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opencc-by-4.0Dec 2020View details →

Early Medieval Latin Manuscripts Transmitting the Text of the Etymologiae of Isidore of Seville: an excel datasheet

This excel file contains structured and formalized data about all surviving and identified early medieval Western manuscripts containing the text of the Etymologiae of Isidore of Seville, fully or partially. It records information about the place of origin, provenance, preservation, the date of origin, material properties, script, content, the state of preservation, presence of notable features, online representation, and bibliography of 507 manuscripts (v2.3.4: 496 manuscripts; v 2.3.2: 492 manuscripts; v2.1: 484 manuscripts; v2.0: 478 manuscripts) dated from the seventh to the first half of the eleventh centuries. This datasheet corresponds to the data published in the Innovating Knowledge database on 23 September 2024 (v2.3.4: 26 September 2023; v2.3.2: 2 August 2022; v2.1: 9 December 2021; v2.0: 12 October 2021), at: <a href="https://db.innovatingknowledge.nl/">db.innovatingknowledge.nl</a>   More information about the Innovating Knowledge project is available at: <a href="https://innovatingknowledge.nl">innovatingknowledge.nl</a>

opencc-by-4.0Sep 2024View details →

Characterization Data for the Manuscript: "Unraveling Metal Effects on CO2 Uptake in Pyrene-based Metal-Organic Frameworks through Integrated Lab and Computer Experiments"

This entry contains characterization data for the manuscript "Unraveling Metal Effects on CO2 Uptake in Pyrene-based Metal-Organic Frameworks through Integrated Lab and Computer Experiments".

opencc-by-sa-4.0Sep 2024View details →

Data for manuscript: "Understanding lower limb haemodynamics: sensitivity analysis of a 0D model"

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opencc-by-4.0Sep 2024View details →

Dataset for the manuscript "Self-Supervised Coherence-Based Denoising on Cryoseismological Distributed Acoustic Sensing Data"

The dataset contains cryoseismological data recorded in July 2020 on the Rhonegletscher, Switzerland, collected using both Distributed Acoustic Sensing and seismometers. This dataset provides the necessary data to reproduce the results presented in the paper “Self-Supervised Coherence-Based Denoising on Cryoseismological Distributed Acoustic Sensing Data.” The corresponding code is available on GitHub, and the paper can be accessed via Authorea.   Abstract:  One major challenge in cryoseismology is that signals of interest are often buried within the high noise level emitted by a multitude of environmental processes. Events of interest potentially stay unnoticed and remain unanalyzed, particularly because conventional sensors cannot monitor an entire glacier. However, with Distributed Acoustic Sensing (DAS), we can observe seismicity over multiple kilometers. DAS systems turn common fiber-optic cables into seismic arrays that measure strain rate data, enabling researchers to acquire seismic data in hard-to-access areas with high spatial and temporal resolution. We deployed a DAS system on Rhonegletscher, Switzerland, using a 9 km long fiberoptic cable that covered the entire glacier, from its accumulation to its ablation zone, recording seismicity for one month. The highly active and dynamic cryospheric environ ment, in combination with poor coupling, resulted in DAS data characterized by a low Signal-to-Noise Ratio (SNR) compared to classical point sensors. Our objective is to ef fectively denoise this dataset. We use a self-supervised J -invariant U-net autoencoder capable of separating incoherent environmental noise from temporally and spatially coherent signals of interest (e.g., stick-slip or crevasse signals). The method shows enhanced inter-channel coherence, increased SNR, and significantly improved visibility of the icequakes. Further, we compare different training data types varying in recording position, wavefield component, and waveform diversity. Our approach has the potential to enhance the detection capabilities of events of interest in cryoseismological DAS data, hence to improve the understanding of processes within Alpine glaciers.

Raw data used in the manuscript titled "Metabolomic Analysis of Histological Composition Variability of High-Grade Serous Ovarian Cancer Using 1H HR MAS NMR Spectroscopy "

The folder contains raw data used in the manuscript titled "Metabolomic Analysis of Histological Composition Variability of High-Grade Serous Ovarian Cancer Using 1H HR MAS NMR Spectroscopy ".    Raw data measured on Bruker Avance III 400 MHz NMR spectrometer: - 1D 1H HR MAS NMR spectra (path: Patient_code – Sample_code/500/fid) - 2D 1H-1H J-resolved HR MAS NMR spectra (path: Patient_code – Sample_code/600/ser).   Metadata is included in Metadata.xlsx file. Each sample is described with the following parameters: - patient code (after anonymization), - sample code (the label l or r denotes the left or right ovary in patients from whom samples were obtained bilaterally), - sample weight, - clinic-pathological parameters (such as: age, BMI, menopausal status, diagnosis, FIGO stage), - percentage tissue content obtained from histopathological analysis after HR MAS NMR studies (cancer cells, epithelial compartment within benign tumors, necrosis, inflammation, fibrosis, calcification, normal ovary, vessels, fatty tissue).   Some samples were considered representative of particular tissue components: - cancer (HGSOC) compartment, - fibrotic stroma within malignant  (HGSOC) tumors, - fibrotic stroma within benign tumors, - normal ovary tissue (the samples collected from the control group), - normal ovary tissue (the samples collected from the cancer patients), - necrosis, - non-tumoral fibrous tissue / fibrous tumor capsule (obtained from the patients with benign non-neoplastic lesions) - corpus albicans The assignment of the samples to these categories is indicated in the column Tissue components.   The samples classified as outliers in PCA model 1 are indicated in the column Outliers. The samples included in multivariate models are indicted in the columns: PCA 2, PCA 3, PCA 4, PCA 5, PCA 5a, PCA 6, OPLS-DA 1, OPLS-DA 2, OPLS-DA 3, OPLS-DA 4, OPLS-DA 5, OPLS-DA 6 and OPLSR.

Dataset of the manuscript: Predictive design to determine optimal absorber placement in colloidal photonic crystals

This data publication is based on the metadata and datasets underlying the manuscript "Predictive design to determine optimal absorber placement in colloidal photonic crystals". The Data is roughly organized by the figure of appearance. Figure 1 contained no result data Figure "Figure 2" contains: <ul> <li>Simulated and experimental reflectance spectra of bare PS colloidal crystal and CIELab color coordinates of simulated bare PS colloidal crystal.</li> </ul> Figure "Figure 3+4" contains: <ul> <li>Data for particle based and layer based designs for chroma optimization according to Eq. 2 </li> <ul> <li>convergence history J(steps)</li> <li>Optimized design absorber distributions (average of layers)</li> <li>CIELab color coordinates</li> <li>Spectra</li> </ul> <li>CIELab color coordinates and Chroma of all predictive designs sorted by threshold L value according to Eq. 3 + comparative designs: bottom absorber, top absorber, homogeneous.</li> </ul> Figure "Figure 5" contains: <ul> <li>Chemdraw File containing chemical structures</li> <li>Pendant drop surface tension measurements </li> <li>Surface pressure increase on Langmuir-Blodgett trough</li> </ul> Figure "Figure 6" contains: <ul> <li>SEM images of mono- and multilayers labeled in accordance to design and composition</li> </ul> Figure "Figure 7+8" contains: <ul> <li>Photographs of fabricated multilayers</li> <ul> <li>Homogeneous designs labeled in accordance to composition</li> <li>Layered designs labeled in accordance to design type (XBA: bottom absorber with X absorbing numbers; XTA: bottom absorber with X absorbing numbers; Ld_XX: predictive design with L threshold of XX)</li> </ul> <li>Spectra of all samples including their error determined from 2 measurements</li> <li>Average spectra of all designs (averaged from all samples of that design) including their error estimated using gaussian error propagation</li> <li>Color data of all samples calculated from spectra </li> <ul> <li>CIELab coordinates and Chroma</li> <li>xyz values</li> <li>RGB values</li> </ul> </ul> Figure "Figure 9" contains: <ul> <li>Optimized design absorber distributions, spectra and CIELab color coordinates and chroma for colloidal crystals of varying primary particle size</li> </ul>

opencc-by-4.0Oct 2023View details →

scLANE manuscript processed datasets

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Dataset package for the Manuscript "Absence of bulk charge density wave order in the normal state of UTe2"

The attached dataset contains raw data, normalized to the respective attenuater, reported in the manusript:  "Absence of bulk charge density wave order in the normal state of UTe2". The files "Figure4a.dat", "Figure4b.dat", and "Figure4c.dat" contain data that were presented in Figure 4a, Figure4b, and Figure4c of the manuscript. The first columns contain the x-axis values, the second columns the intensities, and the third column the errorbars. The files "Figure3_N.dat" present the data in Figure 3 c. Here, N labels the (K,L)-coordinates. These are orivuded in "Figure3_KL.dat", where for a number N the N-th row presents the K and L values in the first and second column, respectively. The files "Fig2a.dat" and "Fig2b.dat" contain the datapoints presented in Figure 2a and Figure 2b, where the first column corresponds to the x-axis coordinate and the second column to the recorded intensity.

Supplementary data for manuscript: "Characterizing dynamic heterogeneities during nanogel degradation"

Contains data files and code (python Jupyter notebook) to reconstruct plots for manuscript: "Characterizing dynamic heterogeneities during nanogel degradation" Contact: zmira@g.clemson.edu This work is supported by the National Science Foundation under NSF Award No. 2110309.

Data from used in the manuscript: Manifestations of sulfuric acid speleogenesis in the Mulapampa travertine, Central Andes of Peru: evidence from the Gruta con Lago

Manuscript Abstract: Sulfuric acid speleogenesis (SAS) is a form of hypogene speleogenesis characterized by the formation of caves in carbonate rocks due to the presence of sulfuric acid. This study focuses on the Gruta con Lago, one of three caves identified in the Mulapampa travertine, located in the Central Andes of Peru. These caves are accessed through collapse sinkholes, and much of their morphology results from roof breakdown. The bottom of the studied cave is situated at the current water table. Despite the absence of typical solutional features associated with SAS caves, mineralogical and geochemical evidence of speleogenesis involving H2SO4 has been found in Gruta con Lago. Significant accumulations of gypsum deposits on the cave floor and replacement gypsum crusts on walls – both considered by-products of SAS – are present. Cave gypsum samples exhibit negative sulfur isotopic composition (ranging from -19.4 to -8.2&permil;) and oxygen (ranging from -9.0 to -1.3&permil;), which are indicative of sulfide (H2S) oxidation. This article discusses potential scenarios of SAS events in the evolution of hypogene karst in the Mulapampa travertine. It also considers the significance of the proximity of the active volcanoes of the Ampato-Sabancaya Volcanic Complex (ASVC) and seismogenic crustal faults in the formation of a thick travertine cover and the potential for SAS processes. In this dataset, we make available supplementary information including 3 figures and 3 tables: Fig. S1. Gruta Campana. A – Bell-shaped collapse sinkhole; B – Steep passage to the bottom with sediments washed into the cave during heavy rain from surrounding farmland; C – Remnants of gypsum crust in a side passage. Fig. S2. Gruta Lechuza. A – cave survey and its relationship to the whole collapse sinkhole; B – cave entrance and upper part of talus cone formed by collapsed blocks overgrown by plants; C – location of the cave entrance under the collapse sinkhole wall; D – steep floor of the cave formed by collapsed travertine blocks; E – the lowest part of the cone of collapsed blocks (ca. 75 m below the surface); E, F – cave bottom (ca. 85 m below surface) covered with clastic sediments washed from the surface and efflorescences of secondary sulfate minerals; G – cupolas on the cave roof in the lower part of the cave. Fig. S3. Broken line graph of certain trace elements in waters from the Gruta con Lago (C1/1 – C1/6) and from Huambo springs (H1, H2); a logarithmic scale was used to present the values of trace elements.  Table S1. Chemical and isotopic composition of water samples from Gruta con Lago and Huambo springs. Table S2. Sulfur and oxygen isotopic composition of sulfur-containing minerals form the Gruta con Lago and sulfate ion in water from cave lake and Manco Cápac spring. Table S3. Chosen ionic ratios in water samples from Gruta con Lago and Huambo springs.

Datasets for Manuscript: Neural-Network-Assisted Detection of Superconducting Topological Semimetals

This file contains datasets for an original machine-learning-approach that we developed for the identification of superconducting topological semimetals.

opencc-by-4.0Nov 2024View details →

Dataset for manuscript "El Niño Southern Oscillation and Tropical Basin Interaction in Idealized Worlds"

Dataset accompanying the manuscript Dommenget and Hutchinson, 2025: El Niño Southern Oscillation and Tropical Basin Interaction in Idealized Worlds, Climate Dynamics, 63, p274 doi: <a href="https://doi.org/10.1007/s00382-025-07759-9">10.1007/s00382-025-07759-9</a> This dataset contains the following tar files: control-a55c1.tar coralsea.tar hermanito2.tar inf-trop.tar solo100.tar solo150.tar solo200.tar solo250.tar solo300.tar solo350.tar solo50.tar trio120.tar trio160.tar trio200.tar trio.tar twins.tar Each tar file is a folder corresponding to an experiment, described in the manuscript. There are 4 subfolders in each experiment: ancil   input   results   scripts The `results` folder contains post-processed data which forms the analysis in the manuscript. These are in compressed netcdf form, with self-describing variables. The `scripts` folder contains a `create.ancil.files.*` script, which was used to generate the input boundary conditions, and a `gfdl-run.cold.start.*` script, which was used to run the experiment on Gadi (nci.org.au). The `ancil` and `input` folders contain various input files that are used as inputs to each experiment. These inputs are included for reproducibility, but are by no means easy to understand without expert knowledge of the GFDL model. We anticipate that the `results` folder is self-explanatory, while the `ancil`, `input` and `scripts` folders are not easy to understand unless you have experience with running GFDL CM2.1. Contact the authors if you want information on how to run the experiments using these inputs.

Data for Manuscript: Instrumental Validity of the Motion Detection Accuracy of a Smartphone Based Training Game

Background: In the project TRIMOTEP we developed a low-cost augmented reality training game. Aim of the training game ist to support patients after total hip replacement in their rehabilitation. The project was funded by the Austrian Research Promotion Agency (FFG, grant number 862050). As hardware the training game uses a headset, an android smartphone and a step board. The goal of the training game is to dodge animals and objects while performing exercises. A current version of the training game can be downloaded here: https://trimotep.fh-joanneum.at/exer-game-ar_walker/ . The training game is based on Google ARCore and uses a movement detection approach to recognise different exercises. To detect movements ARCore uses the smartphone inbuilt inertial measurement unit and the front camera (https://developers.google.com/ar/discover). In order to investigate the possibilities of the training game, it is necessary to examine the accuracy of movement detection in more detail. Data: To investigate the accuracy, comparative measurements were carried out with 30 healthy subjects. During the measurements, the subjects motion was recorded simultaneously with the training game and an optoelectronic motion capture system (Vicon). Two trials were recorded with each subject. First Trial: subjects followed a protocol Second Trial: subjects played the training game for one minute The training game measures the movement of the smartphone (and therefore of the headset and the head). The optoelectronic motion capture system uses a marker set consisting of four markers. Those markers are labeled HMD_F, HMD_B, HMD_R, HMD_L. Markers HMD_R and HMD_L as well as HMD_B and HMD_F form an axis in a karthesian coordinate system. This coordinate system is rotated by 8 degrees compared to the training game along the transversal axis. Structure of the Data Set: The data set includes an excel sheet with general data of the subjects and a figure showing the tilt between the two coordinate systems. Further one folder contains the measurement data of the training game as json files. Another folder contains the measurement data of the optoelectronic motion capturing system as csv files.   For further information or help to process the data please contact: Bernhard Guggenberger, bernhard.guggenberger2@fh-joanneum.at

Data for the manuscript: "Self-organization of collective escape in pigeon flocks"

This repository contains all data (empirical and simulated) used and generated for the paper "Self-organization of collective escape in pigeon flocks" (2022) PLoS Comput Biol 18(1): e1009772. <a href="https://doi.org/10.1371/journal.pcbi.1009772">https://doi.org/10.1371/journal.pcbi.1009772</a>. More information can be found in the README file and the connected GitHub repository: https://github.com/marinapapa/SelfOrg-ColEsc-Pigeons/

Supplemental datafiles for the manuscript "On the origin of seismic anisotropy in the shallow crust of the Northern Volcanic Zone, Iceland"

Files to accompany the submission of the manuscript "On the origin of seismic anisotropy in the shallow crust of the Northern Volcanic Zone, Iceland" to the Journal of Geophysical Research: Solid Earth. File 1: conorbacon_ds01.inp - Input file for Coulomb File 2: conorbacon_ds02.txt - Shear-wave splitting results file

Complete results of Procedure section in manuscript "PathML: A unified framework for whole-slide image analysis with deep learning"

The results from a complete run of the Procedure section of the paper "PathML: A unified framework for whole-slide image analysis with deep learning".

Isca model data for Flex-UM manuscript (Maher and Earnshaw 2021)

This archive contains the model output generated for the manuscript Maher and Earnshaw (2021). The single data file, IscaSlabOcean.nc, contains a slab ocean Isca simulation using the Frierson default set-up. The Flex-UM and GA7.0 data for this manuscript are available at <a href="https://doi.org/10.5281/zenodo.5700372">https://doi.org/10.5281/zenodo.5700372</a> The python postprocessing and plotting routines for this manuscript are available at <a href="https://doi.org/10.5281/zenodo.5700633">https://doi.org/10.5281/zenodo.5700633</a>

opencc-by-4.0Jul 2021View details →

Raw data for the manuscript "Enhanced Photonic Maxwell's Demon with Correlated Baths"

This folder contains the raw data and analysis coded need to reproduce all of the major results in the manuscript "Enhanced Photonic Maxwell’s Demon with Correlated Baths".  The folder "demonPower" contains the data and code related to the photon number difference that the demon can generate. There are four analysis scripts, written in MATLAB, one for each type of bath used.  Each script loads the data, and plots the final results in Fig. 4 of the paper.  There is one data file for each reflectivity.  The different columns in the data files correspond to different count rates measured with our tagger. Only the first two columns are relvant, they are the counts per second measured at detector A and B.  Each line is one second worth of data. The folder "g2data" contains the data and code used to characterize the thermal and split thermal sources.  The two txt data files contain lists of the the channel that registered an event together with the clock cycle of the time tagger at which the event was registerd. The data are described and analyzed in the MATLAB script "thermalLightG2_withSave.m".

opencc-by-4.0Jul 2021View details →

ATACSeq fastq files associated with the manuscript entitled 'Interspecies transcriptome analyses identify genes that control the development and evolution of limb skeletal proportion'

This next-generation sequencing dataset is associated with the research manuscript entitled ‘Interspecies transcriptome analyses identify genes that control the development and evolution of limb skeletal proportion’ (https://www.biorxiv.org/content/10.1101/754002v2). The zipped folder ‘Zenodo_Saxena_etal_2021_ATACSeq_FastqFiles’ contains raw/unprocessed ATACSeq Fatsq read files for postnatal day 5 (P5) mouse (Mus) and jerboa (Jac) cartilage samples (Metatarsal = MT; Radius/Ulna = RU). > The Jac_P5 subfolder contains paired-end reads (R1 and R2) for three jerboa metatarsals (MT1-3) and radius/ulna (RU1-3) biological replicates. > The Mus_P5 subfolder contains paired-end reads (R1 and R2) for two mouse metatarsals (MT1-2) and radius/ulna (RU1-2) biological replicates.