Find research datasets worth reusing

Figure 14 in Morphological, optical and thermal properties of α- and γ-aluminum nanoparticles: Assessment of their biological activities against storage mites and mycotoxin producing fungi

Figure 14. Mean growth Inhibition (A) and corresponding percentage (B), of F. oxysporum in response to different concentrations of α and γ-Al2O3 NPs after 5 days of growth at 30 °C and 180 rpm in PDB growth medium (Where R2: the relation coefficient and y: the predicted fungal inhibition value at "X" nanoparticles concentration).

Figure 6 in Morphological, optical and thermal properties of α- and γ-aluminum nanoparticles: Assessment of their biological activities against storage mites and mycotoxin producing fungi

Figure 6. Mortality (means ± SE) of M. fungivorus females, nymphs and larvae, concerning α- and γ-Al2O3 NPs at tested concentrations and exposure time.

Figure 10 in Morphological, optical and thermal properties of α- and γ-aluminum nanoparticles: Assessment of their biological activities against storage mites and mycotoxin producing fungi

Figure 10. Females' mortality (means ± SE) of (A) M. fungivorus and (B) C. mycophagus mites subjected to synthesized α and γ-Al2O3 NPs at different concentrations and exposure time. different letters within the same concentrations are significantly different, Duncan test (P ≤ 0.05).

Figure 13 in Morphological, optical and thermal properties of α- and γ-aluminum nanoparticles: Assessment of their biological activities against storage mites and mycotoxin producing fungi

Figure 13. Mean growth Inhibition (A) and corresponding percentage (B) of Aspergillus flavus in response to different concentrations of α- and γ-AL2O3 NPs after five days of growth at 30 ℃ and 180 rpm in PDB growth medium. (Where R2: the relation coefficient and y: the predicted fungal inhibition value at "X" nanoparticles concentration).

opencc-by-4.0Feb 2018View details →

Ultrafast optical ranging using microresonator soliton frequency combs: Data deposit

This content of this data deposit is the following: <ul> <li>Archive ‘Microresonator design file’: A GDS-File with the design of the microresonators</li> <li>Archive ‘Figure_data’: Data shown in all figures with MATLAB scripts for exemplary plot generation.</li> <li>Archives ‘Figure2D’, ‘Figure2E’, ‘Figure3B’ and ‘Figure3D’: Raw data and executable files related to figures 2D, 2E, 3B and 3D of the publication</li> </ul> Further information on the archive ‘Microresonator design file’: A free GDS viewer can be downloaded from: https://www.klayout.de. The designed Si3N4 height was 800 nm. Further information on the archives ‘Figure2D’, ‘Figure2E’, ‘Figure3B’ and ‘Figure3D’: Each archive contains two folders, corresponding to two evaluation steps executed to evaluate raw measurement data. In the first step, raw data is processed into distance information. For this purpose, the folder ‘Distance_evaluation’ in each archive contains the raw data recorded in the experiments, as well as an executable file in order to process the raw data into distance data files. In the second step, distance data files are further processed according to the respective measurement, e.g. the computation of the Allan deviation in Fig. 2D. For this purpose, further executable files are available in the other folder in each archive. The required distance files are already copied into these folders, but can also be computed again and copy-pasted into the respective folder. The final output will be txt-files with data such as the data shown in the figures. Instructions on running the executable files: All executable files require Matlab Runtime version R2017a, see in each folder the readme.txt-file for further instructions. In order to process the raw data, do not rename the files and do not change the folder, within which the raw data is located. Otherwise, the executable file may not work. Likewise, do not rename any distance-files that are used for further evaluation as well as the other input files that are required for further evaluations: <ul> <li>Figure3B\Profile_Comparison: ‘xCMM.txt’, ‘yCMM.txt’</li> <li>Figure3D\OCT_Comparison: ‘OCTX.txt’, ‘OCTY.txt’</li> </ul> Note, that some of the executable files make use of parallel computing. Depending on the CPU available and the amount of data to be processed, the evaluation duration can vary between a few minutes and several hours. Information on the raw data files: The raw data of all distance measurements are .h5 files recorded using a high-speed oscilloscope with a sample rate of 80 GSa/s. For each measurement, two recordings are stored, one for the actual distance measurement, and one for the reference measurement (indicated by either ‘MES’ or ‘REF’ at the end of the file name). An h5-viewer (see e.g. https://www.hdfgroup.org/downloads/hdfview/) is recommended in order to look directly into the raw data. Information on the distance data files: The output of each distance evaluation is another h5-file, containing an n × 6  matrix, with n being the number of distance values. <ul> <li>The first column represents the actual distance value,</li> <li>The second column the time,</li> <li>The third column the quantity εN as defined in Eq. (S13) in the Supplementary Materials,</li> <li>The fourth and the fifth column the intensity of the signal received from the oscilloscope for the signal and the reference channel (scales are not the same),</li> <li>And the last column the recorded free spectral range of the measurement comb.</li> </ul> Again, the files are directly accessible by using an h5-viewer.

opencc-by-4.0Mar 2018View details →

Optimal modes for wavefront sensorless adaptive optics. Turbulence- and oocyte-induced phase screens and Mathematica notebooks.

This notebook and phase screens constitute a numerical experiment to calculate the error of the wavefront approximation using first N modes of the  a) Zernike and b) Lukosz-Braat polynomials, c) SVD modes obtained with respect to the gradient-dot product, and the d) eigenfunctions of the Laplace operator with the Neumann boundary conditions. It's a complementary material to a paper submitted to Optics Express.

opencc-by-nc-nd-4.0Nov 2018View details →

Mocap gait motion samples - Optical marker trajectories

======================= Summary ======================= This database gathers a set of optical marker-based motion capture (mocap) tracking samples. Each sample corresponds to a single acquisition containing the 3D trajectories of a set of markers along a continuous interval of time. Keywords: Motion capture, mocap, Gait analysis, marker tracking. ======================= Data description ======================= Several persons wearing small reflective balls (markers) were asked to walk normally while recorded using motion capture cameras. These cameras, previously calibrated, are thought to detect the 2D pixel image position of the markers against the background thanks to IR lightning they are provided with. The XYZ position can be afterwards recovered by means of photogrammetric methods, whereas the tracking is kept across the frames. This data set contains the raw 3D trajectories of the aforementioned markers along the time. The set of markers is the layout proposed by Kadaba, Ramakrishnan, and Wootten, from the Helen Hayes Hospital. More details can be found in 'Dynamics of Human Gait' from Vaughan et al. Check out 'HH_marker_arrangement.png' for a visual description on marker placement. This database was built on purpose to serve as ground truth for the doctoral research "Cloud Point Labeling in Optical Motion Capture Systems", written by Juan L. Jiménez B. and supervised by Prof. Manuel Graña, from the Computational Intelligence Group, University of the Basque Country (UPV/EHU), and expected to be presented by the beginning of 2019. This work has been partially supported by the EC through project CybSPEED funded by the H2020 MSCA-RISE grant agreement Num. 777720. ======================= Equipment ======================= The following elements were taken to harvest the data:   - Six (6) motion capture cameras model S250e from Natural Point Inc. ( https://optitrack.com/ );   - Fifteen (15) passive-reflective optical markers;   - One computer running motion capture software from s.t.t.;   - A number of other minor accessories as camera wall mounts, Ethernet wires, adhesive tape, coffee and time. ======================= Technical details =======================   Database size: 71 recordings between 1.5 and 7 seconds long, summing up more than 20.000 frames   Exercise: regular gait motion at different paces   People: 14 different persons of different ages and shapes were recorded. No gait pathologies openly acknowledged.   Number of markers: 15 (Helen Hayes marker system)   Native camera resolution: 800x800 pixels   Sampling frequency: 100Hz   Cartesian units: millimeters   Right handed reference frame, +Y vertical upwards, ground height at Y=~0 ======================= Data base format =======================   The database is composed by 71 different files, one per gait sequence. Each file is written in plain ASCII, comma separated values (CSV) format. Each line represents an instant of time (frame) containing the 3D Cartesian positions of all the 15 markers with to 2 mantissa digits and dot symbol as decimal separator. A triple 'nan nan nan' instead of actual numbers stands for marker occlusion and consequently no measured position can be given. The coordinates are numerically arranged as follows:       X1; Y1; Z1; X2; Y2; Z2; ... Xi; Yi; Zi; ... X15; Y15; Z15;        ... where 'i' refers to the i-th marker among the following list:    1- Right ASIS    2- Left ASIS    3- Sacrum    4- Right Femoral wand    5- Left Femoral wand    6- Right Femoral epicondyle    7- Left Femoral epicondyle    8- Right Tibial wand    9- Left Tibial wand   10- Right Malleolus   11- Left Malleolus   12- Right Heel   13- Left Heel   14- Right Metatarsal head II   15- Left Metatarsal head II ======================= Privacy statement ======================= The personal privacy of the volunteers, adults of 25 and over, remains protected since no confidential data has been collected at any time. The authors count on the express written consent of the company to use the gathered data in the scope of academic research and as ground truth for the aforementioned PhD Thesis, including its publication under the specified license terms. ======================= Further information ======================= If you find any mistake or experience any trouble in the interpretation of the data, please do not hesitate to contact us.

opencc-by-4.0Aug 2017View details →

Multimodal optical measurement for study of lower limb tissue viability in patients with diabetes mellitus

According to the International Diabetes Federation, the challenges of early stage diagnosis and treatment effectiveness monitoring in diabetes is currently one of the highest priorities in modern healthcare. In this experimental study, the potential of combined measurements of skin fluorescence and blood perfusion by the laser Doppler flowmetry method in diagnostics of low limb diabetes complications was evaluated. With the use of Monte Carlo probabilistic modelling, the diagnostic volume and depth of the diagnosis were evaluated. The experimental study involved 76 patients with type 2 diabetes mellitus. These patients were divided into two groups depending on the degree of complications. The control group consisted of 48 healthy volunteers. The local thermal stimulation was selected as a stimulus on the blood microcirculation system. Experimental studies have shown that diabetic patients have elevated values of normalised fluorescence amplitudes, as well as a lower perfusion response to local heating. In the group of people with diabetes with trophic ulcers, these parameters also significantly differ from the control and diabetes only groups. Thus, the intensity of skin fluorescence and level of tissue blood perfusion can act as markers for various degrees of complications from the beginning of diabetes to the formation of trophic ulcers.

opencc-by-4.0Dec 2018View details →

Snow accumulation patterns in a high mountain Andean catchment from optical tri-stereoscopic remote sensing

1) DBSM_Data_RioYeso' = Automatic weather station (AWS) data from Yeso Embalse and Termas del Plomo meteorological stations (available from Chilean Water Directorate, 'Dirección General de Aguas' or 'DGA' http://www.arcgis.com/apps/OnePane/basicviewer/index.html?appid=d508beb3a88f43d28c17a8ec9fac5ef0), used to force a distributed blowing snow model of Essery et al. (1999) to derive spatial snow depth of the Rio del Yeso catchment, Chile. The format is as follows: {'Year','Month','Day','Hour','Incoming shortwave radiation (Wm2)','Incoming longwave radiation (Wm2)','SnowfallRate(mm/hr)','RainfallRate(mm/hr)','Air temperature (celsius)','Relative humidity (%)','Wind speed (m s-1)','Compass wind direction','Air pressure (hPa)'}; 2) 'snowHeightPleiadesREG' = A snow depth map (horizontal resolution 4m) derived from triplets of high resoution stereo optical satellite images (Pléiades) following the methodology of Marti et al. (2016). The snow depth map is derived for a high mountain catchment (Rio del Yeso) of the central Chilean Andes (see Burger et al., 2018). 3) 'L2_LiDAR_4m' = A LiDAR (Light detection and Ranging) spatial snow depth map at a horizontal resolution of 4 m. The data were captured by a Reigl VZ-6000 LiDAR scanner and generated from the difference of two constructed digital elevation models (DEMs) between the dates 13th September, 2017 (with snow) and 12th December, 2017 (without snow).  4) 'L2_Pleiades_SDLidar_NEW' = The Pléiades snow depth map as described in 2), extracted by the areas of LiDAR scan described in 3).  5) 'SnowDepthResults' = A folder containing a corrected and gap-filled Pléiades snow depth map ('SD_PleiadesCORR') and for comparison: 'SD_TOPO', a statistical estimation of snow depth using topographic parameters and the regression equation of Grünewald et al. (2013) and; The physically based estimates of snow depth using the DBSM model as in 1) without snow transport for the 4th September, 2017 ('SD_EXTP_Sep04') and 13th September, 2017 ('SD_EXTP_Sep13') and with snow transport for those dates ('SD_Wind_Sep04','SD_Wind_Sep13'). 6) 'rdyDEM' = An independent ASTER GDEM (https://asterweb.jpl.nasa.gov/gdem.asp) cut to the area of the study catchment (horizontal resolution = 30 m).  7) 'PlanetScope_20170907_TPK' = An stitched optical PlanetScope image of the catchment (horizontal resolution of 3.25 m) derived from access under the research and teaching iniative (planet.com).  Cited work: Burger, F. et al. (2018) ‘Interannual variability in glacier contribution to runoff from a high ‐ elevation Andean catchment : understanding the role of debris cover in glacier hydrology’, Hydrological Processes, pp. 1–16. doi: 10.1002/hyp.13354. Essery, R., Li, L. and Pomeroy, J. (1999) ‘A distributed model of blowing snow over complex terrain’, Hydrological Processes, 13(14–15), pp. 2423–2438. doi: 10.1002/(SICI)1099-1085(199910)13:14/15<2423::AID-HYP853>3.0.CO;2-U. Grünewald, T. et al. (2013) ‘Statistical modelling of the snow depth distribution in open alpine terrain’, Hydrology and Earth System Sciences, 17(8), pp. 3005–3021. doi: 10.5194/hess-17-3005-2013. Marti, R. et al. (2016) ‘Mapping snow depth in open alpine terrain from stereo satellite imagery’, The Cryosphere, pp. 1361–1380. doi: 10.5194/tc-10-1361-2016.

opencc-by-4.0Apr 2019View details →

Optical spectroscopy supporting Chandra observations of Herbig AeBe stars

This is optical data taken by AAVSO observers to support Chandra observations of Herbig AeBe stars. The purpose if this data is to check the accretion rate close in time to the Chandra observations.

opencc-by-4.0Dec 2018View details →

Data set of Ultrathin Eu- and Er-Doped Y2O3 Films with Optimized Optical Properties for Quantum Technologies

Data corresponding to the figures of the publication " Ultrathin Eu- and Er-Doped Y2O3 Films with Optimized Optical Properties for Quantum Technologies " by M. Scarafagio et al. J. Phys. Chem. C 2019, 123, 13354-13364 (<a href="https://doi.org/10.1021/acs.jpcc.9b02597">https://doi.org/10.1021/acs.jpcc.9b02597</a>). A text file describes data in each compressed folder, please refer to the caption in the publication for more details.

opencc-by-4.0Jul 2019View details →

Subpixel optical correlation co-seismic offsets for the Mw 6.4 and Mw 7.1 Ridgecrest, California earthquakes, from Copernicus Sentinel 2 data

Two strong earthquakes (Mw 6.4 and Mw 7.1) took place near Ridgecrest, California, on July 4 2019 and July 6, respectively. <a href="https://earthquake.usgs.gov/earthquakes/eventpage/ci38443183/executive">https://earthquake.usgs.gov/earthquakes/eventpage/ci38443183/executive</a> <a href="https://earthquake.usgs.gov/earthquakes/eventpage/ci38457511/executive">https://earthquake.usgs.gov/earthquakes/eventpage/ci38457511/executive</a> In order to assess surface ruptures and the displacement field from the earthquakes, we used subpixel image correlation with Copernicus Sentinel-2 optical imagery (Band 4). MicMac and CosiCorr software was used to to extract the 2D (East-West and North-South) horizontal co-seismic displacement field. Four high-resolution figures are given per method and component (EW and NS). Road network (white lines - from OpenStreetMap) and Quaternary Faults (black polylines) from USGS (<a href="https://earthquake.usgs.gov/hazards/qfaults/">https://earthquake.usgs.gov/hazards/qfaults/</a>) are used for overlay. Rasters are given per software used (MICMAC_ for MicMac and COSI for CosiCorr), with a pixel resolution of 20m. Final product is corrected with detrending (to remove mostly registration errors) and filtered to remove noise. Stripes resulting from pushbroom scanner and orbit errors were not removed at this product (visible as WNW-ESE and NNE-SSW linear parallel stripes). -North-South displacement: positive values to the North. - East-West displacement:  positive values to the East. Raster files are projected in UTM Zone 11North WGS84 ( EPSG:32611)   A contribution to CEOS Working Group Disasters: Seismic Demonstrator Copyright: Contains modified Copernicus Sentinel data (2019), OpenStreetMap data (2019), Quaternary Fault and Fold Database of the United States - USGS (2019)

opencc-by-4.0Apr 1977View details →

Text-fig. 6.—Endocranial mold of the Jordan theropod (LACM 28471). A, Dorsal view. B, Lateral view. Anterior is to the right. Lined areas represent broken bone surface and the mold is partially reconstructed in dashed lines. Abbreviations: c.h.—cerebral hemispheres, hb.—hindbrain, o.l.—optic lobe, o.n.—olfactory passage. in A new Theropod Dinosaur from the Upper Cretaceous of Central Montana

Text-fig. 6.—Endocranial mold of the Jordan theropod (LACM 28471). A, Dorsal view. B, Lateral view. Anterior is to the right. Lined areas represent broken bone surface and the mold is partially reconstructed in dashed lines. Abbreviations: c.h.—cerebral hemispheres, hb.—hindbrain, o.l.—optic lobe, o.n.—olfactory passage.

opencc-by-4.0Dec 2018View details →

Determining the Complex Jones Matrix Elements of a Chiral 3D Optical Metamaterial

Research Data supporting “Determining the Complex Jones Matrix Elements of a Chiral 3D Optical Metamaterial” original research article published in: APL Photonics 2019, 4 (12), <a href="http://dx.doi.org/10.1063/1.5127169">http://dx.doi.org/10.1063/1.5127169</a> The data of the dataset is arranged into different folders (.zip file), containing the following files (.txt, .tif files; italics). This data and the descriptions below should be read in conjunction with the manuscript and “Supporting Info”, both of which may be found at the following DOI: <a href="http://dx.doi.org/10.1063/1.5127169">http://dx.doi.org/10.1063/1.5127169</a>

Text-fig. 5. Free living colonies, showing a mode of preservation which does not allow for precise determination but clearly exhibiting features characteristic for Smittipora and/or Cupuladria and/or Reusirella. (note the clear intrazooecial buds). Specimen deposited in NM Prague under number T 3319. A – imprint, B – counterpart to fig A. C – Specimen deposited in SNM under number Z 37724. Optic photography. Scale bar 1 mm. in The Priabonian Bryozoan-Decapod Association From The Borové Formation (The Ďurkovec Quarry, Ne Slovakia) And Its Palaeoecological Implications

Text-fig. 5. Free living colonies, showing a mode of preservation which does not allow for precise determination but clearly exhibiting features characteristic for Smittipora and/or Cupuladria and/or Reusirella. (note the clear intrazooecial buds). Specimen deposited in NM Prague under number T 3319. A – imprint, B – counterpart to fig A. C – Specimen deposited in SNM under number Z 37724. Optic photography. Scale bar 1 mm.

Text-fig. 4. Reteporella sp., deposited in NM Prague under number T 3318. A – Large colony suggesting very short transport. Scale bar 10 mm. Optic photography. B – the detail of branch showing the mode of preservation (no original skeleton preserved). Scale bar 1 mm. SEM photography (BSE detector). in The Priabonian Bryozoan-Decapod Association From The Borové Formation (The Ďurkovec Quarry, Ne Slovakia) And Its Palaeoecological Implications

Text-fig. 4. Reteporella sp., deposited in NM Prague under number T 3318. A – Large colony suggesting very short transport. Scale bar 10 mm. Optic photography. B – the detail of branch showing the mode of preservation (no original skeleton preserved). Scale bar 1 mm. SEM photography (BSE detector).

Text-fig. 7. rigid erect bryozoans. A – colony perhaps belonging to Metrarabdotos and/or Smittina, deposited in NM Prague under number T 3321. B – erect rigid cyclostomatous bryozoans belonging perhaps to the genus Hornera, deposited in NM Prague under number T 3322. C – colony perhaps belonging to Myriapora, deposited in NM Prague under number T 3323. All photographs were taken under the optic microscope, all scale bars 1 mm. in The Priabonian Bryozoan-Decapod Association From The Borové Formation (The Ďurkovec Quarry, Ne Slovakia) And Its Palaeoecological Implications

Text-fig. 7. rigid erect bryozoans. A – colony perhaps belonging to Metrarabdotos and/or Smittina, deposited in NM Prague under number T 3321. B – erect rigid cyclostomatous bryozoans belonging perhaps to the genus Hornera, deposited in NM Prague under number T 3322. C – colony perhaps belonging to Myriapora, deposited in NM Prague under number T 3323. All photographs were taken under the optic microscope, all scale bars 1 mm.

Text-fig. 6. Lunulites(?), deposited in NM Prague under number T 3320. A – optic (scale bar 1 mm) and B – SEM (BSE detector) photography (scale bar 100 µm) showing characters suggesting determination as Lunulites (square shape and linear arrangement of autozooecia, short cryptocyst and presence of vibracularia). in The Priabonian Bryozoan-Decapod Association From The Borové Formation (The Ďurkovec Quarry, Ne Slovakia) And Its Palaeoecological Implications

Text-fig. 6. Lunulites(?), deposited in NM Prague under number T 3320. A – optic (scale bar 1 mm) and B – SEM (BSE detector) photography (scale bar 100 µm) showing characters suggesting determination as Lunulites (square shape and linear arrangement of autozooecia, short cryptocyst and presence of vibracularia).

opencc-by-4.0Apr 2021View details →

Figure 1 in Exploring the dynamics of small pelagic fish catches in the Marmara Sea in relation to changing environmental and bio-optical parameters

Figure 1. Time series of deseasonalised Chl-a, net primary productivity (NPP), and sea surface temperature (SST). Solid lines show the time series, dash-dot lines show the deseasonalised time series, dashed lines indicate their respective nonlinear trends, and flat solid lines show linear trend components.