cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28879328.v1
title: One-way valley-robust transport in edge-tailored photonic crystals

description: Data for a paper titled "One-way valley-robust transport in edge-tailored photonic crystals"
DOI: 10.17632/f5ksvkrp73
title: Broken Bars Induction Motors 2023 (BBIM2023)

description: The dataset contains electrical and mechanical signals from simulations on two three-phase squirrel cage induction motors with different rotor and stator slot combinations modeled using MATLAB software. The first motor at 2.2kW, two poles, three phases, 50 Hz, 400V and tested with rotor slots numbers 20, 29, and 32. The second motor had 2.2kW, four poles, three phases, 60 Hz, and 400V, with 36 stator slots and two rotor slot numbers, 28 and 44 [55]. The rotor slot numbers were chosen after researching the manufacturer's database with commonly used combinations. The simulation tests were carried out for full mechanical loads on the induction motor axis and different broken bar defects (one broken bar, two broken bars, and three broken bars) in the motor rotor, including data regarding the rotor without defects (healthy) at a sampling rate of 2k Hz. A single-line diagram may represent the rotor circuit's current flow. This diagram is intended to depict the modeling of a broken rotor bar and end ring. These graphics might help you understand how these changes affect the current flow. Features include: Time, Phase-A Stator Current, Phase-B Stator Current, Phase-C Stator Current, Rotor Bars Currents, ring current,	Rotor Speed,	Rotor Position, and Target Classes. It provides four classification outputs: healthy, one-BRB, two-BRBs, and three-BRBs for two different induction motors: (M24Ns, (20,29,32) Nb) and (M36Ns, (28,44) Nb).
DOI: 10.17632/npcn4c5htt
title: Data for: Sensitivity-based model update for estimating generalized proportional1 damping parameters in finite element model

description: These are the files used in the article: Sensitivity method for structural model update and identification in finite elements using vibration measurements. Please, cite and refer to the authors and this reference if you want to make use of the experimental data available here. If you have any question, please contact the authors by email: lamartini_90@hotmail.com.

The idea of the experiment was to observe the natural variability that happens in vibration measurement for natural frequencies and damping ratios from multiple measurements taken on different days, after assembling and disassembling the metallic frame.

The following files have the objective to help users who want to reproduce the paper's experimental data:

1. "Detailing - Experimental Model.pdf" shows the structure’s drawing and allows one to manufacture the same structure;

2. "CAD.STEP" is the 3D model from structure;

3. "Materials - FE Model.png" shows the materials and Finite Element Model used;

4. "Accelerometers.png" shows the accelerometer locations and hammer impact location;

5. "Figure_1.jpg", "Figure_2.jpg", "Figure_3.jpg" and "Figure_4.jpg" shows the experimental configuration;

6. "ExperimentalData.rar" contains the MatLab code "processamento.m" to post-process all the experimental data. These data are in proprietary Matlab DAQ-files format, readable by daqread command from MatLab. All the data are referred to acceleration time-histories for the 3 accelerometers in the direction perpendicular to the aluminium bars in the positions they were fixed.

6.1. "datastream.daq" file has the acceleration data for each measurement. There are 100 "datastream.daq" files, however, it was used only 50 data streams in that paper (datastream51.daq to datastream100.daq);

6.2."ResultadosExperimentais.xlsx" is a spreadsheet that summarizes the experimental results, mean, standard deviation, and covariance for all 8 output vectors (four natural frequencies and four modal damping ratios);

Experimental Setup and equipment:

The base of the frame structure was fixed on a rigid table and it was excited by an impact modal hammer. The impact location is presented in the Accelerometers.png file. The ADXL 203 accelerometers, by Analog Devices, were used to measure the vibrations signals from the impact. They have a 970 mV/g sensitivity and a maximum acceleration measurement of ±1.7 g, with a frequency range from 0 to 550 Hz. The acceleration signals were acquired with a Measurement Computing 12-bit USB acquisition board at a sampling rate of 1000 Hz. The same Accelerometers.png file presents the precise accelerometer’s location. The modal hammer is the Endevdo Isotron 4416, with a sensitivity of 1.14 mV/N connected to a signal conditioner Endevco Isotron 4416-1 with 10X gain. The last 50 measurement data were acquired to obtain averages, standard deviations, and covariances of first natural frequencies and the corresponding damping ratios to use in the finite element model updating process.
DOI: 10.6084/m9.figshare.16942633.v1
title: MAML Model

description: The FS-Mol MAML model that accompanies the paper
DOI: 10.6084/m9.figshare.28369433.v1
title: Data_Dianthus rupicola.xlsx

description: Data on the Dianthus rupicola complex
DOI: 10.6084/m9.figshare.3514217.v1
title: Appendix B. Results of mixed-model ANOVAs testing for fixed effect of leaf EFNs on annual arthropod predator and herbivore densities on peach trees in a completely randomized design field study.

description: Results of mixed-model ANOVAs testing for fixed effect of leaf EFNs on annual arthropod predator and herbivore densities on peach trees in a completely randomized design field study.
DOI: 10.6084/m9.figshare.14156369.v1
title: Dataset from: "Prenatal hypoxia affects scaling of hemodynamics and arterial wall mechanics in the common snapping turtle, Chelydra serpentina"

description: <b>File:</b><br><i>Organ mass.txt</i><br> Data from the organ mass of common snapping turtles, <i>Chelydra serpentina</i>, reared either under normoxia or 10% hypoxia. The headings are as follows: bm = individual body mass, in kilograms (kg) exp = experimental group, where “n” refers to turtles reared under normoxia, and “h” are turtles reared under 10% hypoxia hm = heart mass, grams (g) liver = liver mass, in grams (g) lung = lung mass, in grams (g) stom = stomach mass, in grams (g) s_int = small intestine mass, in grams (g) l_int = large intestine mass, in grams (g) kid = kidneys mass, in grams (g) <i> </i> <i>Hemodynamics.txt</i> Data from the heart rate and arterial pressures of the systemic and pulmonary circuits before and after injection of adrenaline in anesthetized common snapping turtles, <i>Chelydra serpentina</i>. The missing values are represented as “NA”. The headings are as follows: bm = individual body mass, in kilograms (kg) exp = experimental group, where “n” refers to turtles reared under normoxia, and “h” are turtles reared under 10% hypoxia c/a = indicates if the data corresponds to the control baseline “c” or after adrenaline injection “a” hr = heart rate, in beats per minute (bpm) pss = systemic systolic pressure, in kilopascal (kPa) psp = pulmonary systolic pressure, in kilopascal (kPa) pms = mean systemic pressure, in kilopascal (kPa) pmp = mean pulmonary pressure, in kilopascal (kPa) <i>Arterial mechanics.txt</i> Data from the arterial wall mechanics and morphology of common snapping turtles, <i>Chelydra serpentina</i>, reared either under normoxia or 10% hypoxia. The missing values are represented as “NA”. The headings are as follows: bm = individual body mass, in kilograms (kg) exp = experimental group, where “n” refers to turtles reared under normoxia, and “h” are turtles reared under 10% hypoxia art = corresponds to the artery studied, where “lao” is the left aortic arch, “pap” is the proximal pulmonary artery, and “pad” refers to the distal pulmonary artery ri = internal luminal radius, in millimeters (mm) w = arterial wall thickness, in millimeters (mm) t = arterial wall tension, in newtons per meter (N/m) s = arterial wall stress, on kilopascal (kPa) col = relative collagen content, unitless. Using the birefringent properties of the arteries stained with Picrosirius red, we compared the ratio of pixel density of collagen with the total amount of pixels from the total arterial cross sectional area using the image analysis program ImageJ.
DOI: 10.17632/w8vm4mm8t4
title: Soybean Healthy and Diseased Images Dataset

description: This Dataset consist of images of Soybean leafs. These unprocessed images separated in two folders. One folder contain Healthy soybean leaf images while another consist of Diseased images. All the images are captured by mobile phone camera in various farms in Kolhapur district of Maharashtra India
DOI: 10.6084/m9.figshare.12765407.v10
title: Real time history of wave parameters in Black Sea based on wave buoy measurements

description: Dataset of mean wave parameters registered every 30 min by spotter wave buoy (https://www.sofarocean.com/products/spotter) installed in Black Sea region near Gelendzhik city (Russia) on water depth about 80 m and about 4 nautical miles from the shore (LAT 44.51<sup>0</sup> LON 37.97<sup>0</sup>). The buoy was installed at 23 July 2020 in the frame of integrated coastal-marine scientific expedition "Black Sea - 2020" of Shirshov Institute of Oceanology (State assignments 149-2019-0005 and 149-2019-0014). The dataset provide 30 min averaged time history (Epoch Time) of wave parameters from this date and each 30 minutes up to 1 November 2020. Following wave parameters are available: Significant Wave Height (m),Peak Period (s),Mean Period (s),Peak Direction (deg),Peak Directional Spread (deg),Mean Direction (deg),Mean Directional Spread (deg),Latitude (deg),Longitude (deg). Also there are calculated real time estimations of Wind Speed (m/s) and Wind Direction (deg) (https://www.sofarocean.com/posts/wind-spotter). The data are in columns separated by commas, a symbol “-“ means no data. Some notes on data quality. Data such as they are transmitted by the buoy without additional selection. Sometimes there are spikes of the wave period (about 14-20 s) associated with the recording of ship waves in the presence of small wind waves (significant waves up to 40 cm high). Sometimes there are significant spikes of the height of significant waves associated with the fact that curious sailors and fishermen can raise a buoy on board the ship to see what it is. On 27 August 2020, the buoy was torn away by a strong current and re-installed at the same location on 3 September 2020.
DOI: 10.6084/m9.figshare.27324438.v2
title: EPSsmash demonstration files

description: Examples of EPSsmash outputs
DOI: 10.17632/hkgstm9sxg
title: Data for: Performance properties of plywood composites reinforced with carbon fibers

description: Uploaded data presents results of physical and mechanical properties of layered wood composite reinforced with carbon fiber where the MUF resins were used as a binder. Hypothesis of the study assumes that addition of carbon fibers to wood-layer panels bonded with MUF resin improves mechanical and physical properties of the panels and that orientation of CF in the composite panels affects mechanical and physical properties of the panel. The investigation included 5 variants: PE - Parallel structure/ external system; PI - Parallel structure/ internal system; CE - Cross structure/ external system; CI - Cross structure/ internal system, and RE - Reference plywood (industrial type). The following mechanical properties of manufactured composites were tested: modulus of rapture (MOR) and modulus of elasticity (MOE) were tested based on the EN 310 standard; internal bound (IB) according to EN 319 standard; screw withdrawal strength (SH) according to EN 320 standard, and physical properties of manufactured composites: thickness swelling after 2 and 24 hours of soaking in water; water absorption after 2 and 24 hours of soaking in water. Additionally cutting resistance was tested. Each test was repeated at least 10 times. Results showed that reinforcing plywood panels with carbon fibers increased both MOR and MOE. The cutting resistance showed better results for composite panels with CF in a perpendicular orientation. Moreover, the water uptake and thickness swelling after 24 hours showed better results for fibers in the core layer, either parallel or perpendicular.
DOI: 10.6084/m9.figshare.1495537.v1
title: Figures showing the bounding surfaces of a tesseroid (spherical prism)

description: View of a tesseroid (spherical prism) in a geocentric coordinate system. Red planes show the six bounding surfaces of a tesseroid: two parallels, two meridians, and two concentric spheres. This figure is used in the Tesseroids (http://tesseroids.leouieda.com) software documentation. Created using Inkscape (https://inkscape.org). Other file formats are available in the Github repository (https://github.com/leouieda/tesseroid-figures).
DOI: 10.6084/m9.figshare.26808775.v1
title: Network Data - Network community detection via neural embeddings

description: This is the data repository for Kojaku et al.'s study, "Network community detection via neural embeddings," published in Nature Communications. It includes the following network data:<br>- **multi_partition_model**: Network generated by the stochastic block model.- **lfr**: Lancichinetti-Fortunato-Radicchi networks.- **empirical**: Empirical networks used in this study.<br>Each folder contains network data comprising two files: `node_*.npz` and `net_*.npz`. The `net_*.npz` file can be loaded as an adjacency matrix using `scipy.sparse.load_npz`. The `node_*.npz` file is a CSV containing the ground-truth community memberships of the nodes.
DOI: 10.6084/m9.figshare.28927784.v2
title: Data Analysis zip

description: The zip folder contains codes used for data analysis and the data used for the codes.
DOI: 10.6084/m9.figshare.3555375.v1
title: Appendix A. Underwater video methodology for estimating fish densities.

description: Underwater video methodology for estimating fish densities.
DOI: 10.6084/m9.figshare.16419771.v2
title: Supplementary material for: Sedimentary response to current and nutrient regime rearrangement in the Eastern Mediterranean Realm during the early to middle Miocene (southwestern Cyprus)

description: Supplement 1: additional photomicrographs<br>Supplumnet 2: raw data for bulk stable isotopes and organic carbon contentSupplumnet 3: Occurance chart for nannofossils used for biostratigraphy
DOI: 10.6084/m9.figshare.22664644.v1
title: Patient genetic data.xlsx

description: NSCLC patients with EGFR mutations carrying PD-L1 TPS ≥ 50% after developing EGFR-TKI resistance
DOI: 10.6084/m9.figshare.28029467.v1
title: Supplementary for "Antibiotic Resistance in Indonesia: A Systematic Review and Meta-Analysis of Extended-Spectrum Beta-Lactamase Producing Bacteria (2008-2024)"

description: An underlying data for a manuscript entitled: Antibiotic Resistance in Indonesia: A Systematic Review and Meta-Analysis of Extended-Spectrum Beta-Lactamase Producing Bacteria (2008-2024)
DOI: 10.6084/m9.figshare.28328765.v1
title: Global utility-scale photovoltaic induced carbon pool changes and associated carbon footprint: Datasets

description: This dataset is associated with the paper titled "Global utility-scale photovoltaic induced carbon pool changes and associated carbon footprint".
DOI: 10.6084/m9.figshare.3569100.v1
title: Appendix E. Comparisons of allopatric and sympatric densities and extinction sequences induced via increased mortality.

description: Comparisons of allopatric and sympatric densities and extinction sequences induced via increased mortality.
DOI: 10.17632/2d5kyk3vgc
title:  Relative Uplift Rates along the Vigan-Aggao Fault in Ilocos Norte, Philippines Evaluated Through Morphometric Analysis: Dataset

description: Map Packages of the morphometry data used in the study
DOI: 10.17632/wdpxsyrg2s
title: Development and Validation of Deep Learning Models for the Prediction of Intraoperative Hypotension

description: A companion code repository for the research, "Development and Validation of Deep Learning Models for the Prediction of Intraoperative Hypotension". The data analysed for the development and validation of the models in this study are available in the VitalDB (https://vitaldb.net). The code and the result for data quality control is available in the following repository (https://github.com/vitaldb/examples/blob/master/vitaldb_quality_check.ipynb).
DOI: 10.6084/m9.figshare.1293558.v3
title: Bathymetry of Lagoon of Venice, 2002

description: Bathymetric map of the Lagoon of Venice, reference date 2002 (CRS EPSG:3004). Original data, provided by Magistrato alla Acque di Venezia, were elaborated by Sarretta et al., as described in the article "Sarretta A, Pillon S, Molinaroli E, Guerzoni S, Fontolan G. 2010. Sediment budget in the Lagoon of Venice, Italy. Continental Shelf Research 30 : 934–949. DOI: 10.1016/j.csr.2009.07.002". An open access version of the article can be downloaded from: http://dx.doi.org/10.6084/m9.figshare.810481
DOI: 10.6084/m9.figshare.17755229.v1
title: Dataset: HEXACO personality factors as predictors of physical activity, resting heart rate, body mass index, and healthy lifestyle behaviors

description: An open dataset of N = 2580 students (1020 men, 1560 women) with data values for steps per day, resting heart rate, lifestyle score, and the six HEXACO personality traits: Honesty/humility, negative Emotionality, eXtraversion, Agreeableness, Conscientiousness, and Openness to experiences. This dataset is available under a CC0 license.
DOI: 10.6084/m9.figshare.24032697.v1
title: Untitled Item

description: Excel spreadsheets
DOI: 10.6084/m9.figshare.6729287.v1
title: DFT output files for 'Control of Uniaxial Negative Thermal Expansion in Layered Perovskites by Tuning Layer Thickness'

description: Output files with .castep extension for all DFT calculations related to the manuscript 'Control of Uniaxial Negative Thermal Expansion in Layered Perovskites by Tuning Layer Thickness' performed using CASTEP v7.0.3.<br>
DOI: 10.17632/v2fdmg9rtx
title: WOM DATA

description: data KOL EWOM PURCHASE DECISION
DOI: 10.6084/m9.figshare.1157869.v1
title: Map of BDFFP Reserve 1501, Manaus, Brazil

description: Map of the trail system of Reserve 1501 of the Biological Dynamics of Forest Fragments Project (aka Camp 41). Located on the ZF3, North of Manaus, Brazil.
DOI: 10.6084/m9.figshare.28123403.v1
title: Mapping human impacts to seagrass meadows across the world’s marine protected areas

description: *Data and code for: Mapping human impacts to seagrass meadows across the world’s marine protected areasAll data from SeagrassSpotter is available open access: http://seagrassspotter.org*World Marine Protected Areas shapefiles are not uploaded.
DOI: 10.6084/m9.figshare.29069267.v1
title: Paintings and Questionnaire Dataset

description: We collected more than 300 paintings and their line drawings, colored them with paintings, and also made public 17,920 user rating data about the colored paintings.
DOI: 10.6084/m9.figshare.3529169.v1
title: Appendix D. Species recorded in each park or reserve surveyed.

description: Species recorded in each park or reserve surveyed.
DOI: 10.6084/m9.figshare.978686.v1
title: Debris-flow flume video clips

description: Debris-flow flume video clip. Granular flows in a 4-meter diameter, 0.8-meter wide vertically rotating flume to study basal force and erosion beneath debris-flows. The video files are named by [Run ##]_[MMSS_start]-[MMSS_end]_[velocity m/s]. This work was supported by the STC program of the National Science Foundation via the National Center for Earth-surface dynamics under the agreement EAR-0120914.
DOI: 10.17632/xmnm5xmpbx
title: Monte Carlo simulation of X-ray imaging and spectroscopy experiments using quadric geometry and variance reduction techniques

description: This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018) Abstract The simulation of X-ray imaging experiments is often performed using deterministic codes, which can be relatively fast and easy to use. However, such codes are generally not suitable for the simulation of even slightly more complex experimental conditions, involving, for instance, first-order or higher-order scattering, X-ray fluorescence emissions, or more complex geometries, particularly for experiments that combine spatial resolution with spectral information. In such cases, simulations ar... Title of program: XRMC Catalogue Id: AERO_v1_0 Nature of problem Simulation of a wide range of X-ray imaging and spectroscopy experiments using different types of sources and detectors. Versions of this program held in the CPC repository in Mendeley Data AERO_v1_0; XRMC; 10.1016/j.cpc.2013.10.034
DOI: 10.6084/m9.figshare.14276780.v1
title: Sickle cell retinopathy: characterization among patients over 40 years of age

description: Abstract Purpose: This article aims to describe the prevalence of retinal alterations on the indirect binocular ophthalmoscopy exam in patients with sickle cell disease (HbSS or HbSC) who are over 40 years of age. Methods: This is a retrospective study in which patients with sickle cell disease (SCD) with an age group of 40 years or older were attended in a service of retina in Salvador, Brasil on the last 10 years. All patients were submitted to the clinical file filling, which includes the sociodemographic profile, clinical profile and ophthalmologic examination. The patients were divided in two groups (SS or SC), according to genotypic profile of hemoglobinopathy (HbSS or HbSC). The classification of retinopathy was performed according to Goldberg in proliferative and non-proliferative retinopathy. A P-value &lt;0.05 was considered statistically significant. Results: A total of 97 patients (194 eyes) were evaluated, being 44 (45%) of the SC group and 53 (55%) of the SS group. Of the 97 patients, 19 (19.5%) did not present retinal changes and 78 (80,5%) present sickle cell retinopathy. Of the 78 patients with retinopathy, 22 (28%) had nonproliferative sickle retinopathy and 56 (72%) had proliferative alterations. The increase in vascular tortuosity was the most observed nonproliferative sign (26.8% of eyes) in both groups. The SC patients presented a greater proportion of findings of areas of retinal non perfusion (30%) than SS patients (p = 0.015). Conclusion: The results suggest the need for regular ophthalmologic follow-up of patients with SCD, especially in the older age group, due to the high prevalence of 80.5% of findings of sickle cell retinopathy on examination in patients over 40 years old.