula. Water samples were taken from each weir (if water was present behind the weir on the sampling day)  over a two year period from September 2021 to September 2023  After samples are delivered to the laboratory the protocol for wet chemistry analysis follows the protocol of the National Water Inventory of Scotland (NWIS) project. pH, conductivity and turbidity were then measured on all samples before a 100ml subsample was filtered through a 0.45 µm membrane. The remaining unfiltered sample is stored in a cold room and the filter membrane was retained, air dried and stored in plastic bags, for potential further analysis. The filtered water was analysed for DOC on a Skalar TOC analyser (Norcross, USA).

opencc-by-4.0Apr 2024View details →

Experimental Study on the Krauklis Wave Under Fluid Flow

This data set contains the code and data for the "Experimental Study on the Krauklis Wave Under Fluid Flow" and is reffered to the paper submitted in the Journal of Geophysical Research: Solid Earth named "Possibility of Fluid Flow Characterization via a Geophysical Signal: Experimental Study on the Krauklis Wave Under Fluid Flow".

opencc-by-4.0Apr 2024View details →

Optical Flow FLDAS Climate Velocity for 2001-2021

Climate velocity estimated using an optical flow method using global surface temperature data of the NASA FLDAS model at 0.1×0.1-degree grid for 2000-2021

opencc-by-4.0Apr 2024View details →

From creep to flow: Granular materials under cyclic shear

This document includes all figures (with their captions) and SI for the manuscript entitled 'From creep to flow: Granular materials under cyclic shear' (10.48550/arXiv.2301.07309).

The codes and datasets for the paper titled "Don't Confuse! Redrawing GUI Navigation Flow in Mobile Apps for Visually Impaired Users"

<h3>Project Title:</h3> Redrawing GUI Navigation Flow in Mobile Apps for Visually Impaired Users <h3>Description:</h3> This project enhances GUI navigation accessibility for visually impaired users by analyzing GUI structures, identifying issues, and optimizing navigation flow. <h3>Contents:</h3> <ol> <li>Risk Warnings</li> <li>Variable Explanations</li> <li>Function Descriptions</li> <li>Usage Instructions</li> <li>Contact Information</li> </ol> <h3>1. Risk Warnings:</h3> <ul> <li>Navigation analysis focuses on visible nodes only.</li> <li>Code maintenance issue in loop C.</li> <li>Prior reading of the "Info" button warning is essential.</li> <li>Potential information loss in the reordering algorithm.</li> </ul> <h3>2. Variable Explanations:</h3> <ul> <li>Constants: parameter1, parameter2, outputSign.</li> <li>Global Variables: nodeString, nodeList, intToRect, intToDir, intToInfo, infoToInt, intToSubRect, intToSubKind.</li> <li>Local Variables: sortedSon, sign, acceptable.</li> </ul> <h3>3. Function Descriptions:</h3> <ul> <li>isNodeVisibleOnScreen: Checks if a node is visible on the screen.</li> <li>Gestalt: Conducts a depth-first search traversal of all nodes and records the Gestalt_inspired order.</li> <li>checkNodeNecessity: Further checks if a node is necessary for navigation.</li> <li>DFS: Used for the reordering algorithm.</li> </ul> <h3>4. Usage Instructions:</h3> <ul> <li>Ensure thorough understanding of risk warnings.</li> <li>Modify and maintain the code as necessary.</li> <li>Read the warning prompt before using the "Info" button.</li> <li>Exercise caution with potential information loss in reordering.</li> </ul> <h3>5. Contact Information:</h3> <ul> <li>Developer: Mengxi Zhang</li> <li>Email: <a target="_new">zmxalakay@126.com</a></li> </ul> Note: This README provides a brief overview. Refer to the User_Guidelines documentation for detailed information.

opencc-zeroApr 2024View details →

dryad36/100

Data from: Genetic analysis of red deer (Cervus elaphus) administrative management units in a human-dominated landscape - patterns of genetic diversity, population structure and gene flow

Red deer (Cervus elaphus) throughout central Europe are impacted by different anthropogenic activities including habitat fragmentation, selective hunting, and translocations. This has substantial influences on genetic diversity and the long-term conservation of local populations of this species. Here we use genetic samples from 480 red deer individuals to assess the genetic diversity and differentiation of the 12 administrative management units located in Schleswig Holstein, the northernmost federal state in Germany. We applied multiple analytical approaches and show that the history of local populations (i.e., translocations, culling of individuals outside of designated red deer zones, and anthropogenic infrastructures) has led to comparably low levels of genetic diversity. The mean expected heterozygosity was below 0.6 and we observed on average 4.2 alleles across 12 microsatellite loci. Effective population sizes below the recommended level of 50 were estimated for multiple local populations. Our estimates of genetic structure and gene flow show that red deer in northern Germany are best described as a complex network of asymmetrically connected subpopulations, with high genetic exchange among some local populations and reduced connectivity of others. Genetic diversity was also correlated with population densities of neighboring management units. Based on these findings, we suggest that connectivity among existing management units needs to be considered in the practical management of the species, which means that some administrative management units should be managed together, while the effective isolation of other units needs to be mitigated.

Kilauea 2018 fissure 8 lava flow velocimetry

The spreadsheet contains information derived from performing particle image velocimetry (PIV) on segments of videos collected by uncrewed aerial systems (UAS, drones) during the 2018 Kilauea lower East Rift Zone eruption in Hawai'i.  Videos were collected in specific sites along the main Fissure 8 channel. Sites are numbered 1 to 21. For each video, the dataset reports the Site over which it was recorded, the date and time or recording, the distance of the site from the eruptive vent, the ground slope and channel width and depth at the site, and the measured mean and maximum velocities as obtained from the PIV analysis. The set also reports the derived effective viscosity we calculate using the above prameters.

Surface flow velocity from Pulmanki, Koita and Sävar Rivers 2020-2022

Data description: Surface flow velocity dataset was created using Hydro-STIV software (Hydro-STIV v.1.2.2, Hydro Technology Institute co.), which uses Space-Time Image Velocimetry (STIV) for velocity estimation, a method derived from Large-Scale Particle Image Velocimetry (LSPIV) developed by Fujita in 2007 (Fujita et al., 2007). The videos were georeferenced using known GCPs and the software performed orthorectification and calibration. The data has been used for publication "Surface flow and ice rafting velocities during freezing and thawing periods in Nordic rivers". Data consists of videos and daily stil images from Pulmanki, Koita and Sävar Rivers from Autumn freezing and Spring thawing periods. The data from Koita River is from 2020-2021 and from Pulmanki and Sävar Rivers from 2021-2022. The original raw data based on which the STIV analysis was performed was collected with Burrel time-lapse RGB cameras.    Acknowledgements: The river-ice related measurements were initiated at Pulmankijoki River in 2014 under the post-doctoral research project of Dr Lotsari, funded by the Research Council of Finland (ExRIVER: grant number 267345), and this study is a continuum in the series of these winter season studies. The work for this study was financially supported by four other projects funded by the Research Council of Finland (DefrostingRivers: 338480; HYDRO-RDI-Network: 337394; Digital Waters [DIWA] Flagship;359248). In addition, the work was funded by The European Union – NextGenerationEU Recovery instrument (RRF) through Research Council of Finland projects Hydro RI Platform (346167) and Green-Digi-Basin (347703). The Department of Geographical and Historical Studies, University of Eastern Finland, supported financially the field work done at Koita River. The work by Dr Lina Polvi-Sjöberg at the Sävar River was financed by a grant (2023-01513) from the Swedish Research Council Formas.

Supplementary Table 1 Interview flow and description of activities

Supplementary table 1

opencc-by-4.0Oct 2024View details →

Sediment flow Connectivity Index (SfCI) data in Apulia region (Italy)

This dataset includes Sediment flow Connectivity Index (SfCI) data for Apulia region (Italy). The data are separated into folders: input data, graphs, index maps and product maps. The approach applied to build the geodatabase is based on the step-by-step processing of SfCI (Zingaro et al., 2019). The product maps of the geodatabase represent sediment mobility and connectivity maps of Apulia region, implemented also in a WebGIS platform.

Dataset for On the Relevance of Static Cells for Fast Scale-Up of New Redox Flow Battery Chemistries

Dataset for the results shown in the publications "On the Relevance of Static Cells for Fast Scale-Up of New Redox Flow Battery Chemistries"

Data from: Numerical modelling of bridges in 2D shallow water flow simulations

This repository includes the experimental dataset colleted in the Hydraulics Laboratory of the University of Zaragoza in 2014. The experiments were carried out with different bridge configurations in a straight flume for both steady and transient flow regimes. The data were published originally in: Ratia, H., Murillo, J. and García-Navarro, P. (2014), Numerical modelling of bridges in 2D shallow water flow simulations. Int. J. Numer. Meth. Fluids 75, pp. 250-272. <a href="https://doi.org/10.1002/fld.3892">https://doi.org/10.1002/fld.3892</a> This dataset has been made available online to the research community thanks to the support of the project PID2022-137334NB-I00 funded by MCIN/AEI/10.13039/ 501100011033 and by “ERDF/EU”.

Dataset for An Automatized Rebalancing System to Address Faradaic Imbalance and Prolong Cycle Life in Alkaline Ferrocyanide – Anthraquinone Redox Flow Batteries

Dataset for the results shown in the publications "An Automatized Rebalancing System to Address Faradaic Imbalance and Prolong Cycle Life in Alkaline Ferrocyanide – Anthraquinone Redox Flow Batteries"

Continuous-Flow Synthesis of BiVO4 Nanoparticles: From laboratory scale to practical systems

#Data set of "Continuous-Flow Synthesis of BiVO4 Nanoparticles: From laboratory scale to practical systems" --- ## GENERAL INFORMATION 1. Data set title: "Continuous-Flow Synthesis of BiVO4 Nanoparticles: From laboratory scale to practical systems" 2.Authorship:     Name: Christian Robles    Institution: Institute of Advanced Materials (INAM), Universitat Jaume I, 12006, Castelló, Spain    ORCID: 0000-0003-1166-2950    Name: Laura Montañés    Institution: Institute of Advanced Materials (INAM), Universitat Jaume I, 12006, Castelló, Spain    ORCID: 0000-0002-1076-013X           Name: Camilo A. Mesa    Institution: Institute of Advanced Materials (INAM), Universitat Jaume I, 12006, Castelló, Spain    ORCID: 0000-0002-8450-2563    Name:Diego Iglesias     Institution: institute of Advanced Materials (INAM), Universitat Jaume I, 12006, Castelló, Spain    ORCID: 0000-0002-4030-5816    Name: Helena Rabelo    Institution: Catalan Institute of Nanoscience and Nanotechnology (ICN2) and BIST, Campus UAB, Ballaterra, 08193, Barcelona, Spain    ORCID: 0000-0002-7773-3929    Name: Maria Chiara Spadaro    Institution: Catalan Institute of Nanoscience and Nanotechnology (ICN2) and BIST, Campus UAB, Ballaterra, 08193, Barcelona, Spain. Department SIMAU, Marche Polytechnic University, 60131, Ancona, Italy.    ORCID: 0000-0002-6540-0377      Name: Jordi Arbiol    Institution: Catalan Institute of Nanoscience and Nanotechnology (ICN2) and BIST, Campus UAB, Ballaterra, 08193, Barcelona, Spain ICREA, 08010, Barcelona, Spain    ORCID: 0000-0002-0695-1726    Name: Jesús Redondo    Institution: Department of Polymers and Advanced Materials, Centro de Física de Materiales CFM (UPV/EHU-CSIC), University of the Basque Country UPV/EHU, 20018, San Sebastián Spain. Department of Surface and Plasma Science, Faculty of Mathematics and Physics, Charles University, 180 00 Prague 8, Czech Republic     ORCID: 0000-0002-8147-689X    Name: F.Schiller    Institution: Department of Polymers and Advanced Materials, Centro de Física de Materiales CFM (UPV/EHU-CSIC), University of the Basque Country UPV/EHU, 20018, San Sebastián Spain. Donostia International Physics Center DIPC, 20018 San Sebastián, Spain    ORCID: 0000-0003-1727-3542    Name:Sara Barja    Institution: Department of Polymers and Advanced Materials, Centro de Física de Materiales CFM (UPV/EHU-CSIC), University of the Basque Country UPV/EHU, 20018, San Sebastián Spain. Donostia International Physics Center DIPC, 20018 San Sebastián, Spain. IKERBASQUE, Basque Foundation for Science, 48009 Bilbao, Spain    Name: Beatriz Julián-López    Institution: Institude of Advanced Materials (INAM), Universitat Jaume I, 12006, Castelló, Spain    ORCID: 0000-0003-1019-776X    Name: Ana Gutiérrez-Blanco    Institution: Institude of Advanced Materials (INAM), Universitat Jaume I, 12006, Castelló, Spain    ORCID: 0000-0001-9412-2321    Email: <angutier@uji.es>    Name: Victor Sans    Institution: Institude of Advanced Materials (INAM), Universitat Jaume I, 12006, Castelló, Spain    ORCID: 0000-0001-7045-5244    Email: <sans@uji.es>    Name: Sixto Giménez    Institution: Institude of Advanced Materials (INAM), Universitat Jaume I, 12006, Castelló, Spain    ORCID: 0000-0002-4522-3174    Email: <sjulia@uji.es> ## FILE DESCRIPTION ---------------- ### Figure 1 -Fig1b.txt : Distribution hystogram of the BiVO4 NPs after the synthetic procedure. ### Figure 3 (All measurements were carried out in 0.1 M potassium phosphate buffer (pH 7), containing 0.1 M Na2SO3 as hole scavenger.) -Fig3a.txt : LSVs under chopped illumination conditions, scan rate, 10 mV·s-1, simulated solar light (AM 1.5 G, 100 mW·cm-2), back illumination. -Fig3b.txt : Chronoamperometries at 1.23 V vs. RHE. -Fig3c.txt : IPCE measurements and integrated photocurrent at 1.23 V vs. RHE ### Figure 4 -Fig4c.txt : LSV of the measured photoanode (the electrolyte consisted on 0.5 M KPi at a constant pH of 7 and 0.5 M Na2SO3 as hole scavenger) with back illumination configuration. ### Figure S4 -FigS4a.txt : Absorbance spectra of the different BiVO4 colloidal suspension alliquots taken for reproducibility studies.Seven consecutive synthetic runs were carried out and an aliquot was taken from each run, always under identical conditions regarding the collection time of the sample (30 minutes after starting the reaction). -FigS4b.txt : Transmittance spectra of the different BiVO4 colloidal suspension alliquots taken for reproducibility studies.Seven consecutive synthetic runs were carried out and an aliquot was taken from each run, always under identical conditions regarding the collection time of the sample (30 minutes after starting the reaction). -FigS4c.txt : Absorbance mean + error or the different BiVO4 colloidal suspension alliquots taken for reproducibility studies. -FigS4d.txt : Transmittance at the selcted wavelength (400 nm) for the different BiVO4 colloidal suspension alliquots taken for reproducibility studies. ## Figure S6 -FigS6.txt : Thermogravimetric analysis (TGA) curve of the BiVO4 NPs from room temperature to 500 ºC. ### Figure S7 -FigS7.txt : XRD patterns of the FTO/BiVO4 photoanodes before and after thermal annealing.   ### Figure S8 -FigS8a.txt : Raman spectra of the FTO/BiVO4/Al2O3 based films before and after annealing.  -FigS8b.txt : FT-IR spectra of the FTO/BiVO4/Al2O3 based films before and after annealing.   ### Figure S9 -FigS9a.txt : Absorptance spectra of the FTO/BiVO4/Al2O3 samples before and after the annealing process. -FigS9b.txt : Tauc plot of the FTO/BiVO4/Al2O3 samples before and after the annealing process.   ### Figure S11 -Fig11a.txt : LSV of the FTO/BiVO4/Al2O3 films in 0.1 M potassium phosphate buffer (pH 7) containing 0.1 M Na2SO3 as hole scavenger under AM 1.5 G, 100 mW·cm-2 back side illumination (scan rate, 10 mV·s-1) for the deposition reproducibility studies. -Fig11b takes the same data contained in Fig11a.txt ### Figure S12 (Measurements in 0.1 M phosphate buffer (pH 7) containing 0.1 M Na2SO3 as hole scavenger under AM 1.5 G, 100 mW·cm-2 back side illumination.) -FigS12a.txt : Consecutive LSVs (LSV1, LSV2 LSV3) and LSV after 2 hours testing for the FTO/BiVO4 (area 5 cm2). -FigS12b.txt : Consecutive LSVs (LSV1, LSV2 LSV3) and LSV after 2 hours testing for the FTO/BiVO4/Al2O3 films (area 5 cm2) showing the enhanced stability after deposition of the Al2O3 layer.

opencc-by-4.0Dec 2024View details →

Data, Figures and Codes for "Experimental analyses of pore-size dependent biomineralization in porous media under various flow rate and bacterial density scenarios"

<pre>This repository contains the data, codes and figures for the manuscript "Experimental analyses of pore-size-dependent biomineralization in porous media under various flow rate and bacterial density scenarios". Comments welcome. </pre>

opencc-by-4.0May 2024View details →

Data from Deng et al. (2025) "Secular Change of Preservation of Lunar Sinuous Rilles: Constraints from Lava Flow Numerical Modeling"

These are the updated supplemental materials of our article, adding more groups of simulation and a sensitivity analysis of two parameters, cell width and plane slope.

Experimental dataset on basal stresses and seismic signals generated by granular flows moving on a 3D-printed bumpy substrate

This dataset provides the data supporting the experimental study of granular flows moving on a 3D-printed bumpy substrate considering the response of basal stresses and seismic signatures. S1_video clips_the side-view of the kinematic behaviors of the granular flows tracked by a high-speed camera. S2_data_stress and seismic signals measured at the instrumented plate S3_data_example of velocity fields downstream and normal to the base S4_data_propagation features of the flow characterized by basal stresses and seismic signals S5_data_variations of the depth-averaged velocity of the granular flows and corresponding nondimensionalized downslope velocity profiles S6_data_profiles of the velocity of the granular flows normal to the base along with their depth-averaged velocities in the basal layers S7_data_ nondimensionalized shear rates of the granular flows for various particle diameters  S8_data_depth-averaged shear rates and corresponding inertial numbers for granular flows with different particle sizes S9_data_the mean normal stress and shear stress and stress fluctuations normal and tangential to the base S10_data_characteristics of seismic signals in terms of peak amplitude, mean envelope, seismic deviation factor, and the signal mean frequency S11_data_effective basal friction coefficient and equivalent friction coefficient as functions of particle diameter S12_data_relationships between nondimensionalized normal stress fluctuations and nondimensionalized basal vertical velocity, inertial number, effective basal friction coefficient and equivalent friction coefficient of the flows. S13_data_seismic deviation factor as functions of nondimensionalized normal stress fluctuations, inertial number, effective basal friction coefficient and equivalent friction coefficient S14_data_Comparison of effective basal friction coefficient μ_b and that scaled by the nondimensionalized basal vertical velocity.