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1,481 results for “data processing”
Data from: Disentangling invasion processes in a dynamic shipping - boating network
The relative importance of multiple vectors to the initial establishment, spread, and population dynamics of invasive species remains poorly understood. This study used molecular methods to clarify the roles of commercial shipping and recreational boating in the invasion by the cosmopolitan tunicate, Botryllus schlosseri. We evaluated i) single vs. multiple introduction scenarios, ii) the relative importance of shipping and boating to primary introductions, iii) the interaction between these vectors for spread (i.e., the presence of a shipping-boating network), and iv) the role of boating in determining population similarity. Tunicates were sampled from 26 populations along the Nova Scotia, Canada, coast that were exposed to either shipping (i.e., ports), or boating (i.e., marinas) activities. A total of 874 individuals (~30 per population) from 5 ports and 21 marinas was collected and analyzed using both mitochondrial cytochrome c oxidase subunit I gene (COI) and 10 nuclear microsatellite markers. The geographical location of multiple hotspot populations indicates that multiple invasions have occurred in Nova Scotia. A loss of genetic diversity from port to marina populations suggests a stronger influence of ships than recreational boats on primary coastal introductions. Population similarity analysis reveals a clear dependence of marina populations on those that had been previously established in ports and connectivity due to a boating network better explains patterns in population similarities than does natural spread. We conclude that frequent primary introductions arise by ships and that secondary spread occurs gradually thereafter around individual ports, facilitated by recreational boating.
Data from Schmitt et al. 2021: Preattentive processing of visually guided self-motion in humans and monkeys. Progress in Neurobiology
<p><strong>Dataset associated with the following publication:</strong></p> <p>Constanze Schmitt, Jakob C.B. Schwenk, Adrian Schütz, Jan Churan, André Kaminiarz, Frank Bremmer.<br> Preattentive processing of visually guided self-motion in humans and monkeys. Progress in Neurobiology,<br> 2021,102117. https://doi.org/10.1016/j.pneurobio.2021.102117. Published 2021 July 2.</p> <p><strong>Description of dataset:</strong></p> <p>In our study we presented an optic flow stimulus simulating forward self-motion across a ground plane in an oddball EEG paradigm to 12 human participants and 2 macaque monkeys. We simulated two different headings (forward-left vs. forward-right) presented either as standard or deviant trials and tested for the occurrence of a visual mismatch negativity (vMMN) by comparing the visual-evoked potentials (VEPs). </p> <p>Human data:</p> <p>The dataset contains the preprocessed VEPs of all 12 human participants already averaged over all trials per participant. It contains data from all electrodes used for analysis (P1, P2, O1, O2, PO3, PO4, CP1, CP2) divided into data recordings in standard ('_std') or deviant ('_odd') trials. Each of these files consists of four subfiles representing the presented combinations of heading (forward to the right: '_r' or forward to the left: '_l') and attention condition (attention towards fixation target: 'fix' or attention towards the ground plane: 'plane'). The data matrices in these subfiles are sorted as [participants x time-points].</p> <p>Monkey data:</p> <p>Each .mat file contains the preprocessed VEPs from one monkey ('data'), the corresponding electrode labels ('elec') and the common time vector in seconds ('time'). The data struct contains VEPs for left- and rightwards heading in separate subfields, which again contain standard ('stan') and deviant ('odd') presentations of that heading. Within each subcondition, the actual data matrices are sorted as [electrodes x time-points x trials]. Here, the numbering of electrodes corresponds to the electrode labels contained in the 'elec' variable.</p>
Data from: Consequences of aboveground invasion by non-native plants into restored vernal pools do not prompt changes in belowground processes
<p>Given the frequent overlap between biological plant invasion and ecological restoration efforts it is important to investigate their interactions to sustain desirable plant communities and modify long-term legacies both above and belowground. To address this relationship, we used natural reference, invaded, and constructed vernal pools in the Central Valley of California to examine potential changes in direct and indirect plant effects on soils associated with biological invasion and active restoration ecosystem disturbances. Our results showed that through a shift in vegetation composition and changes in the plant community tissue chemistry, invasion by non-native plant species has the potential to transform plant inputs to soils in vernal pool systems. In particular, we found that while non-native litter decomposition was driven by seasonal and interannual variability, associated with changes in precipitation, the overall decomposition for non-native litter was drastically lower than native species. This shift has important implications for long-term alterations in plant-based inputs to soils in a negative feedback to nutrient cycling. Moreover, these results were independent of historic active restoration efforts. Despite the consistent shift in plant litter decomposition rates and community composition, we did not detect associated shifts in belowground function associated with invasion by non-native plants. Instead, soil C:N ratios and microbial biomass did not differ between invaded and reference naturally occurring pools but were reduced in the manipulated restored pools independent of invasion levels. Our results suggest that while there is an observed invasive positive feedback aboveground, this trajectory is not necessarily represented belowground and restoration legacies were still dominant ten years after practices were applied. Restoration practices that limit invasive plant feedbacks and account for soil legacy recovery, therefore offer the best solution for disturbed ephemeral ecosystems.</p>
Data for "Learning from mistakes - Assessing the performance and uncertainty in process-based models"
<p><strong>Data for the publication "Learning from mistakes - Assessing the performance and uncertainty in process-based models"</strong></p> <p>The corresponding python code can be found at <a href="http://github.com/MoritzFeigl/Learning-from-mistakes">github.com/MoritzFeigl/Learning-from-mistakes</a>.</p> <p>This dataset contains data of hydrological and meteorological observations of the Fortress Ski Area (Alberta, Canada) for August 8-26, 2019. It consists of input and output files for the HFLUX models calibration period (C) and the validation periods (V, V3). The input files containes additional data used in the learning from mistakes workflow. The meteorological data and part of the hydrological data were provided by John Pomeroy and the University of Saskatchewan’s Cold Water Laboratory.</p>
Data and analysis for "A process-conditioned and spatially consistent method for reducing systematic biases in modeled streamflow"
<p>This contains all of the necessary data and code to reproduce the results of the manuscript submitted to the Journal of</p> <p>Hydrometeorology entitled "A process-conditioned and spatially consistent method for reducing systematic biases in modeled streamflow"</p>
Data from: Parallel cognitive processing streams in human prefrontal cortex: parsing areal-level brain network for response inhibition
<p>Multiple cognitive processes are recruited to achieve adaptive behavior. However, it is poorly understood how such cognitive processes are implemented in temporal cascades of human cerebral cortical areas as processing streams to achieve behavior. In the present study, we identify cortical processing streams for response inhibition and examine relationships among the processing streams. Functional magnetic resonance imaging (MRI) and time-resolved single-pulse transcranial magnetic stimulation (TMS) reveal three distinct critical timings of transient disruption in the functionally essential cortical areas that belong to two distinct cerebrocortical networks. Furthermore, single-pulse TMS following suppression of the ventral posterior inferior frontal cortex (vpIFC) with repetitive TMS reveals information flow from the vpIFC to the presupplementary motor area (preSMA) within the same network but not to the dorsal posterior inferior frontal cortex (dpIFC) across different networks. These causal behavioral effects suggest two parallel processing streams (vpIFC-preSMA versus dpIFC-intraparietal sulcus) that act concurrently during response inhibition.</p>
Franck-Hertz experiment , 178 C processed data set
<p>For PHYS 3220 lab, <strong>Franck-Hertz experiment for Mercury, 178 C processed data set.</strong></p> <p>An experiment was conducted on 24th September 2021 at York University. </p>
Cascading rupture process of the 2021 Maduo, China earthquake revealed by the joint inversion of seismic and geodetic data
<p>The coseismic Sentinel-1 line-of-sight (LOS) displacements, strong-motion and teleseismic waveforms used in the joint inversion of the source rupture process for the 2021 Maduo, China earthquake are included in this repository.</p>
Processed Data for Cell type-specific aging clocks to quantify aging and rejuvenation in regenerative regions of the brain
<p>Seurat objects for data accompanying the publication "Cell type-specific aging clocks to quantify aging and rejuvenation in regenerative regions of the brain".</p> <p>Preprint available at <a href="https://doi.org/10.1101/2022.01.10.475747">https://doi.org/10.1101/2022.01.10.475747</a></p> <ul> <li>multi_intergrated_seurat_Dec2020.rds is the data from the SVZ of the cohort of 28 mice across different ages</li> <li>pb_combined.rds is the data from the SVZ of both heterochronic parabiosis mouse cohorts</li> <li>Dulken_svz_celltypes_2019-01-31.rda is the data associated with <a href="https://doi.org/10.1038/s41586-019-1362-5">https://doi.org/10.1038/s41586-019-1362-5</a></li> </ul> <p> </p>
Raw data and processing code for resilient supercurrent
<p>The raw data, extracted data, data analysis codes and figure plotting codes for resilient supercurrent</p>
Processed Single-cell RNA-seq Data for Exercise Rejuvenation Intervention on Mouse Subventricular Zone
<p>Exercise single-cell RNA-seq data of mouse subventricular zone (in processed Seurat object) used in the publication "Cell type-specific aging clocks to quantify aging and rejuvenation in regenerative regions of the brain" (preprint available at <a href="https://doi.org/10.1101/2022.01.10.475747">https://doi.org/10.1101/2022.01.10.475747</a>).</p>
Intermediate data belonging to "Process-based climate change assessment for European winds using EURO-CORDEX and global models"
<p>This dataset contains the intermediate results of Wohland (2022) that are needed to redo the analysis und produce the figures. It allows to bypass those steps that rely on access to the supercomputers at the German Climate Computing Centre (DKRZ). When using this data in academic work, please reference</p> <blockquote> <p>Jan Wohland, Process-based climate change assessment for European winds using EURO-CORDEX and global models, Environmental Research Letters (provisionally accepted on 28/11/2022), 2022</p> </blockquote> <p><strong>Using this data to reproduce results</strong></p> <p>The data can be used together with the code provided in https://github.com/jwohland/kliwist_modelchain</p> <p>In the above mentioned github repository, there is a `run_all.py` script that repeats the analysis presented in Wohland (2022). After downloading and extracting this data, you can ignore the steps under "calculations", and begin with "plots".</p> <p><strong>Underlying data</strong></p> <p>The dataset draws on output from the CMIP5, CMIP6 and EURO-CORDEX initiatives. I thank the climate modeling groups for making their data openly available. In particular, I acknowledge the World Climate Research Programme’s Working Group on Regional Climate, and the Working Group on Coupled Modelling, former coordinating body of CORDEX and responsible panel for CMIP5. I also acknowledge the Earth System Grid Federation infrastructure an international effort led by the U.S. Department of Energy’s Program for Climate Model Diagnosis and Intercomparison, the European Network for Earth System Modelling and other partners in the Global Organisation for Earth System Science Portals (GO-ESSP). I also acknowledge the World Climate Research Programme, which, through its Working Group on Coupled Modelling, coordinated and promoted CMIP5 and CMIP6.</p> <p><strong>Funding</strong></p> <p>This work is part of the project "The influence of climate change on wind energy site assessments – KliWiSt" funded by the German Federal Ministry for Economic Affairs and Climate Action (BMWK).</p> <p><strong>References to raw data journal articles</strong></p> <blockquote> <p>Jacob, D. <em>et al.</em> EURO-CORDEX: new high-resolution climate change projections for European impact research. <em>Reg Environ Change</em> <strong>14</strong>, 563–578 (2014).</p> </blockquote> <blockquote> <p>Taylor, K. E., Stouffer, R. J. & Meehl, G. A. An Overview of CMIP5 and the Experiment Design. <em>Bull. Amer. Meteor. Soc.</em> <strong>93</strong>, 485–498 (2012).</p> </blockquote> <blockquote> <p>Hurtt, G. C. <em>et al.</em> Harmonization of land-use scenarios for the period 1500–2100: 600 years of global gridded annual land-use transitions, wood harvest, and resulting secondary lands. <em>Climatic Change</em> <strong>109</strong>, 117–161 (2011).</p> </blockquote>
Processed data used for spatial analysis of DMD mouse models
<p>This repository contains seurat objects and .H5AD files that were used in the analysis described in the paper titled <strong>"Spatial transcriptomics reveal markers of histopathological changes in Duchenne muscular dystrophy mouse models"</strong> Authors: L.G.M. Heezen, T. Abdelaal, M. van Putten, A. Aartsma-Rus, A. Mahfouz and P. Spitali</p> <p>It contains datafiles obtained from spatial transcriptomics (Visium, 10x Genomics) experiments on skeletal muscle samples from two wildtypes: C57BL10 and DBA/2J and two DMD mouse models: mdx and D2-mdx. All ten weeks old male mice, 10micron thick sections of the quadriceps.</p>
Pre-processed radial wind: sample data
<p>Sample data for testing and developing wind retrievals. Each file contains one hour of pre-processed (merged) WindCube observations.</p>
Processing code and data for ERA5 analysis
<p>Data, processing code, and instructions for ERA5 analysis</p>
Data for: Foster children's perspectives on participation in child welfare processes
<p>The objective of this meta-synthesis was to systematically synthesise qualitative research that explores foster children's perspectives on participation in child welfare processes. Searches were conducted in Medline (OVID), Embase, PsycINFO, and Social Science Citation Index. Children in non-kinship foster care in any setting (high-income, middle-income, low-income countries) who self-reported their experiences of care (removal from home, foster family processes, placement breakdown) were eligible for inclusion. Selected studies took place in 11 high-income countries. A total of 8436 citations were identified and 25 articles were included in this meta-synthesis. Studies summarized the views of 376 children. Children had been in foster care for between two weeks and 17 years. Findings synthesize 'facets' of children's participation (e.g., being asked vs making decisions), as well as children's perceived barriers and facilitators to participation. One main priority for children was the quality of their relationships, especially in terms of values (e.g., fairness, honesty, inclusivity). No one way of participating in child welfare processes is better than another, as some children more clearly expressed a desire for passive listening roles and others indicated a desire for active roles in decision-making. However, meaningful adults in foster children's lives have a responsibility to act in a way that strengthens the emphasis on children's needs and voices.</p>
ALL processed data of quantification of Total, viable and VC population
<p>Processed data set of qPCR, PMA-qPCR and agar enumeration of the article. These data are sorted according to the D2O concentration used (0%, 25%, 50% or 75%), and according to the incubation time</p>
Laminated glass mapping data: Laminated glass collected and processed
<p>Denuo in representation of FERVER (FERVER, the European Federation of Glass Recyclers) is responsible in the leading of the mapping of PVB. By developping an online survey with specific questions on the collection and proccessing of laminated glass from the construction and/or automotive sector, the aim is to give a clear illustration of the PVB waste from laminated glass all over Europe and its potential for recycling. In this context, this dataset shows the quantity of laminated glass collected and processed by the surveyed companies</p>
Data from: Comparative studies on water- and vapor-based hydrothermal carbonization: process analysis
<p>Hydrothermal carbonization (HTC) reactor systems used to convert wet organic wastes into value-added hydrochar are generally classified in the literature as liquid water-based (HTC) or vapor-based (VTC). However, the distinction between the two is often ambiguous. In this paper, we theoretically developed models for predicting reactor pressure, volume fraction of liquid water, and water distribution between phases as a function of temperature.</p>
Post-processed CTD Near-full-depth Data at ER-0121 Site
<p>This dataset consists of post-processed CTD near-full-depth data acquired between 1999 and 2003 at the ER-0121 site (36° 18’ N, 16° 6’ E) in the Ionian Sea (Mediterranean Sea). Original raw data were provided by Giorgio Riccobene and Antonio Capone. The CTD profiles were collected in the framework of the Cubic Kilometre Neutrino Telescope (KM3NeT) project (Katz, 2006; Rubino et al., 2012). Specifically, they were acquired during EMTEC cruises (April–May 1999), SINAPSI-4 cruise (March–April 2002), and Poseidon Cruise 298 (May 2003).</p> <p><strong>References:</strong><br> Katz, U. F. (2006). KM3NeT: Towards a km3 Mediterranean neutrino telescope. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 567(2), 457–461.<br> Rubino, A., Falcini, F., Zanchettin, D., Bouche, V., Salusti, E., Bensi, M., Riccobene, G., De Bonis, G., Masullo, R., Simeone, F., Piattelli, P., Sapienza, P., Russo, S., Platania, G., Sedita, M., Reina, P., Avolio, R., Randazzo, N., Hainbucher, D., & Capone, A. (2012). Abyssal undular vortices in the Eastern Mediterranean basin. Nature Communications, 3(1), 834.<br> Riccobene, G., Capone, A., Aiello, S., Ambriola, M., Ameli, F., Amore, I., ... & Vicini, P. (2007). Deep seawater inherent optical properties in the Southern Ionian Sea. Astroparticle Physics, 27(1), 1-9.<br> Adrian-Martinez, S., Ageron, M., Aharonian, F., Aiello, S., Albert, A., Ameli, F., ... & Markou, C. (2016). Letter of intent for KM3NeT 2.0. Journal of Physics G: Nuclear and Particle Physics, 43(8), 084001.<br> Migneco, E., Aiello, S., Aloisio, A., Ameli, F., Amore, I., Anghinolfi, M., ... & Wischnewski, R. (2008). Recent achievements of the NEMO project. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 588(1-2), 111-118.</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.