Find research datasets worth reusing

opencc-by-4.0Sep 2015View details →

Fig. 1 in Growth Processes In The Postembryonic Development In Altricial Birds On The Example Of Song Thrush, Turdus Philomelos (Passeriformers, Turdidae): A Multivariate Approach

Fig. 1. Distribution of centroids for the age-based song thrush samples in the factor space of PC1 and PC2 (figs 1–13 denote nestling's age in days).

opencc-by-4.0Sep 2015View details →

Fig. 3 in Growth Processes In The Postembryonic Development In Altricial Birds On The Example Of Song Thrush, Turdus Philomelos (Passeriformers, Turdidae): A Multivariate Approach

Fig. 3. Results of comparison of 20 morphometric traits (1–20) in nestlings of song thrush according to their DRPI and dynamics of growth processes. Numbers of traits as given in table 1.

opencc-by-nc-4.0Mar 2021View details →

Overlap of vitamin A and vitamin D target genes with CAKUT-related processes

Underlying data of our study "<a href="http://doi.org/10.12688/f1000research.51018.2">Overlap of vitamin A and vitamin D target genes with CAKUT-related processes</a>" are provided here.   Congenital Anomalies of the Kidney and Urinary Tract (CAKUT) are a group of abnormalities affecting the kidneys and their outflow tracts. Vitamins are among the environmental factors that are considered for CAKUT aetiology. In this study, we collected vitamin A and vitamin D target genes and computed their overlap with CAKUT-related gene sets. We observed in particular significant overlaps between vitamin A target genes and CAKUT causal genes or genes involved in renal system development.

opencc-by-4.0Apr 2022View details →

Input data for ERIC values calculation for RAA process

For each area (in total 9 areas of SEE) and for each week (in total 2 weeks of 2021) used in final demonstration of CROSSBOW TC1.1.1 one input file is prepared – in total 18 excel files (*.xlsx). Each file is consisted of 4 sheets: <ul> <li>LOAD – load forecast for 168 timestamps of the given week;</li> <li>DISP_GEN_THERMAL – unit capacity and Forced Outage Rate of production for dispatchable thermal units;</li> <li>DISP_GEN_HYDRO – unit capacity and Forced Outage Rate of production for dispatchable hydro units;</li> <li>NONDISP_GEN – forecasted values for Photovoltaic, Wind, Run of River, Combined Heat and Power and Biomass non-dispatchable units for 168 timestamps of the given week.</li> </ul> Sampling period: Week 9 and Week 10 of 2021

opencc-by-4.0Sep 2022View details →

Quality control traceability during the packing and release process of Ceratitis capitata for Sterile Insect Technique

Abstract In programs applying the Sterile Insect Technique (SIT), the quality of insects deployed in the field determines the success in preventing, suppressing, containing, or eradicating the pest population. In the fruit fly emergence and release facility (ERF) of the Moscamed Program in Mexico, irradiated pupae of Ceratitis capitata are packed in Mexico-type towers, and key adult quality parameters, such as emergence, fliers, and survival, are determined throughout the packing, handling and release process. However, different methodologies are used to estimate the percentage of fliers in the different stages of the process, raising doubts of whether observed differences are due to the effect of each stage or to the methodology used. With this in mind, we developed an alternative called “Adult Flier device” (= AF-device) to evaluate the adult flier parameter following a critical evaluation path of five steps: 1) upon arrival at ERF, 2) post-packing, 3) post-holding, 4) post-chilling, and 5) post-release, where adult fliers and survival under stress were evaluated. We also compared the current methodologies for the estimation of "absolute fliers" available in different operating manuals. Our results suggest that the AF-device allows reliable traceability of sterile insect quality parameters throughout the packing and release process, since no significant differences were observed with the control treatments. In the chilling stage, the five methodologies tested were equivalent, but the AF-device was less time-consuming and required less manpower and biological material than the other methodological options. Our results demonstrate that the use of the AF-device can be a feasible, versatile, innovative, and efficient alternative to evaluate quality control parameters throughout the process of packing and releasing sterile insects, providing reliable results in a timely manner with less hand labor using minimal biological material.

Compound Data for Robust Processes for Polymer Modification and Pharmaceutical Synthesis

Compound structural (IUPAC name, InChI, InChI Key, SMILES, .mol, .sdf) and spectral (NMR, MS) data included for compounds reported in the associated doctoral thesis. NMR data collected on Bruker Avance 400, 500, or 600 MHz spectrometers. Compound structure data were generated by ChemDraw v.20 (PerkinElmer). More details about the preparation and characterization of these compounds can be found in the associated thesis.

opencc-by-4.0Nov 2021View details →

Process parameters and properties of laser powder bed fusion alloys

List of process paramaters and resulting properties of printed samples after laser powder bed fusion. Process parameters include: manufacturer of LPBF equipment, equipment model and laser type of the printer, laser power (P), scan speed (v), nominal powder layer thickness (t), hatch spacing (h), laser beam diameter (spot size (d), focus offset distance of the laser beam, scanning strategy, rotation angle of scanning strategy between layers and the build plate temperature. Information about the post-processing of the alloys was collected as to whether the alloy was heat-treated, heat treatment type, temperature and duration of each heat treatment step. Properties include consolidation, hardness, yield stress, elongation to failure, tensile strength Dataset was collected from peer-reviewed publicaions. Sources of the original data are provided within the datasheet.

Simulation file for "Titanium dioxide and silver nanoparticles air emissions risk assessment for spray coating processes in Witek, Italy – A case study"

Underlying data for “Nanosized titanium dioxide particle emission potential from a commercial indoor air purifier photocatalytic surface – A case study”

BiodivBERT: Pre-processed Datasets for NER and RE Downstream Tasks

Preprocessed datasets for both Named Entity Recognition (NER) and Relation Extraction (RE) used in <a href="https://github.com/fusion-jena/BiodivBERT">BiodivBERT</a> fine-tuning.

Investigation of New Particle Formation mechanisms and aerosol processes at the Marambio Station, Antarctic Peninsula

This dataset belongs to : Investigation of New Particle Formation mechanisms and aerosol processes  at the Marambio Station, Antarctic Peninsula Quéléver, L. L. J., Dada, L., Asmi, E., Lampilahti, J., Chan, T., Ferrara, J. E., Copes, G. E., Pérez-Fogwill, G., Barreira, L., Aurela, M., Worsnop, D. R., Jokinen, T., and Sipila, M.: Investigation of New Particle Formation mechanisms and aerosol processes at the Marambio Station, Antarctic Peninsula, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2021-1063, in review, 2022   The Mass spectrometry and particle data were the result of a measurement campaign performed at the Marambio Station, Antarctica during the austral summer 2018  The data set includes: - Time series for sulfuric acid, methane sulfonic acid and iodic acid concentration  - Mass defect data for a new particle formation case study on 16-02-2018 - Time series for nucleation rates  - Time series for formation rates  Please refer to the individual *README.txt files and the corresponding publication. For further information please contact the corresponding author: Lauriane L.J. Quéléver: Lauriane.quelever@helsinki.fi

Potential distribution of invasive boxwood blight pathogen (Calonectria pseudonaviculata) as predicted by process-based and correlative models

R project, R scripts, and data files for reproducing most of the analyses presented in a climatic suitability study for boxwood blight. The README. md file describes how to run the scripts and provides details on data inputs. Abstract: Boxwood blight caused by Cps is an emerging disease that has had devastating impacts on Buxus spp. in the horticultural sector, landscapes, and native ecosystems. In this study, we produced a process-based climatic suitability model in the CLIMEX program and combined outputs of four different correlative modeling algorithms to generate an ensemble correlative model. All models were fit and validated using a presence record dataset comprised of Cps detections across its entire known invaded range. Evaluations of model performance provided validation of good model fit for all models. A consensus map of CLIMEX and ensemble correlative model predictions indicated that not-yet-invaded areas in eastern and southern Europe and in the southeastern, midwestern, and Pacific coast regions of North America are climatically suitable for Cps establishment. Most regions of the world where Buxus and its congeners are native are also at risk of establishment. These findings provide the first insights into Cps global invasion threat, suggesting that this invasive pathogen has the potential to significantly expand its range.

opencc-by-4.0Jul 2019View details →

Manufacturing of Hybrid Overmoulded FRP Components: Impact of Process and Environmental Parameters on the Mechanical Properties

A manufacturing parametric study was carried out on a hybrid part, consisting of two organo sheets and injection moulded rib reinforcements, made out of a short fibre reinforced plastic. The effect of the temperature of all components, the pressure profile throughout the injection moulding process as well as the subsequent storage conditions on the mechanical properties was investigated. For this purpose a total of 96 parts was manufactured with different processing parameter combinations. Afterwards all parts were subjected to a cantilever beam test, analysing initial stiffness, deformation work and peak force. Furthermore a variety of potentially influencing factors such as temperature, humidity, order of testing, transfer durations and many more were tracked. Parameter definition: <ul> <li>part_ID: Unique part identifier.</li> <li>OS-degradation: Degradation of the organo-sheet(OS) because of thermal decomposition at temperatures above 260°C. Given as percentage of degraded mass.</li> <li>heating-duration: Time of heating the OS in seconds.</li> <li>heating_temperature-OS: Surface temperature of the OS at the end of the heating period in °C.</li> <li>heating_field-temp.: Temperature of the heating field immediately before the heating process begins in °C.</li> <li>stiffness: Bending stiffness of the structure in N/mm. Determined from the force-deflection-curve between 50 and 150 N.</li> <li>maximum_force: Highest force value measured during the cantilever beam test in kN.</li> <li>deflection: Value corresponding to the maximum force in mm.</li> <li>deformation_work: Absorbed work due to deformation in kN*mm. Determined by integrating the force-deflection-curve from 5 to 30 mm with a lower bound of 0.05 kN on the force.</li> <li>corrected-x: Value of x corrected by taking into account the water intake.</li> <li>rib_lengths-x: Length of the rib in mm (1à5th, 2à7th , 3à10th).</li> <li>sprue_width: Diameter of the sprue in mm.</li> <li>part_length: Total part length in mm.</li> <li>mould_filled-x: Flag indicating whether the mould was filled (indicated by 1) at position x (1àbroad end, 2àmid, 3ànarrow end)</li> <li>rib_length: Mean of the measured rib lengths in mm.</li> <li>mould_filled: Mean of the flags for fill state.</li> <li>day_of_testing: Day on which the part was tested (1,2,3).</li> <li>no._of_test_per_day: Number of test on the respective day.</li> <li>no._of_test_total: Number of tests in total.</li> <li>delay_of_transfer: Duration between removal of the OS from the heating field and begin of the transfer in s.</li> <li>transfer_temp_beg.-x: Surface temperature in °C of the OS at the beginning of the transfer at position x.</li> <li>transfer_temp_end-x: Surface temperature in °C of the OS at the end of the transfer at position x.</li> <li>tool_surface_temp.-x: Surface temperature in °C of the tool at position x.</li> <li>fixing-x: Flag indicating whether the OS was fixed (indicated by 1) at position x (1àbroad end, 2àmid, 3ànarrow end).</li> <li>fixing: Mean of the flags for fixing.</li> <li>duration-rapid_traverse: Duration of the rapid motion phase of the press in s.</li> <li>duration-deformation: Duration of the motion phase of the press deforming the OS in s.</li> <li>press_profile: ID for translational velocity of the press (0àslow, 1àfast).</li> <li>duration-closing: Sum of duration-rapid_traverse and duration-deformation.</li> <li>duration-injection: Duration of the pure injection process in s.</li> <li>duration-holding_pressure: Time for which the holding pressure was kept up in s.</li> <li>temp.-cylinder-x: Mean of the temperature over one cycle at one heating band in °C.</li> <li>temp-hot_runner-x: Mean of the temperature over one cycle at one heating element in the hot runner in °C.</li> <li>temp.-defl._tool-x: Mean of the temperature over one cycle in the deflection tool at position x.</li> <li>delay-injection: Time between the press fully closing and the beginning of injection in s.</li> <li>holding_pressure-beg.-x: Holding pressure at the beginning of holding and position x in bar.</li> <li>holding_pressure-end-x: Holding pressure at the ned of holding and position x in bar.</li> <li>duration-form_stability-x: Time in s between maximum melt pressure and form stability, characterised by a pressure below 75 bar.</li> <li>max.-pressure-melt-x: Maximum pressure during the injection process at position x in bar.</li> <li>transmission-hold._press.-beg.: Ratio of pressure signal from the sensor at screw and in tool at beginning of holding.</li> <li>transmission-hold._press.-end: Ratio of pressure signal from the sensor at screw and in tool at end of holding.</li> <li>cooling_rate-hold._press.-x: Measured cooling rate at position x during the holding phase in °C/s.</li> <li>cooling_rate-cooling-x: Measured cooling rate at position x during the cooling phase in °C/s.</li> <li>tool-temp.-x: Measured tool temperature at position x in °C.</li> <li>max.-melt-temp-x: Highest measured melt temperature at position x in °C.</li> <li>demoulding-temp.-x: Measured tool temperature at position x at demoulding in °C.</li> <li>storage-standard_atmosphere: Storage duration at standard atmosphere in h.</li> <li>absoprtion_water-std.atm.: Water absorption during the storage at standard atmosphere in g.</li> <li>absoprtion_water-climate_chamber.: Water absorption during the storage in the climate chamber in g.</li> <li>storage-climate_chamber: Storage duration in climate chamber in h.</li> <li>vert._position-climate_chamber: Vertical position in the climate chamber in cm.</li> <li>air-temp.: Air temperature during manufacturing in °C.</li> <li>air-rel._humidity: Relative humidity during manufacturing in %.</li> <li>no.-production-day: Consecutive number indicating parts manufactured before the respective part.</li> <li>factor_level: Factor level in the DOE.</li> <li>prod.-date: Date of production.</li> <li>prod-time: Time of production in CEST.</li> <li>batch_number: ID in which batch the part was manufactured.</li> </ul>

Comprehensive Automatic Processing and Analysis of Adaptive Optics Flood Illumination Retinal Images

A collaborative research group has established this database to support AO-FIO image utilization and evaluation of photoreceptor detection.  Please cite the following publication when using the database: Eva Valterova, Jan D. Unterlauft, Mike Francke, Toralf Kirsten, Radim Kolar, and Franziska G. Rauscher, "Comprehensive automatic processing and analysis of adaptive optics flood illumination retinal images on healthy subjects," Biomed. Opt. Express 14, 945-970 (2023) The database can be utilized in connection with our application MATADOR for AO-FIO image registration and analysis, which is freely available on: https://github.com/evavalterova/MATADOR.git The database includes <ul> <li>over 200 flood illumination adaptive optics images of 10 normal healthy subjects. Each folder includes 10 images of the right eye (denoted by OD) and 10 images of the left eye (denoted by OS) with their preliminary determined retinal position during image acquisition.</li> <li>foveal and peripheral patches. Each consists of 40 cropped regions from the set of 200 images. In each cropped region are manually labeled positions of photoreceptors by three evaluators.</li> <li>axial lengths of 10 subjects in ".xlsx" file  </li> </ul>

opencc-zeroJun 2022View details →

dryad40/100

Three-dimensional movement of the beak during seed processing in domestic canaries

Many songbird species rely on seeds as a primary food source and the process of picking up, positioning, cracking, dehusking, and swallowing seeds is one of the most sophisticated tasks of the beak. Still, we lack understanding about how granivorous songbirds move their beak during the different phases of seed processing. In this study, we used multi-view high speed imaging to analyze the three-dimensional movement of the beak in feeding domestic canaries. Our analysis focuses on correlation of upper and lower beak, frequency of mandibulation, and direction of mandible movement in 3D space. We show that the correlation of maxilla and mandible movement differs among the phases of seed processing. Furthermore, we found that the beak moves at extremely high frequencies, up to 25 Hz, which resembles previously reported maximal syllable rates in singing canaries. Finally, we report that canaries use specific 3D mandible movements during the different phases of seed processing. Kinematic parameters do not differ between male and female canaries. Our findings provide an important biomechanical basis for better understanding the beak as a functional tool.

In-network data collection and data processing - Supplementary materials for deliverable D5.1 - EU-H2020 FET project 'Watchplant'

Supplementary material for D5.1 - Watchplant. Contains collected dataset from plant experiments with blue and red light stimuli, classification results based on statistical methods, and plots of the recorded electropotentials.

Patient and GP experiences of implementing a medication review intervention in older people with multimorbidity: process evaluation of the SPPiRE trial

Abstract Background: The SPPiRE cluster randomised controlled trial (RCT) found that a GP delivered medication review that incorporated screening potentially inappropriate prescriptions (PIP), a brown bag review and a patient priority assessment, resulted in a significant but small reduction in the number of medicines and no significant reduction in PIP. Objective: To explore the experiences of GPs and patients engaged in the SPPiRE intervention and the potential for system wide implementation. Design: Mixed methods process evaluation; quantitative data was collected from the SPPiRE intervention website and qualitative data via semi-structured interviews. Setting and participants: 51 general practices throughout Ireland, and 404 participants with multimorbidity aged ≥65 years, prescribed ≥15 medicines participated in the RCT. Qualitative data was collected with purposive samples of intervention GPs (18/26) and patients (27/208).    Methods: Quantitative data was analysed descriptively, qualitative data thematically and both were integrated using a triangulation protocol. Results: The analysis generated three themes, intervention implementation, mechanisms of action, and both were underpinned by the theme of context. One fifth of patients had no review, primarily due to insufficient GP time. The brown bag review component resulted in the most deprescription of medications. GPs felt it easier to change medicines if the patient was well known to them, and patients were generally receptive to change. GPs identified lack of integration into practice software systems and resources as barriers to future implementation. Conclusion: Consideration of implementation of successful interventions is key to informing policy and integration into clinical practice. GPs and patients viewed the intervention positively, but implementation will depend on resourcing and integration into practice software systems. Trial registration number: <a href="https://doi.org/10.1186/ISRCTN12752680">ISRCTN12752680</a>

opencc-by-4.0Jul 2022View details →

Feature Extraction Using Hidden Markov Model for a Phonetic Process

Speech is one of the primary forms of communication among humans. In real life, a dictionary is used to seek the pronunciation of a complex word; but, for computers, this look-up table is called a phonetic dictionary. A speech recognition process tags a word-utterance to its phoneme structure, thereby returning the grapheme representation. However, the speech recognition process is challenging because of the contextual relationship between words and sentences, dependent on speakers’ intentions. Further, factors influencing time, accents, noisy environment, and data security impose accuracy threats. The present research study proposes a new hybrid speech recognition model by considering three significant aspects: sound generation through phonetic representation, sound acoustics for transmission, and sound reception on how the sound is received. These steps are achieved through a speech-to-text model divided into various stages such as noise removal, speech-pause detection, feature extraction through framing, and windowing by adopting Hidden Markov Model (HMM). The implementation is performed on a phonetic tool, Praat. The robustness of the model is estimated using evaluation metrics such as f-measure and accuracy, resulting in 98% and 99% scores, respectively. Thus, the proposed approach efficiently transforms the spoken words into their corresponding text.

opencc-by-4.0Jul 2022View details →

Dataset Bottom-up approach in the assessment of environmental impacts and costs of an innovative anammox-based process for nitrogen removal

Dataset of Bottom-up approach in the assessment of environmental impacts and costs of an innovative anammox-based process for nitrogen removal J Environ Manage 2018 Nov 1;225:112-119.doi: 10.1016/j.jenvman.2018.07.070. Epub 2018 Jul 31.

dryad40/100

Decomposing niche components reveals simultaneous effects of opposite deterministic processes structuring alpine small mammal assembly

Our knowledge of community assembly dynamics under multiple stressors is limited because of opposite niche-based processes, i.e., limiting similarity and habitat filtering could simultaneously occur, masking the overall patterns. Alpine biomes provide the ideal systems to explore the influences of co-occurrence processes as these communities usually face multiple stresses such as resources limitation and habitat constraints. However, the assembly processes of mammals in alpine areas have hardly been exclusively studied. Here, we aimed to address how different processes structured small mammal communities at the tree line transition zone, which represents one of the most distinct vegetation boundaries separating alpine from montane habitats. We compiled a regional dataset including species list, phylogeny, and functional traits from field collections across 18 mountains of southwest China and complemented them with published data sources. The traits were decomposed into different niche components to determine the respective effects of specific stressors. Phylogenetic and functional diversity indices representing evolutionary history, trait space, and pairwise species distance were calculated and compared with null expectations. Linear mixed-effect models were constructed to assess the increasing or decreasing tendencies of diversity values against increasing elevation. The results showed that phylogenetic and functional richness were strongly correlated with species richness, unlike the distance-based indices which were uncorrelated with species richness. There was no evidence found to support non-random phylogenetic or overall trait patterns. However, the resource acquisition niche tended to be more overdispersed (positive slopes), while the habitat affinity niche tended to be more clustered (negative slopes) as habitats became less productive and less vegetated. We conclude that limiting similarity and habitat filtering simultaneously structure small mammal communities in alpine areas. Altogether, the present study provides vital insights into the complexity of co-occurring assembly processes by niche decomposition, and highlights the importance of considering different diversity dimensions when assessing community structure.

opencc-zeroJul 2022View details →

Data, scripts, and figures of the article: Processing weights of chickens determined by Dual-Energy X-Ray Absorptiometry. 3. Validation of prediction models

This data set contains the data, JMP scripts, and figures of the article titled "Processing weights of chickens determined by Dual-Energy X-Ray Absorptiometry. 3. Validation of prediction models" to be published in the journal Animal - Open Space.