Find research datasets worth reusing

opencc-by-4.0Oct 2022View details →

Data for: Two-dimensional infrared-Raman spectroscopy as a probe of water's tetrahedrality

Data for publication: T. Begusic and G. A. Blake, Two-dimensional infrared-Raman spectroscopy as a probe of water’s tetrahedrality (2022). Contains raw data, processed data, and processing and plotting scripts for the results presented in the manuscript. See README files enclosed in the dataset for details about the files and directories. Main results were produced with codes available at https://github.com/tbegusic/i-pi and https://github.com/tbegusic/encorr.

opencc-by-4.0Feb 2023View details →

Data related to the article "Frequency-dependent impedance of nanocapacitors from electrode charge fluctuations as a probe of electrolyte dynamics"

Contains input files and data used to generate the figures of the article: Frequency-dependent impedance of nanocapacitors from electrode charge fluctuations as a probe of electrolyte dynamics (Giovanni Pireddu and Benjamin Rotenberg) arXiv: https://arxiv.org/abs/2206.13322 The folder EXAMPLE_INPUT_FILES contains typical <a href="https://doi.org/10.21105/joss.02373">MetalWalls</a> (<a href="https://gitlab.com/ampere2/metalwalls">repository</a>) input files used to perform the simulations. The folder DATA_FIGURES contains the processed data used to plot all the figures of the paper (see below).   The 'd*' labels are used in the directory or file names to refer to the following interelectrode distances considered: - 'd1' corresponds to 2.51 nm; - 'd2' corresponds to 4.94 nm; - 'd3' corresponds to 9.76 nm; - 'd4' corresponds to 19.42 nm; Figure 1: - 'Fig1_Continuum.dat':         -  Capacitance calculated considering a continuum approximation - 'Fig1_DDS.dat':     -  Capacitance calculated considering the DDS model (three capacitors in series) - 'Fig1_MD.dat':     -  Capacitance calculated from MD simulations. Includes the capacitance of the empty capacitor. Figure 2: Panel A - 'Fig2_QACFd*.dat':     - Time autocorrelation function of the electrode charge fluctuations Panel B - 'Fig2_Qrampd*.dat':     - Charge profile upon a step in voltage (0 to 1 V) - 'Fig2_Vramp.dat':     - Voltage ramp related to the charging profiles Panel C - 'Fig2_QACFNormd*.dat':     - Normalized charge autocorrelation function -'Fig2_QrampNormd*.dat'     - Normalized charge profile Figure 3: - 'Fig3_MDd*.dat':     - Real and imaginary parts of impedance as estimated from MD simulations - 'Fig3_ECd*.dat'     - Real and imaginary parts of impedance as calculated from the equivalent circuit models Figure 4: - 'Fig4_MDd*.dat':     - Magnitude of admittance as estimated from MD simulations - 'Fig4_Debyed*.dat':     - Magnitude of admittance as calculated from the Debye relaxation model Inset - 'Fig4_MDTau.dat':     - Relaxation time estimated from MD simulations - 'Fig4_TauFit.dat':     - Fit of the relaxation time

opencc-by-4.0Nov 2022View details →

Datasets supplementing journal article "Probing dynamic covalent chemistry in a 2D boroxine framework by in-situ near-ambient pressure X-ray photoelectron spectroscopy" in Nanoscale 2022

Datasets supporting the Nanoscale journal article "Probing dynamic covalent chemistry in a 2D boroxine framework by in-situ near-ambient pressure X-ray photoelectron spectroscopy". NAP-XPS.zip: Near-ambient pressure X-ray photoelectron spectroscopy, Figures 2, 3. (NEP 101007417) STM.zip: Scanning tunneling microscopy, Figure 5a, inset. (NEP 101007417) TPD.zip: Temperature programmed desorption, Figure 1a. UHV-XPS.zip: X-ray photoelectron spectroscopy, Figure 1b,c. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101007417, having benefited from the access provided by by ALBA in Barcelona (Spain) and CNR-IOM in Trieste (Italy) within the framework of the NFFA-Europe Pilot Transnational Access Activity, proposal ID075.

opencc-by-4.0Apr 2023View details →

Supplementary Materials for "UJI Probes: Dataset of Wi-Fi Probe Requests"

This package contains an anonymized packets of 802.11 probe requests captured throughout March of 2023 at Universitat Jaume I. The packet capture file is in the standardized *.pcap binary format and can be opened with any packet analysis tool such as Wireshark or scapy (Python packet analysis and manipulation package). The dataset is usable for analyzis of Wi-Fi probe requests, presence detection, occupancy estimation or signal stability analyzis.

opencc-by-4.0Jul 2023View details →

Needle Langmuir Probe - guard and boom effects

The dataset includes two distinct simulation setups named "LG_experiment" and "RG_RP_experiment". A detailed explanation of the datasets is given in the article "Effects of Guard and Boom on Needle Langmuir Probes Studied With Particle in Cell Simulations"   The naming convention of the included folders is a description of the simulation contained within with the convention following the order: probe length (Lp) probe radius (Rp) length of guard (Lg) guard radius (Rg) probe voltage (Vp)  boom voltage (Vb). Each descriptor has a numeric value with three numbers where the last is the first decimal, eg 010 corresponds to 1.0. All lengths are given in Debye Lengths.   The LG_experiment is a simulation setup where all parameters are fixed except the guard length, to investigate the effects of the guard length on the cylindrical Langmuir probe.   The RG_RP_experiment is a simulation setup where all parameters are fixed except the guard radius, to investigate the effects of the guard radius on the cylindrical Langmuir probe. Two guard radii are included.   Each simulation folder contains  three data files. The pictetra.hst file which is the history of the probe-guard-boom system. The index values 0,1,2 correspond to the probe,guard and boom respectively. (see the included plot.py). The scc*.vtk files contain surface values on the probe-guard-boom system, and the pictetra*.vtk files contain plasma values through the simulated domain.   A minimal python example for plotting the currents is included in the file "plot.py".

opencc-by-4.0Sep 2023View details →

Simulations of magnetized Spherical Langmuir probes

Dataset containing Particle-in-Cell simulations of Langmuir probes in magnetized plasma decribed in the paper "Spherical Langmuir probes in magnetized plasma. A model based on Particle-in-Cell simulations". The simulations are done for plasma parameters representative of the lower E-region ionosphere, with probe biases in the electron saturation regime. Each simulation has its own folder denoting the magnetic field strength |B| in Tesla, and probe bias electric potential in Voltage. The folder naming convention uses three digits for numerical values, where the last digit is after the decimal point. i.e "010" is the value 1.0.    Plasma parameters used for simulations: Density (e,i) (m−3)      5.9e9 Te(K)                           1000 Ti(K)                            1000 me(kg)                        9.11e-31 mi(kg)                         4.55e-28 The hierarchical structure of the history.xy.h5 files:     -current         -electrons             -dataset         -ions             -dataset     -energy         -kinetic             -specie 0             -specie 1             -total         -potential             -specie 0             -specie 1             -total     -potential         -dataset The top-level group "current" is the current to the probe given for electrons and ions. Values are in Ampere. "energy" is the total kinetic and potential energies within the whole simulated domain for electrons (specie 0), ions (specie 1), and both species combined (total). The potential energy is not calculated per species for these simulations, and is therefore set to zero. Values are given in Joule. The top-level group "potential" is the electric potential (bias) of the probe and is given in Volts. Each datapoint is given each 1.5*10^(-9) s, giving it a sampling frequency of 6.67*10^(8) Hz.   In addition density data for the whole simulated domain is given in separate H5 files for (rho) electropns, ions, the combined charge density, and (phi) the electric potential.    Example python ploting scripts is added for ease of access.

opencc-by-4.0Aug 2023View details →

Data Release: "LIGO-Virgo-KAGRA's Oldest Black Holes: Probing star formation at cosmic noon with GWTC-3"

This repository contains the data behind the figures presented in v2 of "LIGO-Virgo-KAGRA's Oldest Black Holes: Probing star formation at cosmic noon with GWTC-3" (<a href="https://ui.adsabs.harvard.edu/link_gateway/2023arXiv230715824F/arxiv:2307.15824">arXiv:2307.15824</a>), to appear in ApJL.The csv files (in Output.zip) and the h5 files contain the data products. The three Jupyter notebooks include code for plotting the figures and calculating the summary statistics that appear in the paper.

openOpenApr 1994View details →

Soil Moisture taken with a neutron probe 1969-1974 from 11 sites: Weekly

These original basic fertilization experiments were started to give preliminary information for designing future experiments and to study basic long term fertilization responses in a range of age classes for the dominant forest types of interior Alaska. In addition, the instrumentation of the control plots provide long term information on various environmental parameters. No fertilization or growth measurements were done in the black spruce stands.

openOpenNov 2006View details →

Vegetation cover: Wickersham fire sites (at the Viereck thaw probe locations), 1977-2004

In June of 1971, the Wickersham fire burned 6313 ha in an open black spruce forest underlain with permafrost and provided an opportunity to study fire and fireline effects on the rate and patterns of permafrost, soil, and vegetation recovery. When wildfire burns through a northern black spruce forest the degree of soil organic layer consumption greatly influences the post-fire community characteristics. The construction of firelines with heavy machinery involves the complete removal of vegetation and the soil organic layer down to mineral soil and likewise affects the community characteristics after fire and fire suppression. This long-term study is a comparison between the vegetative communities of firelines, burned, and unburned open black spruce forests underlain by ice rich permafrost. Vegetation percent cover for all species were measured in the fireline, burned, and unburned control sites on the east side of Cushman Creek of the Wickersham Fire Sites, as well as the fireline on the west side of Cushman Creek. This dataset largely focuses on the vegetation of the three east side sites (2004, 2012, and 2130) to corroborate the detailed studies of active layer depths and fireline surface level changes previously published (Viereck, 1982; also see datasets in related material section) and in preparation.>

openOpenNov 2006View details →

Tree heights and diameters: Wickersham fire sites (at the Viereck thaw probe locations), 1995 and 2004

In June of 1971, the Wickersham fire burned 6313 ha in an open black spruce forest underlain with permafrost and provided an opportunity to study fire and fireline effects on the rate and patterns of permafrost, soil, and vegetation recovery. When wildfire burns through a northern black spruce forest the degree of soil organic layer consumption greatly influences the post-fire community characteristics. The construction of firelines with heavy machinery involves the complete removal of vegetation and the soil organic layer down to mineral soil and likewise affects the community characteristics after fire and fire suppression. This long-term study is part of a comparison between the vegetative communities of firelines, burned, and unburned open black spruce forests underlain by ice rich permafrost. In this study, tree diameters and heights were measured in an unburned control plot and in a heavily burned plot. There were no trees to measure in the fireline plot. Tree heights and diameters at breast height were measured for tree species in the heavily burned and unburned control sites on the east side of Cushman Creek of the Wickersham Fire Sites. This dataset focuses on the trees of the east side sites (2004 and 2130) to corroborate the detailed studies of active layer depths and fireline surface level changes previously published (Viereck, 1982; also see datasets in related material section) and in preparation.

openCustomJan 2020View details →

Probing the mechanisms by which sub-canopy evergreen shrubs inhibit tree seedling recruitment at the Coweeta Hydrologic Laboratory from 1999 to 2003

Two hundred 2x2 meter plots along transects and traversing 3 understory conditions; rhododendron, kalmia, open. Light conditions will be assessed for each plot and the extreme 50% will be used for experimentation. All plots will be planted to a combination of northern red oak, chestnut oak, red maple, and pitch pine. Inoculated (with mychorrizae) and non-inoculated seedlings will be planted in the plots. Relationships between performance and mychorrizal infection will be determined.

opencc-by-4.0Dec 2019View details →

Atom probe tomography data collection from DIN 1.4970 (15-15Ti) austenitic stainless steel irradiated with Fe ions

This dataset comprises a large collection of atom probe tomography datasets collected from DIN 1.4970 alloy that was irradiated with Fe ions at different conditions. The DIN 1.4970 alloy is an austenitic stainless steel with 15 wt% Cr, 15 wt% Ni, a small addition of Ti. The full composition and characterization of our material can be found published elsewhere [1,2]. Some of our material was subjected to ageing heat treatments at different temperatures for different times. Small samples of our original material and aged material was irradiated at the Michigan Ion Beam Laboratory in 2017 with 4.5 MeV Fe ions up to 40 dpa at an average dose rate of \(2 \times 10^{-4}\) dpa/s. This was done at three different temperatures: 300, 450, and 600 ºC. Atom probe samples were made of the irradiated layers (approximately 1.5 micron deep) with focused ion beam and mounted on Microtip coupons. APT measurements took place on three CAMECA LEAP-HR systems located at CAES in Idaho Falls, USA (files beginning with R33), at Montanuniversität Leoben in Leoben, Austria (R21) and at Friedrich–Alexander University in Erlangen, Germany (R56). The contents of this archive are: <ul> <li>A folder containing the raw RHIT files</li> <li>A folder containing all the reconstructions and miscelaneous analysis files made by the author</li> <li>An excel file which indicates which measurement number stands for what material</li> <li>A suggested range file</li> </ul> The RHIT files can only be used if one has access to the full IVAS 3.x version in order to make new reconstructions. The reconstructions and analysis folder can be useful to anyone. The folder buildup structure is similar to a project folder created by IVAS and should be directly importable into IVAS. Most folders are simply named after the RHIT file they were constructed from, though some have slightly modified names to include date of creation, extra information,... Inside all these folders you will find the recons folder and inside multiple reconstructions. At the deepest level you will find .pos files which can be read into free software such as python or <a href="http://threedepict.sourceforge.net/">3depict</a>. The range file that will give decent results on all these measurements is given at the top level; slight modifications may need to be applied for each measurement. Inside all folders you will also find numerous files (csv, png, jpg, ...) that were created by analyzing the data in IVAS. Sometimes the file names are very descriptive, sometimes less so. Sometimes these files were not saved to the default analysis folder but elsewhere on my drive. To be complete, I have moved all of these files into the top level folder. Therefore, besides the imagoAnalysis and recons folders, you will sometimes find additional folders and files in the folder. By different merging procedures, there may be multiple copies of the same files present as well. Unfortunately, the reconstructions and analysis folder is rather chaotic, as is the nature of file creation by IVAS. It is most instructive to start with the excel file at the top level of the archive. The first sheet contains some information, mostly the same as mentioned here. The second sheet pertains to the ion irradiations that were performed. The table colunms are self explanatory. Each irradiated sample was given a particular alias (first column), which relates it to the slot in the storage box in which it is stored. 5 different materials appear in the irradiations: <ul> <li>T24 = tube, 24% cold worked. This represents the material as it was received from the manufacturer.</li> <li>T24-800C2h = the as-received material with an ageing heat treatment of 2 hours for 800 ºC applied.</li> <li>T24-600C4h = the as-received material with an ageing heat treatment of 4 hours for 600 ºC applied.</li> <li>T24-600C2868h = the as-received material with an ageing heat treatment of 2868 hours for 600 ºC applied.</li> <li>T46 = tube 46% cold worked. This represents another material received from the manufacturer</li> <li>AIM1 = another related material with a higher P and Si content obtained from another research institute</li> </ul> All these materials were irradiated under different conditions as given in the subsequent columns. The irradiation parameters were drawn directly from reports produced by the lab, but we suspect some typos slipped into the reports. We do know for certain that the samples were irradiated up to a surface dose of 40 dpa, at least according to a <a href="http://www.srim.org/">SRIM calculation</a> with the K-P model. Atom probe results only pertain to T24 and T24-800C2h. A few measurements were conducted on T24-600C4h material but this material was not irradiated. The last sheet gives an overview of all the APT measurements included in this archive. The first column pertains to the sample alias in sheet 2: the irradiated disc from which the samples were made. The sample detail column details the history of the sample for convenience: T24 - <heat treatment conditions> - <irradiation conditions>. When in doubt, one can look up the sample alias in sheet 2. The filename pertains to the APT measurement RHIT file. For the 3 measurements performed in Leoben, RHIT files are not included in this archive. Finally a few details such as approximate ion count and some comments are included for some measurements. Funding: This work was supported by ENGIE [contract number 2015-AC-007 e BSUEZ6900]; the U.S. Department of Energy, Office of Nuclear Energy under DOE Idaho Operations Office Contract DE-AC07- 051D14517 as part of a Nuclear Science User Facilities experiment; and by the MYRRHA program in development at SCK-CEN, Belgium. Funding of the Austrian BMVIT (846933) in the framework of the program "Production of the future" and the "BMVIT Professorship for Industry" is gratefully acknowledged.   <a href="https://www.sciencedirect.com/science/article/pii/S0022311518300485">[1] N. Cautaerts, R. Delville, E. Stergar, D. Schryvers, M. Verwerft, Tailoring the Ti-C Nanoprecipitate Population and Microstructure of Titanium Stabilized Austenitic Steels, J. Nucl. Mater. 507 (2018) 177–187. doi:10.1016/j.jnucmat.2018.04.041.</a>   <a href="https://www.sciencedirect.com/science/article/pii/S1359645418308103">[2] N. Cautaerts, R. Delville, E. Stergar, D. Schryvers, M. Verwerft, Characterization of (Ti,Mo,Cr)C Nanoprecipitates in an Austenitic Stainless Steel on the Atomic Scale, Acta Mater. 164 (2018) 90–98. doi:10.1016/J.ACTAMAT.2018.10.018.</a>

opencc-by-4.0Jul 2020View details →

Probe requests of 24 devices in a semianechoic chamber

This dataset was created collecting probe requests generated by 24 devices inside a semianechoic chamber. The scanning duration is around 22 minutes and for each probe request acquired, several details are reported: - MAC ADDRESS: for privacy reasons the id annotated in mac column is the result of hashing with SHA256 algorithm on the original mac address - SEQ: the sequence number of the probe request - TIME:  is the unixtime of istant when the probe request where collected - ID_X: for each column, the X value indicates the information element ID and its value represents the length for that field - OUI: indicates the Organizationally Unique Identifier directly from the original mac address - VENDOR: contains the vendor extracted from the original OUI.

opencc-by-4.0Jul 2020View details →

Data and code for "Probing the current-phase relation of graphene Josephson junctions using microwave measurements"

Data and code for "Probing the current-phase relation of graphene Josephson junctions using microwave measurements"

opencc-by-4.0Oct 2020View details →

Seawater temperature profiles from Expendable Bathythermograph (XBT) probe deployments during the Antarctic Circumnavigation Expedition (ACE)

Dataset abstract This data set contains vertical seawater temperature profiles measured by Expendable Bathythermograph (XBT) probes that were deployed in the Southern Ocean during the Antarctic Circumnavigation Expedition (ACE) on board the R/V Akademik Tryoshnikov. 40 XBT probes were deployed during legs 2 and 3 of the expedition in the period 25th January, 2017 to 17th March, 2017. The XBT probes are manufactured and distributed by T.S.K./Sippican Tsurumi-Seiki Co. Ltd., Yokohama, Japan (http://www.tsk-jp.com) and are of the type T-07, which is rated at a ship speed of up to 15 knots. These probes have a measuring time of 123 seconds and maximum measurement depth of about 789 m. Probes were launched from a handheld device from the stern of the ship either on the port or starboard side while the ship was moving. The deck unit recorded the temperature and the time since the probe was launched. This time was then converted to depth using the known fall rate of the probe in seawater and the coefficients provided by the manufacturer (WMO standards; Hanawa et al., 1995). The profiles were corrected for known surface biases (Kizu and Hanawa, 2002; Uehara et al., 2008). We provide the raw data, the data produced by using the coefficients provided by the manufacturer, and a corrected version in which we apply an empirical correction based on a comparison with CTD data (Henry et al., 2019), where XBT profiles were launched alongside the CTD deployment. The data has been quality controlled by comparing it to a number of CTD profiles. Data is provided at full vertical resolution and a 1-m averaged resolution. In addition, we provide derived variables such as surface mixed layer depth (temperature threshold) estimates. We are grateful to the crew of the R/V Akademik Tryoshnikov and AARI for donating these probes to our project. Their use-by date had expired, however this was not seen as an issue. This data set provides insights into the hydrography of the Southern Ocean during one austral summer season and complements the CTD temperature profiles measured during ACE by filling in the gaps between CTD stations. Dataset contents Data: <ul> <li>ace_xbt_raw/ace_xbt_YYYYMMDD_xxxx_uuuuuuuuuuuu.RAW, data file, comma-separated values</li> <li>ace_xbt_wmo_hanawa95_fullres/ace_xbt_YYYYMMDD_xxxx_uuuuuuuuuuuu.XBT, data file, comma-separated values</li> <li>ace_xbt_wmo_hanawa95_1m/ace_xbt_YYYYMMDD_xxxx_uuuuuuuuuuuu_1m.XBT, data file, comma-separated values</li> <li>ace_xbt_corrected_fullres/ace_xbt_YYYYMMDD_xxxx_uuuuuuuuuuuu.XBT, data file, comma-separated values</li> <li>ace_xbt_corrected_1m/ace_xbt_YYYYMMDD_xxxx_uuuuuuuuuuuu_1m.XBT, data file, comma-separated values</li> </ul> Auxiliary data: <ul> <li>ace_xbt_mld_tavg.csv, data file, comma-separated values</li> <li>ace_merged_ctd_xbt_mld_tsavg.csv, data file, comma-separated values</li> </ul> Figures: <ul> <li>figure1.pdf, metadata, portable document format</li> <li>ace_xbt_figures/ace_xbt_YYYYMMDD_xxxx_1m.pdf, metadata, portable document format</li> </ul> Metadata: <ul> <li>ace_xbt_deployment_summary.csv, metadata, comma-separated values</li> <li>data_file_header.txt, metadata, text</li> <li>README.txt, metadata, text</li> </ul> Dataset license This seawater temperature profile dataset from ACE is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full text can be found at https://creativecommons.org/licenses/by/4.0/

opencc-by-4.0Nov 2020View details →

Replication Data for: "Parabolic Diamond Scanning Probes for Single-Spin Magnetic Field Imaging

Data repository for: Parabolic Diamond Scanning Probes for Single-Spin Magnetic Field Imaging <ul> <li>DataDescription.pdf: describes the uploaded data</li> <li>Data (folder): folder containing data.xlsx, which summarizes all the data plotted in the paper as well as additional imaging and simulation data sets</li> <li>Code (folder):  contains Matlab code for converting and plotting certain data sets</li> </ul>

dryad40/100

A two-tier bioinformatic pipeline to develop probes for target capture of nuclear loci with applications in Melastomataceae

Premise of the study: Putatively single-copy nuclear (SCN) loci, identified using genomic resources of closely related species, are ideal for phylogenomic inference. However, suitable genomic resources are not available for many clades, including Melastomataceae. We introduce a versatile approach to identify SCN loci for clades with few genomic resources and use it to develop probes for target enrichment in the distantly related Memecylon and Tibouchina (Melastomataceae). Methods: We present a two-tiered pipeline. First, we identified putatively SCN loci using MarkerMiner and transcriptomes from distantly related species in Melastomataceae. Published loci and genes of functional significance were added (384 total loci). Second, using HybPiper, we retrieved 689 homologous template sequences for these loci using genome-skimming data from within the focal clades. Results: We sequenced 193 loci from both Memecylon and Tibouchina, with probes designed from 56 template sequences successfully targeting sequences in both clades. Probes designed from genome-skimming data within a focal clade were more successful than probes designed from other sources. Discussion: Our pipeline successfully identified and targeted SCN loci in Memecylon and Tibouchina, enabling phylogenomic studies in both clades and potentially across Melastomataceae. This pipeline could be easily applied to other clades with few genomic resources.

opencc-zeroJan 2021View details →

opencc-by-4.0Nov 2020View details →

Data for "Sub-7-femtosecond conical-intersection dynamics probed at the carbon K-edge"

Data sets underlying Figs. 1-4, and S1-S6, S8-S20 of the paper entitled "Sub-7-femtosecond conical-intersection dynamics probed at the carbon K-edge".

opencc-by-4.0Jan 2017View details →

Research data supporting "Probing amylin fibrillation at an early stage via a tetracysteine-recognising fluorophore"

Research data supporting the publication: Wang S. et al., 2017, Talanta, DOI: 10.1016/j.talanta.2017.05.015