Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
6,467
datasets available to search
ShareScore release 0.9.0
Dataset results
6,467 results for “process”
Unravelling processes between phenotypic plasticity and population dynamics in migratory birds
<p>Populations can rapidly respond to environmental change via adaptive phenotypic plasticity, which can also modify interactions between individuals and their environment, affecting population dynamics. Bird migration is a highly plastic resource-tracking tactic in seasonal environments. However, the link between the population dynamics of migratory birds and migration tactic plasticity is not well understood.</p> <p>The quality of staging habitats affects individuals' migration timing and energy budgets in the course of migration, and can consequently affect individuals' breeding and overwintering performance, and impact population dynamics. Given staging habitats being lost in many parts of the world, our goal is to investigate responses of individual migration tactics and population dynamics in the face of loss of staging habitat, and to identify the key processes connecting them.</p> <p>We started by constructing and analysing a general full-annual-cycle individual-based model with a stylized migratory population to generate hypotheses on how changes in the size of staging habitat might drive changes in individual stopover duration and population dynamics. Next, through the interrogation of survey data, we tested these hypotheses by analysing population trends and stopover duration of migratory waterbirds experiencing loss of staging habitat.</p> <p>Our modelling exercise led to us posing the following hypotheses: the loss of staging habitat generates plasticity in migration tactics, with individuals remaining on the staging habitat for longer to obtain food due to a reduction in per capita food availability. The subsequent increasing population density on the staging habitat has knock on effects on population dynamics in the breeding and overwintering stage. Our empirical results were consistent with the modelling predictions.</p> <p>Our results demonstrate how environmental change that impacts one energetically costly life history stage in migratory birds can have population dynamics impacts across the entire annual cycle via phenotypic plasticity.</p>
An automated workflow for parallel processing of large multiview SPIM recordings
<p>Selective Plane Illumination Microscopy (SPIM) allows to image developing organisms in 3D at unprecedented temporal resolution over long periods of time. The resulting massive amounts of raw image data requires extensive processing interactively via dedicated graphical user interface (GUI) applications. The consecutive processing steps can be easily automated and the individual time points can be processed independently, which lends itself to trivial parallelization on a high performance computing (HPC) cluster. Here, we introduce an automated workflow for processing large multiview, multichannel, multiillumination time-lapse SPIM data on a single workstation or in parallel on a HPC cluster. The pipeline relies on <em>snakemake</em> to resolve dependencies among consecutive processing steps and can be easily adapted to any cluster environment for processing SPIM data in a fraction of the time required to collect it.</p>
ATAC-seq processing resources for the GRCm38 (mm10) assembly of the mouse genome
<p>A collection of publicly available, but preprocessed, reference data for the analysis of ATAC-seq samples using the GRCm38 (mm10) assembly of the mouse genome using the <a href="https://doi.org/10.5281/zenodo.6323634">Ultimate ATAC-seq Data Processing & Analysis Pipeline</a> (details in the documentation on GitHub).</p>
Data sets used in "Neural network processing of holographic images"
<p>Included are the training, validation, and testing data sets for synthetic holograms (netCDF), the HOLODEC data set containing the RF07 examples (netCDF), and the two splits of manually labeled HOLODEC image tiles (numpy arrays). The source code for using the data sets can be found at https://github.com/NCAR/holodec-ml </p>
Data for "Paranormal experiences, sensory-processing sensitivity, and the priming of pareidolia".
<p>Data from a study investigating paranormal priming effects, the detection of voices in ambiguous stimuli, and the perceptual advantage of sensory-processing sensitivity. </p>
Processed MinION genome sequencing data for strains ILHA G3AG5 and ILHA G3AA5
<p>Strain G3AA5 datasets include:</p> <p>Galaxy2750, Galaxy2754, Galaxy3522, Galaxy3523, Galaxy3524, Galaxy3541</p> <p> </p> <p>Strain G3AG4 datasets include:</p> <p>Galaxy2404, Galaxy2408, Galaxy3517, Galaxy3518, Galaxy3519, Galaxy3539</p>
Supplementary material for: AIRBORNE LASER SCANNING CHANGE DETECTION FOR QUANTIFYING GEOMORPHOLOGICAL PROCESSES IN HIGH MOUNTAIN REGIONS
<p>Supplementary material for: TCII/10-AIRBORNE LASER SCANNING CHANGE DETECTION FOR QUANTIFYING GEOMORPHOLOGICAL PROCESSES IN HIGH MOUNTAIN REGIONS</p> <p>For submission of the full paper to: International Society for Photogrammetry and Remote Sensing (ISPRS) / <strong>XXIV ISPRS Congress 2022 Nice, France, 6 - 11 June 2022</strong>.</p> <p><strong>ADDITIONAL FIGURES AND MAPS</strong><br> Supplementary materials:<br> Figure S1: Classification preparation and decision tree.<br> Figure S2: 3D distance change and change offset overall map.<br> Figure S3: Geomorphological map inventoried by manual mapping.<br> Figure S4: Classified real changes of the valley area between 2006 and 2017.<br> Figure S5: Classified real changes between 2006 and 2017.</p> <p> </p> <p> </p> <p> </p>
Processed and additional data for our publication titled "Endoplasmic reticulum stress activates human IRE1α through reversible assembly of inactive dimers into small oligomers"
<p>This is an updated version of our original data archive (which can be found under the doi 10.5281/zenodo.5513025) that reflects changes we've made to the manuscript over the course of the review process and incorporates the new data we've collected since the time of the initial bioRxiv submission.</p> <p>This data archive contains all raw data EXCEPT for single-particle microscopy movies (which are deposited separately due to their size) for our paper titled "Endoplasmic reticulum stress activates human IRE1a through reversible assembly of inactive dimers into small oligomers". These raw data are stored in "non_SPT_data_final_v2.zip". Additionally, full plasmid sequences for all plasmids used in this paper are stored in GenBank format in the file "plasmid_sequences_v2.zip". Finally, this repository contains processed single-particle movies in the form of dual-color tracks from the TrackMate ImageJ plugin in XML format (file: "SPT_processed_data_and_settings_final_v2.zip").</p> <p>The processed XML tracks are organized in the same way as the raw data files in the separate repository. They are sorted into subfolders by date of acquisition first, followed by experimental conditions. To recreate the figures from the paper, follow instructions in the README.md file included with the source code repository and use the JSON settings files saved here under "analysis_settings".</p>
Processed ADCP and CTD Data for the Processes Driving Exchange at Cape Hatteras (PEACH) Program
<p>These are the hourly acoustic doppler current profiler (ADCP) and conductivity-temperature-depth (CTD files from the ten moored bottom frames and buoys deployed as part of the PEACH program. Level 2 data have been quality-controlled and gridded to an hourly time-base. A technical report describing the details of processing and moored aspects of the experiment can be found in: Haines, S., <em>et al.</em> (2022) Mooring Data Report for the Processes driving Exchange at Cape Hatteras (PEACH) Project. (doi:10.5281/zenodo.6380851). </p>
Processed Buoy and Bulk Heat Flux Data for the Processes Driving Exchange at Cape Hatteras (PEACH) Program
<p>These are the hourly buoy and bulk heat flux from National Data Buoy Center (NDBC) buoys and the two buoys deployed as part of the PEACH program. Level 2 data have been quality-controlled and gridded to an hourly time-base. A technical report describing the details of processing and the moored aspects of the experiment can be found in: Haines, S., et al. (2022) Mooring Data Report for the Processes driving Exchange at Cape Hatteras (PEACH) Project. (doi:10.5281/zenodo.6380851).</p>
Does the social distancing measures impact collaboration in software processes?
<p>Context: Social distancing measures to reduce the impacts of the COVID-19 pandemic bring challenges for several organizations<br> and their Information Systems (IS). Problem: Social distancing were suddenly implemented, with no adequate planning. Furthermore, there is not a clear understanding of the impacts of social distancing measures on the software development teams’ work. Solution: This study aims to identify the presence and impacts of social distancing on collaboration between people, as well as<br> on activities and technologies used in software development, from the perspective of professionals who work in software development teams. IS Theory: The research was developed under the aegis of the Team Resilience Theory. Method: A field study was conducted based on structured interviews and qualitative analysis. Results: In general, it was observed no impact on the software processes activities, although their performance was affected. It was also observed that the impact on the collaboration dynamics in software development was perceived in different ways, by several team members. This study identified the most common tools used by organizations, as well as the benefits and challenges of collaboration in software development after social distancing measures. Contribution: The impacts of social distancing on collaboration in software development were identified, reinforcing the Team Resilience Theory and similar study conducted in the beginning of the COVID-19 pandemic. This study contributes to the Grand Research Challenge "Systemic and Socially Aware Perspective for Information Systems".</p>
Processed 12S fish eDNA sequences
<p>This dataset contains fish eDNA sequences from the 12S mitochondrial gene. eDNA has been collected in 100 stations, 25 sites, in 5 tropical marine regions. Data collection was performed between 2017 and 2020.</p> <p>Raw sequences have been processed through a bioinformatic pipeline, merged, demultiplexed, dereplicated, clustered as OTUs (operational taxonomic units) and assigned to a taxa.</p> <p>The codes to analyse the data can be found at : <a href="https://github.com/virginiemarques/Global_eDNA">https://github.com/virginiemarques/Global_eDNA</a>.</p> <p>The data are used to study the patterns of tropical fish distributions across spatial scales, using two different methodologies, eDNA and visual census.</p>
Pre and post- processing files and scripts for the paper 'The effect of local shear stress on glacier sliding'
<p>The folder contains:</p> <ul> <li>A set of .F90 to be compiled in order to run the simulations with Elmer Ice</li> <li>A python script called <em>newmodel_2a.py</em> for generating the complete analytical model shown in the appendix</li> <li>scripts for post-processing the results. The paths have to be edited. They read the .dat files, extract the main variables: u_b, \tau_b, N and compute C to produce the friction law plots. It also computes the ratio Af/As and produces the respective plots</li> <li>A compressed folder called<em> results</em> with the outputs of the main results. They include the results (.dat file) and the .sif files to run the simulations with FEM software Elmer/Ice. Their names are already included in a small subroutine in the postprocessing script</li> <li>A compressed folder called <em>comparison </em>with the outputs of the comparison between models. They include the results (.dat file) and the .sif files to run the simulations with FEM software Elmer/Ice, as well as the complete solution for the new models (in order to extract \tau_f for the sandpaper model we need the complete flow solution).</li> </ul>
Processed data for MethylBoostER: an XGBoost model to classify kidney cancer subtypes
<p>This is a repository containing processed data for MethylBoostER, an XGBoost model that classifies kidney cancer subtypes. The open-source code can be found here: https://github.com/ss-lab-cancerunit/MethylBoostER.</p>
Database with characterization factors for material flow accounting (material footprint) for process-based LCA for ecoinvent 3.7.1 and 3.8 in openLCA
<p>This dataset contains extend material-specific material footprint indicators (raw material input RMI and total material requirement TMR) compiled by Mostert and Bringezu (2019) to process-based LCA in form of the databases ecoinvent 3.7.1 and 3.8 (Wernet et al. 2016) with the openLCA software. The scope of the material flows covered here largely fits to the materials list used for the Mineral Resource Scarcity indicator of the ReCiPe life cycle impact assessment (LCIA) method (Huijbregts et al. 2016).</p>
Simulation for "Asymptotic Behavior for a Time-Inhomogeneous Stochastic Differential Equation Driven by an α-Stable Lévy Process"
<p>The code and the video are related to the article G.Mihai, and E. Luirard. « Asymptotic Behavior for a Time-Inhomogeneous Stochastic Differential Equation Driven by an α-Stable Lévy Process », available on http://arxiv.org/abs/2112.07287.</p>
Supplementary material for "Language and User Requirements for Business Process Simulation - A Systematic Literature Review"
<p>This is ment as a supplementary material for the Publication "Language and User Requirements for Business Process Simulation - A Systematic Literature Review". It contains all sources that were used for the creation of the requirements broken down for each one.</p>
Effect of processing and microstructural properties of chickpea-flours on in vitro digestion and appetite sensations
<p>The data used for the graphs in the paper: </p> <p><strong>Pälchen, Katharina</strong>; Bredie, Wender, L.P.; Duijsens, Dorine; de Castilo, Alan; Hendrickx, Marc; Van Loey, Ann; Raben, Anne; Grauwet, Tara; 2022. Effect of processing and microstructural properties of chickpea-flours on <em>in vitro</em> digestion and appetite sensations. Food Research International, 111245.</p> <p><a href="https://doi.org/10.1016/j.foodres.2022.111245">https://doi.org/10.1016/j.foodres.2022.111245</a></p> <p> </p>
AR6 WG3 Plots and Processing
<p>Repository reproducing plots and processing used in AR6 WG3 made by Zebedee Nicholls, Malte Meinshausen and Jared Lewis.<br> <br> For questions and comments, please contact Zebedee Nicholls (zebedee.nicholls@climate-energy-college.org), Jared Lewis (jared.lewis@climate-resource.com) and Malte Meinshausen (malte.meinshausen@unimelb.edu.au). For full details, please see https://gitlab.com/magicc/ar6-wg3-plots-and-processing.</p>
Genome graphs detect human polymorphisms in active epigenomic states during influenza infection: code and processed data
<p>Manuscript, figure, and analysis code and processed data for the Groza et al (2022) preprint.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.