Find research datasets worth reusing

Flow velocity measured from MacKay River Estuary, Georgia, USA

Title:  Flow velocity measured from MacKay River Estuary, Georgia, USA Author: Li, Chunyan Contact/PI: Li, C. (cli@lsu.edu) Description: The data provided here are measured flow velocity profiles from a moving vessel in the MacKay River Estuary in Georgia, USA. The survey was done on March 31 16, 2003. Time is UTC. There is only 1 file. The instrument was a 1200 kHz RDI ADCP. The file is in ASCII format. It is output from the RDI’s program WinRiver II. The file name is: March31_MackayRiver002_ASC.TXT

Supplemental networks of cowords of the paper Measuring the impact of Big Data in the scientific research in Agriculture and allied fields

Supplemental networks of cowords of the paper Measuring the impact of Big Data in the scientific research in Agriculture and allied fields.

Synthetic and measured emission spectra for testing and validation of MEC-BP

The data contain synthetic and measured (spark discharge) emission spectra in order to test and validate the results of the so called multi-element combinatory Boltzmann plot method. This is an OES-based approach to deduce the number concentration ratio of two elements present in a spark discharge plasma employed for binary NP generation in the gas phase. It is aimed to provide a tool for investigating the evolution of the concentration ratio corresponding to the ablated electrode materials in spark-based NP generators under real operational conditions. The method is based on the construction of a Boltzmann plot for the spectral line intensity ratios at every combination. The produced plots (the so-called multi-element combinatory Boltzmann plots, MEC-BPs) are directly related to the LTE plasma temperature and the number concentration ratio of the neutral atoms. The total concentration ratio – including ions – is calculated from a simple plasma model, without requiring further measurements. The python project in which the method is implemented can be found here: https://pypi.org/project/spark-mec-bp/0.1.0/

opencc-zeroJul 2023View details →

Non-contact measurement of a free flying bumblebee's (Bombus terrestris) electrical potential as it approaches and leaves a fixed electrode

With increasing evidence of electroreception in terrestrial arthropods, understanding receptor level processes is vital to appreciating the capabilities and limits of this sense. Here, we examine the spatio-temporal sensitivity of mechanoreceptive filiform hairs in detecting electrical fields. We first present empirical data, highlighting the time-varying characteristics of biological electrical signals. We then explore how electrically sensitive hairs may respond to such stimuli. The main findings are: 1) oscillatory signals (elicited by wingbeats) influence the spatial sensitivity of hairs, unveiling an inextricable spatio-temporal link; 2) wingbeat direction modulates spatial sensitivity; 3) electrical wingbeats can be approximated by sinusoidally modulated DC signals; and 4) for a moving point charge, maximum sensitivity occurs at a faster timescale than a hair's frequency-based tuning. Our results show that electro-mechanical sensory hairs may capture different spatio-temporal information, depending on an object's movement and wingbeat and in comparison, to aero-acoustic stimuli. Crucially, we suggest that electrostatic and aero-acoustic signals may provide distinguishable channels of information for arthropods. Given the pervasiveness of electric fields in nature, our results suggest further study to understand electrostatics in the ecology of arthropods and to reveal unknown ecological relationships and novel interactions between species.

opencc-zeroJul 2023View details →

Data from: Remotely sensed environmental measurements detect decoupled processes driving population dynamics at contrasting scales

The increasing availability of satellite imagery has supported a rapid expansion in forward-looking studies seeking to track and predict how climate change will influence wild population dynamics. However, these data can also be used in retrospect to provide additional context for historical data in the absence of contemporaneous environmental measurements. We used 167 Landsat-5 Thematic Mapper (TM) images spanning 13 years to identify environmental drivers of fitness and population size in a well-characterized population of banner-tailed kangaroo rats (Dipodomys spectabilis) in the southwestern United States. We found evidence of two decoupled processes that may be driving population dynamics in opposing directions over distinct time frames. Specifically, increasing mean surface temperature corresponded to increased individual fitness, where fitness is defined as the number of offspring produced by a single individual. This result contrasts with our findings for population size, where increasing surface temperature led to decreased numbers of active mounds. These relationships between surface temperature and (i) individual fitness and (ii) population size would not have been identified in the absence of remotely sensed data, indicating that such information can be used to test existing hypotheses and generate new ecological predictions regarding fitness at multiple spatial scales and degrees of sampling effort. To our knowledge, this study is the first to directly link remotely sensed environmental data to individual fitness in a nearly exhaustively sampled population, opening a new avenue for incorporating remote sensing data into eco-evolutionary studies.

Preferential information extraction from space-based passive microwave measurements enables accurate characterization of snow depth variability at continental scales

This is a repository contains  1)training data (x_data, y_data, snow_max)  2) Developed Deep Learning model (snow_model.py) 3) Training weights (*.hdf files) for publication " Preferential information extraction from space-based passive microwave measurements enables accurate characterization of snow depth variability at continental scales"

A case study for measuring the relativistic dipole of a galaxy cross-correlation with the Dark Energy Spectroscopic Instrument: Data Repository

This repository contains the synthetic catalogue for the DESI Bright Galaxy Survey produced wit the N-body code gevolution, which is analysed in the manuscript "<a href="https://arxiv.org/abs/2306.04213">A case study for measuring the relativistic dipole of a galaxy cross-correlation with the Dark Energy Spectroscopic Instrument</a>", as well as the raw data of the analysis results. The catalogue "catalogue.csv.bz2" is in the CSV format and can be directly read using the pandas library of python, for example. The columns in the catalogue contain the following information: 0. Column index 1. Comoving coordinate x (in units of Mpc/h) 2. Comoving coordinate y (in units of Mpc/h) 3. Comoving coordinate z (in units of Mpc/h) 4. Observed redshift 5. Cosine of the observed polar angle measured with respect to the axis pointing in the direction (1,1,1) along the box diagonal (the original comoving coordinate system has been rotated with an intrinsic z-y-z Euler rotation, first rotating along the z-axis with \(\phi_1 = \pi/4\), then rotating along the new y axis with \(\theta_2 = \mathrm{arccos}(1/\sqrt{3})\) and setting the final rotation angle to zero, \(\phi_3 = 0\); hence to get the unperturbed mu and phi coordinates, one needs to rotate the comoving x, y and z coordinates with the corresponding inverse Euler rotation matrix) 6. Observed azimuthal angle phi measured with respect to axis pointing in the direction (1,1,1) along the box diagonal (the original comoving coordinate system has been rotated with an intrinsic z-y-z Euler rotation, first rotating along the z-axis with \(\phi_1 = \pi/4\), then rotating along the new y axis with \(\theta_2 = \mathrm{arccos}(1/\sqrt{3})\) and setting the final rotation angle to zero, \(\phi_3 = 0\); hence to get the unperturbed mu and phi coordinates, one needs to rotate the comoving x, y and z coordinates with the corresponding inverse Euler rotation matrix) 7. Logarithm of the luminosity in units of solar luminosity \(L_\odot\) 8. Observed flux (in units of \(L_\odot/\mathrm{Mpc}^2\)) 9. Number of particles in each object, plus a uniform noise between 0 and 1. This quantity is the proxy of the mass that was used to assign luminosity to the objects. 10. Flag that identifies the selected objects within each redshift bin. The Flag is 0 for objects not included in the catalogue, and equal to the mean redshift of the bins \(\bar{z} = 0.25, 0.35, 0.45\) for the selected objects.  11. Flag that identifies the bright and faint objects for case 1 (50% bright, 50% faint, no flux limit). Flag = 0 for non-selected objects, Flag = 1 for bright objects, Flag = 2 for faint objects. 12. Flag that identifies the bright and faint objects for case 2 (90% bright, 10% faint, no flux limit). Flag = 0 for non-selected objects, Flag = 1 for bright objects, Flag = 2 for faint objects. 13. Flag that identifies the bright and faint objects for case 3 (50% bright, 50% faint, with flux limit). Flag = 0 for non-selected objects, Flag = 1 for bright objects, Flag = 2 for faint objects. 14. Flag that identifies the bright and faint objects for case 4 (90% bright, 10% faint, with flux limit). Flag = 0 for non-selected objects, Flag = 1 for bright objects, Flag = 2 for faint objects. The example script "example-script.ipynb" demonstrates how to query the catalogue to extract e.g. the redshift distribution of the objects for the different cases considered in Table 4 of the manuscript. Additionally, the measured dipole data vectors with the jackknife covariance matrices (\(\mathrm{cov}^\mathrm{JK}_{ij}\)), as well as the theoretical data vectors with the theoretical measurement covariance (\(\mathrm{cov}^\mathrm{th}_{ij}\)) and the theoretical prediction covariance (\(\mathrm{cov}^\mathrm{pred}_{ij}\)) are provided within this repository: <ul> <li>In the measurements.tar.gz archive, the measured data for the flux-limited case can be found in the /flux-limit subdirectory, while the data for the case without flux-limit is in /no-flux-limit. The data vectors are named "dipole_<redshift bin>_<% of bright galaxies>.txt. The first column in each of those files is the separation bin \(d\) in \(\mathrm{Mpc}/h\), the second column is the mean two-point correlation function dipole of the 100 jackknife subsamples, and the third column is the square root of the diagonal part of the jackknife covariance matrix (\(\mathrm{cov}^\mathrm{JK}_{ij}\)). The corresponding jackknife covariance matrices are named "cov_<redshift bin>_<% of bright galaxies>.txt.</li> <li>In the theory.tar.gz archive, the theoretical predictions are found in /flux-limit for the case with flux limit and in /no-flux-limit for the case without flux limit. The theoretical data vectors are named "dipole_<% of bright galaxies>B_z<redshift bin>_gevol.dat". The first column in each of those files is the separation bin \(d\) in \(\mathrm{Mpc}/h\), the second column the theoretical two-point correlation function dipole and the third column is the square root of the diagonal part of the theoretical prediction covariance matrix (\(\mathrm{cov}^\mathrm{pred}_{ij}\)) . The theoretical measurement covariance matrices are named "covariance_Lp6_<% of bright galaxies>B_z<redshift bin>_gevol.dat", and the theoretical prediction covariance matrices are named "covtheo_<% of bright galaxies>B_z<redshift bin>_gevol.dat". </li> </ul> The example script also demonstrates how to use these data files to reproduce plots of the dipole measurement vs the theoretical prediction like in Figures 6, 7, C1 and C2. The archives need to be unpacked before using the example script to access the data.

Experimental study on the benefits of nature-based solutions for debris-flow mitigation via synergistic eco-geotechnical measures

This supporting information provides the supplementary data (Raw data and videos) which were used to describe the effects of integrated eco-geotechnical measures on debris flow severity, flow rate, velocity, and particle size by various small-scale flume experiments.

GLOBE Observer Summary and Measurement Data

Data accessed from GLOBE Advanced Data Access Tool, used protocols "Land Cover" and "Mosquito Habitat Mapper" data from 01/01/1995-07/20/23 in Virginia, Maryland, North Carolina, and Delaware. As a part of a SEES2023 project investigating the effects of urbanization on mosquito population dynamics, this dataset was used in tandem with another to analyze how consistent GLOBE citizen science data is for inference/predictions about relationships between urbanization and larvae counts

opencc-zeroJul 2023View details →

RapidEye and Landsat remote sensing measures for Sabah Biodiversity Experiment plots

Experiments under controlled conditions have established that ecosystem functioning is generally positively related to levels of biodiversity but it is unclear how widespread these effects are in real-world settings and whether they can be harnessed for ecosystem restoration. We used a long-term, field-scale tropical restoration experiment to test how the diversity of planted trees affected recovery of a 500-ha area of selectively logged forest measured using multiple sources of satellite data. Replanting using species-rich mixtures of tree seedlings with higher phylogenetic and functional diversity accelerated restoration of remote sensing estimates of aboveground biomass, canopy cover and Leaf Area Index. Our results are consistent with a positive relationship between biodiversity and ecosystem functioning in the lowland dipterocarp rainforests of SE Asia and demonstrate that using diverse mixtures of species can enhance their initial recovery after logging.

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.

MetForTC-Examples of phase transition plateau measurements of the new Sn miniature cells- 2023-07-27

The data presents the characterization of the prototype of the Sn fixed-point mini-cell and the associated reference thermocouple type SThe cells was utilised for the experimental characterisation for drift under different thermal conditions in three zone furnaces and dry-block calibrators., which was made by TUBITAK and measured by Lab1,Lab2 and Lab3.

Data for "The DESI One-Percent Survey: Evidence for Assembly Bias from Low-Redshift Counts-in-Cylinders Measurements"

Summary statistics, covariance matrices, and MCMC results for each of our HOD samples. For links to the original data catalogs and instructions to reproduce the analysis, see the README at: <a href="https://github.com/AlanPearl/galtab/tree/main/galtab/paper2/">https://github.com/AlanPearl/galtab/tree/main/galtab/paper2/</a> In brief, the desi_observations/desi_obs_*.npz files contain information about each threshold/redshift sample. Data is loaded via `obs_data = np.load(filename, allow_pickle=True)`, and all available fields can be shown via `obs_data.keys()`. Most importantly, our target data and its corresponding covariance matrix can be accessed with the "mean" and "cov" keys, respectively. These arrays can be sliced into our three observables using the slice objects accessed with the "slice_n", "slice_wp", and "slice_cic" keys. The emcee MCMC chains for each sample can be found under desi_results/results_*/emcee_backend.h5. To access the chain data (i.e., to construct corner plots of our HOD parameters), you can either follow our paper plot notebooks linked in the README above, or see the <a href="https://emcee.readthedocs.io/en/stable/">emcee documentation</a>.

Temperature measurements of full-scale wall element using Type K thermocouples to observe internal convection in loose-fill wood fiber insulation

Internal convection of insulation materials is a phenomenon that occurs when a construction element is subjected to a temperature difference on either side of the element, as the temperature difference inside the insulation will facilitate an onset of air movement due to thermal buoyancy. This dataset represents the results of 11 unique experiments conducted at Aalborg University at the Department of the Built Environment, where a full-scale wall element insulated with loose-fill wood fiber insulation is investigated for internal convection. A large guarded hotbox is used to control the boundary conditions of either side of the wall element, to imitate a construction element subjected to external and internal boundary conditions, similar to a wall in a house. This dataset can be used to benchmark other insulation materials investigated at similar boundary conditions. The dataset is structured into steady-state experiments and dynamic experiments, where a total of 7 unique cases are conducted in steady-state conditions, and 4 unique cases are conducted in dynamic conditions. The dataset for the steady-state experiments is structured by the temperature difference that the full-scale wall element is exposed to, from the cold and hot side, while the dynamic experiments are structured by the amplitude of the temperature variation, along with if an artificial sun is used or not. The results for the internal convection of the loose-fill wood fiber insulation show similar results as other studies that have conducted experiments on other insulation materials. For more information, see doi: 10.54337/aau488363266

opencc-zeroDec 2022View details →

Data from: Transmission line data of different fault instances retrieved through Phasor Measurement Unit (PMU)

This study presents a dataset comprising time series data pertaining to different electrical grid scenarios, encompassing both fault-free instances and occurrences of short circuits. The dataset was meticulously created by simulating various fault scenarios using the ePMU DSA tools and Matlab Simulink. To capture these scenarios, a Phasor Measurement Unit (PMU) was deployed on a transmission line simulation model. Given the impracticality and potential risks associated with generating actual faults in a real power grid, this approach of simulating faulty scenarios through advanced tools has proven to be a reliable and effective methodology in the field of electrical grid studies. The resulting dataset offers valuable insights into power grid behavior during both normal and faulted conditions, thereby serving as a valuable resource for researchers and practitioners in the domain of power systems and fault analysis.

opencc-by-4.0Apr 2023View details →

Understanding the impact of host networking elements on traffic bursts: Raw measurement data

This record contains the raw trace files gathered by the Valinor network traffic burst measurement framework in Redis dump (rdb) format. Please refer to the artifact repository for instructions on how to parse and use the datasets: <a href="https://github.com/hopnets/valinor-rawdata">hopnets/valinor-rawdata: Raw Redis datasets containing the measurement results of Valinor NSDI '23 paper (github.com)</a>

Dataset for "Excellent test-retest reliability of the six-minute walking distance measured by FeetMe insoles during tests conducted with a one-week interval by completely unassisted healthy adults in their homes."

This is the dataset used in the scientific article "Excellent test-retest reliability of the six-minute walking distance measured by FeetMe insoles during tests conducted with a one-week interval by completely unassisted healthy adults in their homes." Participants (n=21) performed two 6MWTs at home while wearing the FeetMe insoles, and two 6MWTs at hospital while wearing FeetMe insoles and being assessed by a rater. All assessments were performed with a one-week interval between tests, no assistance was provided to the participants at home. Each column represents the 6MWD for each participant at one of the visits and using one of the measurement methods. Columns' headers provide clear description of the corresponding condition.

OCS fluxes from a coastal Antarctic tundra and soils measured by in situ static chamber method and lab-based jar incubations

The Antarctic tundra, dominated by non-vascular photoautotrophs (NVP) like mosses and lichens, serves as a vital habitat for sea animals, which contribute organic matter and oceanic sulfur to the land, potentially influencing sulfur transformations. Here, we measured OCS fluxes from the Antarctic tundra and linked them to soil biochemical properties. This dataset therefore is collected from these experiments. It includes the figure source data associated with a peer-reviewed publication that is currently under review. Once the manuscript is published, the URL and DOI number will be provided here and this description will be updated accordingly. Results revealed that the NVP-dominated upland tundra acted as an OCS sink (-1.0 ± 0.6 pmol m-2 s-1), driven by NVP and OCS-metabolizing enzymes from soil microbes (e.g., Acidobacteria, Verrucomicrobia, and Chloroflexi). In contrast, tundra within sea animal colonies exhibited OCS emissions (1.4 ± 0.4 pmol m-2 s-1), resulting from the introduction of organosulfur compounds that stimulated concurrent OCS production. Furthermore, sea animal colonization likely influenced OCS-metabolizing microbial communities and further promoted OCS production. Overall, this study highlighted the role of sea animal activities in shaping soil-atmospheric exchange of OCS through interacting with soil chemical properties and microbial compositions.

Data release for "Measurements of the muon-neutrino and muon-antineutrino-induced coherent charged pion production cross sections on Carbon-12 by the T2K experiment"

The T2K experiment reports the measurement of the flux averaged charged current coherent pion production cross section for neutrino and anti-neutrino scattering from  a Carbon nucleus.  These results are at a mean (anti)neutrino energy of 0.85~GeV in a restricted final state kinematic phase space. The neutrino measurement is an update to a previous result with systematic uncertainties reduced by a half. The antineutrino measurement is the first measurement of this cross section to be made at these energies. We find that the neutrino and antineutrino cross sections are consistent, as expected from theory, and that both agree with the current theoretical models, the Rein-Sehgal and Berger-Sehgal models. The data release contains a summary of these results as well as neutrino and antineutrino flux histograms with which the reader can make their own flux averaged cross section calculation. The paper is published in <a href="https://doi.org/10.1103/PhysRevD.108.092009">Physical Review D</a> and is available on the <a href="https://arxiv.org/abs/2308.16606">arXiv:2308.16606 [hep-ex]</a>.

Enrichment of calcium in sea spray aerosol: Insights from bulk measurements and individual particle analysis during the R/V Xuelong cruise in the summertime Ross Sea, Antarctica

This dataset is alout a paper that entiled "Enrichment of calcium in sea spray aerosol: Insights from bulk measurements and individual particle analysis during the R/V Xuelong cruise in the summertime Ross Sea, Antarctica".