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opencc-by-4.0Jul 2017View details →

Aeolian saltation fieldwork: values for size-selective transport measurements

This excel spreadsheet (‘SizeSelectiveTransport.xlsx’) contains the following information on surface and airborne particle size distributions (PSDs) for size-selective saltation transport analyses at our six field sites (Jericoacoara, Rancho Guadalupe, Oceano N1, Oceano S1, Oceano N2, Oceano S2): <ul> <li>“d_lower_mm” – Lower limit diameter for each particle size bin [mm].</li> <li>“d_mid_mm” – Midpoint diameter for each particle size bin [mm].</li> <li>“d_upper_mm” – Upper limit diameter for each particle size bin [mm].</li> <li>“dVdlnd_bed” – Site-averaged non-dimensionalized volume fraction in each size bin for surface samples, \(\frac{dV_{bed}}{d\ln(d)}\).</li> </ul> The field measurements from which these values were calculated are described in Martin and Kok (2017). <ul> <li>“dVdlnd_air” – Site-averaged non-dimensionalized volume fraction in each size bin for airborne samples, \(\frac{dV_{air}}{d\ln(d)}\).</li> <li>Site-averaged non-dimensionalized volume fraction in each size bin for airborne samples, conditioned on each non-dimensionalized shear stress range, \(\frac{dV_{air}}{d\ln(d)}|_{\tau/\tau_{it}}\). Cases in which a PSD is lacking for a shear stress range are marked as “NaN”: <ul> <li>“dVdlnd_air_taunorm_below_10” – for \(\tau/\tau_{it} \leq 1.0\)</li> <li>“dVdlnd_air_taunorm_10_15” – for \(1.0 < \tau/\tau_{it} \leq 1.5\)</li> <li>“dVdlnd_air_taunorm_15_22” – for \(1.5 < \tau/\tau_{it} \leq 2.2\)</li> <li>“dVdlnd_air_taunorm_22_30” – for \(2.2 < \tau/\tau_{it} \leq 3.0\)</li> <li>“dVdlnd_air_taunorm_30_40” – for \(3.0 < \tau/\tau_{it} \leq 4.0\)</li> </ul> </li> <li>“f_bed” – Fraction of bed surface particles in size bin i, \(f_{bed,i}\). Fraction is computed only for bins with particle diameter d > 1.3 mm. Bins below this value are marked as “NaN”.</li> <li>“f_air_bar” – Mean fraction of airborne particles in size bin i, \(\langle f_{air,i} \rangle\). Fraction is computed only for bins with particle diameter d > 1.3 mm. Bins below this value are marked as “NaN”.</li> <li>“f_air_sigma” – Uncertainty on mean fraction of airborne particles in size bin i, \(\sigma_{\langle f_{air,i} \rangle}\). “NaN” values correspond to undefined values for f_air_bar.</li> </ul> The Matlab file (‘GrainSizeData.mat’) includes further raw data, including number-based size distributions for individual samples.

opencc-by-4.0Aug 2022View details →

Fig. 1. Cyparium collare Pic, 1920. Measurements taken. A. Dorsal view. B. Ventral view. C. Lateral view. D in Contributions to the taxonomy of Neotropical Cyparium Erichson (Coleoptera: Staphylinidae: Scaphidiinae), with the description of five new species

Fig. 1. Cyparium collare Pic, 1920. Measurements taken. A. Dorsal view. B. Ventral view. C. Lateral view. D. Head in frontal view. Abbreviations: EH = elytral height in lateral view; EI = length of the inner margins of elytra, not including the scutellar shield; EL = elytral length in the midline; EW = greatest right elytron width; HW = maximum width of the head including eyes; IS = interocular space; MB = mesothorax length between fore and middle legs; MC = mesothorax length in the midline; PA = pronotal width at the anterior margin; PB = pronotal width at the posterior margin; PL = pronotal length along the midline; SL = scutellar shield length; SW = scutellar shield width; TL = total body length, not including head and abdomen; VL = length of ventrite 1 in the midline; WA = width between antennae.

Lake depth measurements of Rosdorfer Baggersee

The dataset provides measurements of lake depth of the quarry pond Rosdorfer Baggersee in Lower Saxony, Germany (appr. 51.5931 lat, 9.9154 long). Depth measurements were done between June and July 2022 using a Plastimo Echotest II handheld echosounder. Geographic position of echosound measurement was recorded using a Garmin GPSMAP 65. The measurements were conducted to develop a bathymetric map of the quarry pond based on an ordinary kriging approach.

Stowaways Supplement S3: Ma'agan Mikhael B Rattus rattus Cranial and Post-cranial Measurements Datasheet

Table S3-1. Measurements of MMB R. rattus crania, after Lepus protocol in von den Driesch (1976: figs. 18a, b). All measurements in mm. N-dash represents a measurement that was not applicable or not available based on the element’s state of preservation. Table S3-2. Measurements of MMB R. rattus mandibles, after Lepus protocol in von den Driesch (1976: fig. 25). All measurements in mm. N-dash represents a measurement that was not applicable or not available based on the element’s state of preservation. Table S3-3. Measurements of selected MMB R. rattus post-cranial bones. GL=greatest length, GB=greatest breadth, Bp=proximal breadth, Bd=distal breadth. All measurements in mm. N-dash represents a measurement that was not applicable or not available based on the element’s state of preservation. ***Version 2 added two new specimens from the September 2022 excavation season.

Measuring embodied conceptualizations of pitch insinging performances: insights from an OpenPose study

People conceptualize auditory pitch as vertical space: low and high pitch correspond to low and high space respectively. The strength of this cross-modal correspondence, however, seems to vary across different cultural contexts and a debate on the different factors underlying this variation is currently taking place. According to one hypothesis, pitch mappings are semantically mediated. For instance, the use of conventional metaphors such as ‘falling’ or ‘rising’ melodies strengthens a pitch-height mapping to the detriment of other possible mappings (e.g. pitch as bright/dark color or small/big size). Hence, entrenched pitch terms shape specific conceptualizations. The deterministic role of language is called into question by the hypothesis that different pitch mappings share a less constraining conceptual basis. As such, conceptual primitives may be concretized ad hoc into specific domains so that more local variation is possible. This claim is supported, for instance, by the finding that musicians use language-congruent (conventional) and language-incongruent (ad hoc) mappings interchangeably. The present paper substantiates this observation by investigating the head movements of musically trained and untrained speakers of Dutch in a melody reproduction task, as embodied instantiations of a vertical conceptualization of pitch. The OpenPose algorithm was used to track the movement trajectories in detail. The results show that untrained participants systematically made language-congruent movements, while trained participants showed more diverse behaviors, including language-incongruent movements. The difference between the two groups could not be attributed to the level of accuracy in the singing performances. In sum, this study argues for a joint consideration of more entrenched (e.g. linguistic metaphors) and more context-dependent (e.g. musical training and task) factors in accounting for variability in pitch representations.

Dataset of reaching measures of auditory peripersonal space

Data from a auditory reaching experiment in participants with active, guided and no training.

Data for "Associations between 3D surface scanner derived anthropometric measurements and body composition in a cross-sectional study"

Datasets underlying the analysis of the paper: "Associations between 3D surface scanner derived anthropometric measurements and body composition in a cross-sectional study" This upload includes the following: <ul> <li>data_study.csv : contains socio-demographic, health- and lifestyle factors, and body scan variables of each participant</li> <li>healthscore.csv : contains the "healthy score" from the food frequency questions calculated from from five food categories: fruits, vegetables, wholegrain products, meat, and sweet/salty snacks. For each category the officially recommended minimum or maximum amount of weekly intake was used as the cut-off value and a point was assigned if the recommendation was met. A score from 0 to 5 was built to reflect the overall healthiness of the diet.</li> </ul>

opencc-by-4.0Feb 2022View details →

Supporting data for manuscript describing Slice and Dice method to measure NMR relaxation with nested experiments

This is a supporting dataset for the manuscript "Slice and Dice: Nested Spin-lattice Relaxation Measurements" by W. Trent Franks, Jacqueline Tognetti and Józef R. Lewandowski. <ul> <li>NMR_data.zip : Raw NMR data in the Bruker format for the experiments presented in the manuscript. The file expands to a directory called "Raw NMR Data" that contains: <ul> <li>ReadMe_NMR_data.txt - describing the datasets included in the file.</li> <li>Record 1: 13C\(^\alpha\) individual experiment. Pulse program name: hRCH_CT1</li> <li>Record 2: 13C' individual experiment. Pulse program name: hCOcaH_SP_T1</li> <li>Record 3: 15N individual experiment. Pulse program name: hRNH_NT1b</li> <li>Record 10: 13C\(^\alpha\) + 13C' + 15N Slice & Dice experiment. Pulse program name: hR[COca,Ca,N]Ha_T10818 corresponding to the final sequence: hR[N,COca,Ca]HR_T1</li> </ul> </li> <li>Pulse_program.zip: The pulse program and include file for the Slice and Dice experiment described in the manuscript. The pulse program in Bruker format (war.hR[COca,Ca,N]H_T1 - this is a text file that can be opened with any text editor) was tested on a Bruker Avance III HD console. Both the pulse program file, war.hR[COca,Ca,N]H_T1, and include file, HCN_defs.incl, need to be placed in the pulse program directory (/opt/topspinXX/exp/stan/nmr/lists/pp/user where XX is replaced with the version of Topspin). The file expands to a directory "Pulse_program_incl" that contains: <ul> <li>war.hR[COca,Ca,N]H_T1 - pulse program</li> <li>HCN_defs.incl - include file</li> <li>ReadMe_SliceDice_pp.txt - details on how to set up the experiment.</li> </ul> </li> <li>HowToProcessSliceAndDice.pdf : Instructions on how to process Slice and Dice experiment in Topspin.</li> <li>MultiR1list.zip: A program written in Python 3 required to calculate delay lists for the nested experiment to be included in the pulse program. The file expands to a directory MultiT1list directory that contains: <ul> <li>MultiT1list.py - the program</li> <li>ReadMe_MultiT1list.txt - instructions on how to use the program</li> </ul> </li> <li>SNDProcguide.py.zip: A program written in Python 2 (SNDProcguideV2.py), which generates macro for processing and sorting 2D planes in Topspin. The script also provides some tips on setting parameters for different 2Ds and sorted lists of relaxation delays. Example output of the script is also included. The parameters in the script are set for the supplied example data.</li> <li>HowToProcess.mp4 - a video working through an example of processing Slice and Dice data.</li> </ul>

Satellite measurements of rain over Brazil

The video shows near-surface rain rates retrieved from the neural-network-based Hydronn precipitation retrieval. It compares it to Integrated Multi-satellitE Retrievals for GPM (IMERG), a commonly used global precipitation product. Because Hydronn uses observations from the GOES 16 geostationary satellite, it can produce retrievals every ten minutes, whereas IMERG data is only available half-hourly. The advantage of the high spatial and temporal resolution is visible in the results of Hydronn, which provides a much more precise and consistent picture of the organization of precipitation during the day. The data shown is from 16 December 2020. A powerful mesoscale convective system develops in the early morning over Paraguay, Argentina, and southern Brazil, and its evolution can be followed throughout the day. An overpass of the GPM dual-frequency precipitation radar from that day is also included in the video to provide a reference.

"Tiny Test Tubes" for affordable microfluidic blood measurements at the point of need - Dr Alexander Edwards (University of Reading)

This video is the tenth talk from our two day Future Blood Testing: Challenges & Opportunities Event that took place on the 14/09/2022. "Tiny Test Tubes" for affordable microfluidic blood measurements at the point of need - Dr Alexander Edwards (University of Reading) Bio: Al Edwards has a background in fundamental immunology combined with expertise in biochemical engineering, he is an interdisciplinary researcher focussed on solving current and future healthcare challenges using an engineering science approach that combines a range of fields from biology, biochemistry, chemistry and physics. He works at the interface between academic technology discovery and industrial development and have experience of both fundamental research and the commercialisation of new technology. The two main challenges he currently works on are the development of affordable microfluidics for clinical diagnostics and microbiology, and the engineering science of complex biologic therapeutics such as vaccines. Alexander's research is funded from a wide range of sources, including NIHR , EPSRC, SBRI Healthcare, the Wellcome Trust, Innovate UK and industry Further details on this event can be found at: https://futurebloodtesting.org/event/13-14-09-2022/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://youtu.be/21a78Vql8b0

Measuring platelet function: new strategies for precision medicine to prevent thrombosis - Prof Jon Gibbins (University of Reading)

This video is the third talk from our two day Future Blood Testing: Challenges & Opportunities Event that took place on the 13/09/2022. Measuring platelet function: new strategies for precision medicine to prevent thrombosis - Prof Jon Gibbins (University of Reading). Bio: Jon Gibbins is Professor of Cell Biology within the School of Biological Sciences at the University and is Director of the Institute for Cardiovascular and Metabolic Research. He is a graduate of the University, obtaining a degree in Pathobiology with Chemistry in 1991 and a PhD in Molecular Endocrinology in 1995. Following a period of postdoctoral research at the Oxford University, he returned to Reading in 1998 as a lecturer. Jon has established an internationally leading research group that studies blood clotting, with a particular focus on the development of more effective clinical strategies for the prevention and treatment of heart attacks and strokes, and thrombosis associated with infection. Jon values greatly working in an active, engaging and successful school, in which all aspects of biology are represented, and he champions cross-disciplinary working to approach today’s most challenging and pressing questions in new ways. He believes strongly in widening participation and improving levels of equity, diversity and inclusion across our institution. Further details on this event can be found at: https://futurebloodtesting.org/event/13-14-09-2022/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://youtu.be/8vJZ_WO-dvk

DATASET: In situ measurements of meltwater flow through snow and firn in the accumulation zone of the SW Greenland Ice Sheet

This repository contains all the data and code used to analyse these data related to the paper "In situ measurements of meltwater flow through snow and firn in the accumulation zone of the SW Greenland Ice Sheet" by Clerx et al. (2022), published in "The Cryosphere".

OME-Zarr 3D hiPSCs with labels & measurements, 2x2 field of views

These are 2 small OME-Zarr files of the data from <a href="https://doi.org/10.5281/zenodo.7057076">10.5281/zenodo.7057076</a>. They have been processed using <a href="https://pypi.org/project/fractal-client/">fractal-client</a> 0.2.1, <a href="https://pypi.org/project/fractal-server/0.1.2/">fractal-server</a> 0.1.4 and <a href="https://pypi.org/project/fractal-tasks-core/">fractal-tasks-core</a> 0.1.9 using this workflow: <a href="https://github.com/fractal-analytics-platform/fractal/tree/main/examples/08_cardio_2x2_dataset_processing_zenodo">https://github.com/fractal-analytics-platform/fractal/tree/main/examples/08_cardio_2x2_dataset_processing_zenodo</a> Both Zarr files are Zip-compressed to allow easier upload & download from Zenodo.  20200812-CardiomyocyteDifferentiation14-Cycle1.zarr contains 3 3D channels and a table with regions of interest for the 4 field of views contained in this data. 20200812-CardiomyocyteDifferentiation14-Cycle1_mip.zarr contains the same 3 channels, but as maximum intensity projections. It contains nuclear segmentation through cellpose. It also contains 2 tables: The region of interests like in the 3D data, as well as measurements performed with <a href="https://github.com/haesleinhuepf/napari-skimage-regionprops">napari-skimage-regionprops</a>. The tables are stored in the OME-Zarr file according to the <a href="https://github.com/ome/ngff/pull/64">proposed OME-NGFF</a> table spec in AnnData. The 3 channels are: - 0: DAPI, nuclear stain - 1: nanog, antibody staining with Bio-Techne AG, AF1997-SP, Lot KKJ0617121 for the stemness marker nanog - 2: Lamin B1, antibody staining with Abcam, ab16048, Lot GR3244890-2 for the nuclear envelope marker Lamin B1   This updated version now passes the ngff schema validation. A version with 3D segmentation is available here: <a href="https://zenodo.org/record/7144919">https://zenodo.org/record/7144919</a>

Measurement report: Radiative efficiencies of (CF3)2CFC, CF3OCFCF2, and CF3OCF2CF3

Absorption cross-sections of emerging greenhouse gases (GHG) were measured to estimate the radiative efficiency using high-resolution Fourier transform infrared spectroscopy (HR-FTIR). For quantitative spectroscopy, the Beer–Lambert parameters of absorber pressure, temperature, and optical path length (OPL) were accurately determined to be traceable to the primary standards. The OPL of the multipass cell mounted on the HR-FTIR spectrometer was spectroscopically calibrated. A ratio of the averaged N2O absorptions was found to be in the range of 2217.4–2219.0 cm-1, with a spectral resolution of 0.026 cm-1, yielding a ratio of OPLs that falls between the multipass cell and reference cell. This cell-to-cell comparison method is free from the uncertainty in the referring line strength, which reduced the calibration uncertainty compared with the direct line-strength referring method. With the OPL-calibrated multipass cell (3.169 ± 0.079 m), the absorption cross-sections were measured at low absorber pressures with a spectral resolution of 2 cm-1, integrated at 10 cm-1 intervals, and multiplied by the new narrow band model to yield the radiative efficiencies. The radiative efficiency values of CF4, SF6, and NF3 were evaluated to be 0.085 ± 0.002, 0.573 ± 0.016, and 0.195 ± 0.008 W m-2 ppb-1, respectively, which are consistent with previously reported values. For the emerging GHGs, the radiative efficiency values were determined to be 0.201 ± 0.008 Wm-2ppb-1 for heptafluoroisobutyronitrile (CF3)2CFCN; commercially referred to as Novec-4710), 0.328 ± 0.013 Wm-2ppb-1 for perfluoro methyl vinyl ether (CF3OCFCF2; PMVE), and 0.544 ± 0.022 Wm-2ppb-1 for 1,1,1,2,2-pentafluoro-2-(trifluoromethoxy)ethane (CF3OCF2CF3; PFMEE).

opencc-by-4.0Oct 2022View details →

Dataset of measurements of the soil CO2 flux and soil brightness temperature at Le Biancane (geothermal field of Larderello-Travale, Tuscany, Italy) in the May-June 2021 period.

Dataset of measurements of the soil CO2 flux and soil brightness temperature at Le Biancane (geothermal field of Larderello-Travale, Tuscany, Italy) in the period May-June 2021. The dataset is structured as follows: Column A is the progressive number of the point (#); Column B is the Longitude of the point, datum WGS 1984; Column C is the Latitude of the point, datum WGS 1984; Column D is the Universal Transverse Mercator (UTM) Longitude coordinate, datum WGS 1984, zone 32N; Column E is the Universal Transverse Mercator (UTM) Latitude coordinate, datum WGS 1984, zone 32N; Column F is the soil brightness temperature, in °C; Column G is the soil CO2 flux in grams of CO2 per square meter, per day (g m-2 day-1)

opencc-by-4.0Oct 2022View details →

Dataset of structural measurements at Le Biancane (geothermal field of Larderello-Travale, Tuscany, Italy) in the May-June 2021 period.

The dataset contains measurements of fractures and bedding at Le Biancane (geothermal field of Larderello-Travale, Tuscany, Italy) in the period May-June 2021. The term fractures in this dataset indicate a break in a rock where the orthogonal opening is predominant; when clear lateral displacement by shearing is observed, then we adopt the term fault accordingly to the definition by National Research Council (1996). The topological analysis has been conducted using the methods described by Sanderson and Nixon (2015; 2018). This dataset consists of two text files described below. structural-dataset.txt: this file contains the measured fractures and bedding planes, it is structured as follow: Column A is the Longitude of the point, datum WGS 1984; Column B is the Latitude of the point, datum WGS 1984; Column C is the dip direction of the measured structure; Column D is the dip of the measured structure; Column E is the type of the measured structure (fracture, fault, bedding)   topological-analysis.txt: this file contains the measurement done for the topological analysis on nine sites at Le Biancane area, it is structured as follow: Column A is the code of the site; Column B is the Longitude of the point, datum WGS 1984; Column C is the Latitude of the point, datum WGS 1984; Column D is the number of nodes I (NI); Column E is the number of nodes Y (NY); Column F is the number of nodes X (NX); Column G is the percent of nodes I (%NI); Column H is the percent of nodes Y (%NY); Column I is the percent of nodes X (%NX); Column J is the probability of connection of nodes I-I (PII’); Column K is the probability of connection of nodes I-C (PIC’); Column L is the probability of connection of nodes C-C (PCC’); Column M is the radius in meter (r) of the circle used for the topological analysis; Column N is the value of the parameter CL; Column O is the value of the parameter CB; Column P is the area (m^2) of the circle; Column Q is the fracture intensity;

Text-fig. 2. The methods of measurements. H – horizontal plane, HB – body height, SL – skull length, TL – total body length, 1 – the angle which the dorsal lobe of the caudal fin forms with the horizontal plane, 2 – the angle which the ventral lobe of the caudal fin forms with the horizontal plane, 3 – the angle which the scale row in front of the anal fin forms with the horizontal plane. in Actinopterygians Of The Broumov Formation (Permian) In The Czech Part Of The Intra-Sudetic Basin (The Czech Republic)

Text-fig. 2. The methods of measurements. H – horizontal plane, HB – body height, SL – skull length, TL – total body length, 1 – the angle which the dorsal lobe of the caudal fin forms with the horizontal plane, 2 – the angle which the ventral lobe of the caudal fin forms with the horizontal plane, 3 – the angle which the scale row in front of the anal fin forms with the horizontal plane.

Text-fig. 2. Measurements (Μm) of the width of IPM and PE prisms of various types of enamel in representatives of Equidae from the "tarpan" group. in The Ultrastructure Of The Tooth Enamel Of Small Equus Of The "Tarpan" Group And Their Possible Phylogenetic Connections

Text-fig. 2. Measurements (Μm) of the width of IPM and PE prisms of various types of enamel in representatives of Equidae from the "tarpan" group.

Text-fig. 6. Zoophycos showing spreiten structure with a continuously meandering tunnel. Schematic drawing of the specimen from unidentified layer from a block out of the measured profile. Scale in centimetres. in Early Complex Tiering Pattern: Upper Ordovician, Barrandian Area, The Czech Republic

Text-fig. 6. Zoophycos showing spreiten structure with a continuously meandering tunnel. Schematic drawing of the specimen from unidentified layer from a block out of the measured profile. Scale in centimetres.

Text-fig. 4. a: Conglomeratic to massive sandstone facies 1, facies A are composed of Andesit (AF), Clay (CF) and Sandstone (SF) fragments lain on medium-sandstone. b: Conglomeratic to massive sandstone facies, outcropping of massive sandstone facies comprises of fine to medium grain size of grey to yellowish sandstone. c: Heterolithic sandstone-mudstone facies, intercalation of fine sand with silt and shale as type form of heterolithic sandstone mudstone as indicated by a high sand/shale ratio. d: Example outcrops of heterolithic sandstone-mudstone 2 indicated by low sand/shale ratio. e: Heterolithic fine sand and mudstone and mudstone facies, intercalation of thin sandstone and shale. f: Representative of slump deposits outcrops belong to conglomeratic to massive sandstone facies, which is indicated by the intercalation of sandstone and shale and some disturbed beds or layers as seen in slump deposits. The facies type is normally deposited within the basin floor, channel margin or as a product of the overbank deposits. In this figure the slump deposit is shown as internal bedding, some occurred on the bedding-plane. Trend slope measurement of the fold-axis revealed values N 135°E and N 108°E. in Lithofacies And Ichnofacies Of Turbidite Deposits, West Java, Indonesia

Text-fig. 4. a: Conglomeratic to massive sandstone facies 1, facies A are composed of Andesit (AF), Clay (CF) and Sandstone (SF) fragments lain on medium-sandstone. b: Conglomeratic to massive sandstone facies, outcropping of massive sandstone facies comprises of fine to medium grain size of grey to yellowish sandstone. c: Heterolithic sandstone-mudstone facies, intercalation of fine sand with silt and shale as type form of heterolithic sandstone mudstone as indicated by a high sand/shale ratio. d: Example outcrops of heterolithic sandstone-mudstone 2 indicated by low sand/shale ratio. e: Heterolithic fine sand and mudstone and mudstone facies, intercalation of thin sandstone and shale. f: Representative of slump deposits outcrops belong to conglomeratic to massive sandstone facies, which is indicated by the intercalation of sandstone and shale and some disturbed beds or layers as seen in slump deposits. The facies type is normally deposited within the basin floor, channel margin or as a product of the overbank deposits. In this figure the slump deposit is shown as internal bedding, some occurred on the bedding-plane. Trend slope measurement of the fold-axis revealed values N 135°E and N 108°E.