Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
95
datasets available to search
ShareScore release 0.9.0
Dataset results
95 results for “Time Domain”
Fig. 16 in Quaternary time scales for the Pontocaspian domain: Interbasinal connectivity and faunal evolution
Fig. 16. Dramatic water level changes in the Pontocaspian domain. Left: Monthly mean Caspian Sea level (CSL) changes observed by tide gauges (1940–1997) and satellite altimetry (1997 to 2015) from Chen et al. (2017). Right: Recent shrinking of the Aral Lake, comparison of satallite images from 1987 (USGS) and 2008 (NASA).
Fig. 15. The 87 in Quaternary time scales for the Pontocaspian domain: Interbasinal connectivity and faunal evolution
Fig. 15. The 87Sr/86Sr and δ18O data from the Black Sea (blue) and Caspian Sea (red) for different time slices (A - D). Different symbols represent different archives; ostracods (boxes), mollusc (triangles), speleothem (circles). The 87Sr/86Sr of the global ocean is obtained from McArthur et al. (2012), for the Black Sea is obtained from Major et al. (2006) and Wegwerth et al. (2014), for the Caspian Sea obtained from Page (2004) and Van Baak (2015). The global benthic δ18O is obtained from Lisiecki and Raymo (2005), for the Black Sea is obtained from Bahr et al. (2006), Major et al. (2006) and the δ18O of the Sofular Cave is obtained from Badertscher et al. (2011).
Fig. 9 in Quaternary time scales for the Pontocaspian domain: Interbasinal connectivity and faunal evolution
Fig. 9. Stratigraphic framework for middle-late Quaternary marine and Pontocaspian intervals in the Marmara Basin and surroundings. The Sofular isotope record is from Badertscher et al. (2011). Blue: Pontocaspian intervals, Red: marine intervals. IL = Iznik Lake. Gateways: (I) Bosphorus, (II) Dardanelles, (III) Sapanca corridor and (IV) Iznik corridor.
Fig. 11 in Quaternary time scales for the Pontocaspian domain: Interbasinal connectivity and faunal evolution
Fig. 11. Dmanisi fauna, selected specimens. Top row from left to right: Homotherium crenatidens, skull, Dm.5/154.A1/87; Megantereon whitei, skull, D1341; Panthera onca georgica, mandible dex., D2027, holotype; Lynx issiodorensis, skull, D3497; Pachycrocuta brevirostris, juvenile mandible dex., Dm.65/ 63.B1x.153; Canis etruscus, skull with mandible, D3420. Second row from left to right: Mammuthus meridionalis taribanensis, articulated hind leg fragment, Dm.64/68.B1x.338; Stephanorhinus etruscus, skull, D3270; Equus stenonis, skull, D353. Third row from left to right: Palaeotragus priasovicus, metatarsus fragment dex., D1757; Cervalces cf. gallicus, antler fragment dex., D1949; Arvernoceros insolitus, antler dex., D2747, holotype; Praemegaceros obscurus, antler fragment dex., D430; Pseudodama nestii, antler sin., D1495. Fourth row from left to right: Bison (Eobison) georgicus, skull fragment, D354, holotype; Gallogoral meneghini sickenbergii, skull, Dm.4/ 154.B1.79; Capra dalii, horn core dex., D75, holotype; Pontoceros surprine, skull fragment D5552, holotype.
Fig. 1 in Quaternary time scales for the Pontocaspian domain: Interbasinal connectivity and faunal evolution
Fig. 1. Ancient map of the Pontocaspian region after Kircher (1678), who in his "Mundus Subterraneus" already envisaged that the Caspian Basin must have been connected to the open ocean to explain its relatively high salinity (> 10 ‰) today. The Caspian Sea is in fact an isolated long-lived lake since at least 2.6 Ma. Kircher considered a subterraneous channel to the Persian Gulf for the marine connection. The location of this marine connection is still enigmatic today.
Simulation data and code used for the publication in Magn. Reson. "Time-domain proton-detected local-field NMR for molecular structure determination in complex lipid membranes"
<p>Simulation data used in the publication Magn. Reson. "Time-domain proton-detected local-field NMR for molecular structure determination in complex lipid membranes". The simulation data set, and the code developed to generate such data, are included. Details in the published paper </p>
Crystallinity and perfection in ethylene vitrimers probed by combined calorimetry, scattering, and time-domain NMR
<p>This Dataset comprises the raw data contained in the figures of our journal article in <em>Frontiers in Soft Matter </em>(DOI: 10.3389/frsfm.2023.1208777)<em>. </em>We provide a preprint of the article for reference to the figures and their captions, necessary to use the data. For copyright details and licensing we refer to the original article and the publisher. Here is the abstract of the article:</p> <p>The kinetics of crystallization and crystal-crystal transformations in ethylene vitrimers are studied by time-domain NMR. These vitrimers previously exhibited polymorphic transition of crystal structures, which are shown here to be distinguishable by NMR via their dipolar line widths based upon different proton densities and fast internal motions. The conditions under which the polymorphs are formed and interconvert are identified via time-resolved NMR experiments, with a focus on recrystallization after full and partial melting. DSC experiments are used to clarify an unexpected superheating effect, which challenges the determination of actual melting points. We further identify a strong memory effect in isothermal (re)crystallization. Implications of the dynamic nature of the vitrimers in relation to the kinetics of crystallization are discussed. We find that internal perfecting of crystals, enabled by the vitrimeric exchange process, can have a large effect on the DSC-detected melting enthalpy without change in overall crystallinity.</p>
Time domain reflectometry soil moisture data for Niwot Ridge, 1992 - 2002.
Soil moisture was estimated at several locations on Niwot Ridge using a portable PC in conjunction with time-domain reflectometry (TDR) technology. The system used consisted of a Tektronics 1502B reflectometer, a Tektronics SP232 interface module, a Compaq LTE/232 PC, coaxial cable, and a probe that was left semi-permanently in the soil. The reflectometer generated an electrical step voltage pulse which was propagated down the cable to the probe. The reflected voltage waveform was measured, stored, and displayed by the reflectometer and the Tektronics SP232 interface module. The waveform is represented as a 2-dimensional data array, with the x-axis representing time (which is converted to distance using the dielectric constant of the cable) and the y-axis representing voltage for the given time: in this system this value is represented in millirho units (Tektronics 1991). The length of the waveform is determined by measuring the difference between the soil air interface (SAI) and the end of the voltage step reflection (RE). The SAI value is equivalent to the apex of the first peak in the wave and the RE value is equivalent to the intersection of tangents "drawn" at (a) the bottom of the wave and (b) the point of the steepest rise (see Taylor and Seastedt 1992). The waveform length is then used to estimate the volumetric and gravimetric moisture of the surrounding soil.
Time Domain Reflectometry at the Sevilleta National Wildlife Refuge, New Mexico (1996-2005)
This file contains hourly time-domain reflectometry (TDR) soil moisture data for 1996-2005. A key factor in a spatially explicit water-balance model is a measure of moisture in the soils over time. This metric is crucial for both calibration and validation of such a model. One of the best methods of measuring soil moisture on a continuous basis is TDR. Therefore, a network of TDR soil moisture sensors was installed at all meteorological stations on the Sevilleta National Wildlife Refuge. At two of the sites the sensors were measured on an hourly basis in conjunction with the meteorological variables. At the four other sites the sensors were measured on a much less frequent basis - about every two weeks. Sensors were installed in pits in sets of five. One sensor was installed vertically adjacent to the pit to measure the top 30 cm of soil. The other four were installed horizontally in the face of the pit at 5, 10, 20, and 40 cm. Pits were then backfilled.
Supplementary Material for "Time-domain modelling of 3-D Earth's and planetary electromagnetic induction effect in ground and satellite observations"
<p>1. Magnetic field residuals from Observatory and Swarm data. Details about data origin and pre-processing are given in the main paper.</p> <p>2. Time series of external Spherical Harmonic coefficients estimated from observatory and satellite data as described in the main paper.</p>
Data for the article "Ultrafast spin-currents and charge conversion at 3d-5d interfaces probed by time-domain terahertz spectroscopy"
<p>Data for the article "Ultrafast spin-currents and charge conversion at 3d-5d interfaces probed by time-domain terahertz spectroscopy" (<a href="https://aip.scitation.org/doi/10.1063/5.0022369">Ultrafast spin-currents and charge conversion at 3d-5d interfaces probed by time-domain terahertz spectroscopy: Applied Physics Reviews: Vol 7, No 4 (scitation.org)</a> and <a href="https://arxiv.org/abs/2012.06900">[2012.06900] Ultrafast spin-currents and charge conversion at 3d-5d interfaces probed by time-domain terahertz spectroscopy (arxiv.org)</a> )</p>
Dataset of "Optical Signatures of Thermal Damage on ex-vivo Brain, Lung and Heart Tissues using Time-Domain Diffuse Optical Spectroscopy"
<p>Dataset for the article entitled "Optical Signatures of Thermal Damage on ex-vivo Brain, Lung and Heart Tissues using Time-Domain Diffuse Optical Spectroscopy" </p> <p> </p> <p>Abstract:</p> <p> </p> <p>Thermal Therapies treat tumors by means of heat, greatly reducing pain, post-operation complications, and cost as compared to traditional methods. Yet, effective tools to avoid under- or over-treatment are mostly needed, to guide surgeons in laparoscopic interventions.<br>In this work, we investigated the temperature-dependent optical signatures of ex-vivo calf brain, lung, and heart tissues, based on the reduced scattering and absorption coefficients in the near-infrared spectral range (657 to 1107 nm). These spectra were measured by time domain diffuse optics, applying a step-like spatially homogeneous thermal treatment at 43 °C, 60 °C, and 80 °C.<br>We found three main increases in scattering spectra, possibly due to the denaturation of collagen, myosin, and proteins secondary structure.<br>After 75 °C, we found the rise of two new peaks at 770 and 830 nm in the absorption spectra due to the formation of a new chromophore, possibly related to hemoglobin or myoglobin.<br>This research marks a significant step forward in controlling thermal therapies with diffuse optical techniques by identifying several key markers of thermal damage. This could enhance the ability to monitor and adjust treatment in real-time, promising improved outcomes in tumor therapy.</p> <p> </p> <p> </p> <p>Authors:</p> <p>ALESSANDRO BOSSI , LEONARDO BIANCHI , PAOLA SACCOMANDI , AND ANTONIO PIFFERI<br>Politecnico di Milano</p> <p> </p> <p> </p> <p><a href="https://opg.optica.org/boe/fulltext.cfm?uri=boe-15-4-2481&id=548108" target="_blank" rel="noopener">Link to the article</a></p>
Raw data and scripts for "The Period-Modulated Harmonic Locked Loop (PM-HLL): A low-effort algorithm for rapid time-domain multi-periodicity estimation"
<p>This package contains all required scripts to generate the simulations and figures from the study "The Period-Modulated Harmonic Locked Loop (PM-HLL): A low-effort algorithm for rapid time-domain multi-periodicity estimation" by Volker Hohmann, published in Acta Acustica:</p> <p>The Period-Modulated Harmonic Locked Loop (PM-HLL): A low-effort algorithm for rapid time-domain multi-periodicity estimation<br>Volker Hohmann<br>Acta Acust. 5 56 (2021)<br>DOI: 10.1051/aacus/2021050</p> <p>When referring to this work, please cite the journal paper.</p> <p>Note that additive noise is generated at random, i.e., small differences in the estimation accuracy occur when repeating a simulation. For further details see the journal paper.</p> <p>Thank you for downloading the package. Your comments are very welcome!</p> <p>Method patented: DE Patent DE102021207339B3</p> <p>Author: Volker Hohmann, Carl von Ossietzky Universität Oldenburg, Germany</p>
Investigation of the Hydration Behavior of Different Sugars by Time Domain‐NMR
<p>Tables containing characterization data of hydration behavior of different sugars by various complementary methods (Spin-Spin Relaxation Times (T<sub>2</sub>), Self-Diffusion Coefficient and Use of Magic Sandwich Echo (MSE) Sequence for Crystallinity Measurements)</p>
The conductivity profile of Earth-ionosphere cavity used in the paper "Finite-difference time-domain analysis of ELF radio wave propagation in the spherical Earth-ionosphere waveguide and its validation based on analytical solutions" by Volodymyr Marchenko, Andrzej Kulak, Janusz Mlynarczyk
<p>The file "Marchenko_FDTD_Paper_Conductivity_Profile.dat" contains the conductivity profile of Earth-ionosphere cavity. The first column provides the altitude (in km) and the second column provides the conductivity (in S/m).</p>
Taking up and terminating leisure-time physical activity over the life course: The role of life events in the familial and occupational life domains
<p>Dataset used for the analyses in the following publication:</p> <p>Lenze, L., Klostermann, C., Lamprecht, M. & Nagel, S. (2021). Taking up and terminating leisure-time physical activity over the life course: The role of life events in the familial and occupational life domains. <em>International Journal of Environmental Research and Public Health</em>, <em>18</em>, 9809. https://doi.org/10.3390/ijerph18189809</p>
Discontinuous Galerkin time-domain method for the computation of electromagnetic resonant modes
<p>Data generated for the paper "The application of a high-order discontinuous Galerkin time-domain method for the computation of electromagnetic resonant modes" published in Applied Mathematical Modelling. It includes:</p> <ul> <li>Meshes</li> <li>Time domain signals</li> <li>Spectra</li> <li>Figures</li> </ul>
Monitoring of neoadjuvant chemotherapy through time domain diffuse optics: Breast tissue composition changes and collagen discriminative potential
<p>This dataset serves as a comprehensive resource containing the raw data, analyses, and various tools utilized to produce the findings that are presented in our paper titled ‘<strong>Monitoring of neoadjuvant chemotherapy through time domain diffuse optics: breast tissue composition changes and collagen discriminative potential</strong>’. </p> <p>The aim of this clinical study is to test broad spectral range (635-1060 nm) time domain diffuse optical spectroscopy to monitor the response of breast cancer patients to neoadjuvant chemotherapy. Preliminary results from patients on changes in hemoglobin, water, lipids, collagen concentrations, and scattering parameters due to the therapy are presented. In these initial results, we hypothesize that collagen could be a possible biomarker to distinguish complete and partial responders.</p>
Weights for calculation of magnetic field at INTERMAGNET observatories for 3-D conductivity model of the Earth in the time domain
<p>Weights are calculated with time step of 1 hour and memory of 4320 hours for two cases.</p> <ol> <li>The source is parametrized by spherical harmonics up to degree 4 (<a href="../api/records/12802448/draft/files/MB_SHS_modes_up_to_24_at_obs.h5/content" target="_blank" rel="noopener noreferrer">MB_SHS_modes_up_to_24_at_obs.h5</a> )</li> <li>The source is parametrized by so-called periodic modes, obtained from the output of TIEGCM (<a href="../api/records/12802448/draft/files/MB_periodic_modes_16_24_at_obs.h5/content" target="_blank" rel="noopener noreferrer">MB_periodic_modes_16_24_at_obs.h5)</a></li> </ol> <p>The detailed desciption of the weights meaning and calculation can be found in Kruglyakov & Kuvshinov, 2024.</p> <ul> <li>Datasets M_B_r stand for radial (upward) component of the magnetic field at the ground;</li> <li>Datasets M_B_theta stand for southward component of the magnetic field at the ground;</li> <li>Datasets M_B_phi stand for eastward component of the magnetic field at the ground;</li> <li>Datasets Theta stand for the co-latitudes of the observatories in the geo-centric cooridnate system</li> <li>Datasets Phi stand for the longitudes of the observatories in the geo-centric cooridnate system</li> </ul> <p> </p>
Non-Conventional Time Domain (TD)-NMR Approaches for Food Quality: Case of Gelatin-Based Candies as a Model Food
<p>The TD-NMR technique mostly involves the use of T1 (spin-lattice) and T2 (spin-spin)<br> relaxation times to explain the changes occurring in food systems. However, these relaxation times<br> are affected by many factors and might not always be the best indicators to work with in food related<br> TD-NMR studies. In this study, the non-conventional TD-NMR approaches of Solid Echo<br> (SE)/Magic Sandwich Echo (MSE) and Spin Diffusion in food systems were used for the first time. Soft<br> confectionary gelatin gels were formulated and conventional (T1) and non-conventional (SE, MSE and<br> Spin Diffusion) TD-NMR experiments were performed. Corn syrups with different glucose/fructose<br> compositions were used to prepare the soft candies. Hardness, °Brix (°Bx), and water activity (aw)<br> measurements were also conducted complementary to NMR experiments. Relaxation times changed<br> (p < 0.05) with respect to syrup type with no obvious trend. SE/MSE experiments were performed to<br> calculate the crystallinity of the samples. Samples prepared with fructose had the lowest crystallinity<br> values (p < 0.05). Spin Diffusion experiments were performed by using Goldman–Shen pulse sequence<br> and the interface thickness (d) was calculated. Interface thickness values showed a wide range of<br> variation (p < 0.05). Results showed that non-conventional NMR approaches had a high potential to be<br> utilized in food systems for quality control purposes.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.