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10,735 results for “dependability”
The dataset for the manuscript entitled "SUPHRE: A reactive transport model with unsaturated and density-dependent flow"
<p>This is the dataset for the manuscript entitled "SUPHRE: A reactive transport model with unsaturated and density-dependent flow".</p>
Phase separation of SARS-CoV-2 nucleocapsid protein with TDP-43 is dependant on C-terminus domains
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Pathogenic LRRK2 causes age-dependent and region-specific deficits in ciliation, innervation and viability of cholinergic neurons_1
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The commit history of the dependent libraries and the associated pull requests related to dependency removal.
<p>The dataset is the commit history within a specific period and the matched pull requests corresponding to the commits.</p>
Raw data from "On the lineshapes of temperature-dependent transport measurements of superconductors under pressure"
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Data and Code for "Detecting context-dependence in the expression of life history tradeoffs"
<p>This repository hosts the data, R scripts, and Stan models needed to reproduce results and figures from the article <em>Detecting context-dependence in the expression of life history tradeoffs.</em></p> <p>See the README file for a description of the different files contained in this repository.</p>
Arsenic immobilization and greenhouse gas emission depend on quantity and frequency of nitrogen fertilization in paddy soil
<p><span>Nitrogen (N) fertilization in paddy soils decreases arsenic mobility and methane emissions. However, it is unknown how quantity and frequency of N fertilization affects the interlinked redox reactions of iron(II)-driven denitrification, iron mineral (trans-)formation with subsequent arsenic (im-)mobilization, methane and nitrous oxide emissions, and how this links to microbiome composition. Thus, we incubated paddy soil from Vercelli, Italy, over 129 days and applied nitrate fertilizer at different concentrations (control: 0, low: ~35, medium: ~100, high: ~200 mg N kg<sup>-1 </sup>soil<sup>-1</sup>) once at the beginning and after 49 days. In the high N treatment, nitrate reduction was coupled to oxidation of dissolved and solid-phase iron(II), while naturally occurring arsenic was retained on iron minerals due to suppression of reductive iron(III) mineral dissolution. In the low N treatment, 40 µg L<sup>-1</sup> of arsenic was mobilized into solution after nitrate depletion, with 69% being immobilized after a second nitrate application. In the non-fertilized control, concentrations of dissolved arsenic were as high as 76 µg L<sup>-1</sup>, driven by mobilization of 36% of the initial mineral-bound arsenic. Generally, N fertilization led to 1.5-fold higher total GHG emissions (sum of CO<sub>2</sub>, CH<sub>4</sub> and N<sub>2</sub>O as CO<sub>2</sub> equivalents), 158-fold higher </span><span>N<sub>2</sub>O</span><span>, and 7.5-fold lower CH<sub>4</sub> emissions compared to non-fertilization. On day 37, <em>Gallionellaceae</em>, <em>Comamonadaceae</em> and <em>Rhodospirillales</em> were more abundant in the high N treatment compared to the non-fertilized control, indicating their potential role as key players in nitrate reduction coupled to iron(II) oxidation. The findings underscore the dual effect of N fertilization, immobilizing arsenic in the short-term (low/medium N) or long-term (high N), while simultaneously increasing N<sub>2</sub>O and lowering CH<sub>4</sub> emissions. This highlights the significance of both the quantity and frequency of N fertilizer application in paddy soils. </span></p>
Data for Voltage-dependent G-protein Regulation of CaV2.2 (N-type) Channels
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What do package dependencies tell us about semantic versioning?
<p>This is the replication package for our paper on dependency constraints and semantic versioning.</p> <p>This package requires Python 3.5+, and all the dependencies listed in *requirements.txt*. They can be automatically installed using *pip install -r requirements.txt*.</p> <p>The figures and results that are contained in the paper could be obtained by running the corresponding notebooks with Jupyter (*jupyter lab* at the root of this package).</p> <p>Here is a short description of what is contained in this package:</p> <p> * Raw datasets (*data-raw* folder)<br> This folder "should" contain the raw data. Because of their size, and because we provide the required files in the *data* folder, you need to download *Libraries.io-open-data-1.2.0.tar.gz* from libraries.io. Extract *versions.csv* and *dependencies.csv* from this archive, and run the *convert.py* script with Python. The script will extract the data related to the four considered ecosystems into *{ecosystem}-(versions|dependencies).csv.gz*.<br> <br> * Datasets (*data* folder)<br> This folder contains the data that are required for the analyses. They are provided in this replication package, but can be automatically generated from the ones provided in *data-raw* folder by running the *versions.py* and *dependencies.py* scripts. These scripts collect and identify dependency constraints.<br> <br> * Notebooks (*notebooks* folder)<br> This folder contains the notebooks that were used to generate all the results and figures of the paper. File *Constraint differences.ipynb* contains examples of constraints and the corresponding equivalent intervals. The main notebook is *Semver compliance.ipynb* and contains all the necessary material.<br> <br> * Python modules (*constraints* folder)<br> This folder contains the necessary Python modules to run "everything". File *parser.py* contains the 4 dependency constraint parsers. File *versions.py* defines data model. File *constraints.py* contains routines to identify constraint types. The *tool.py* script is a prototype of the tool explained in the paper (and should be executed from the root directory, e.g. *python -m constraints.tool*). All these modules/scripts/tools depend on *python-interval* (see *requirements.txt*). The three remaining files (*test_constraints.py*, *test_parser.py* and *test_versions.py*) contain unit tests. They are expected to be executed with *pytest*.</p>
Data for: Akhund-Zade et al The effect of environmental enrichment on behavioral variability depends on genotype, behavior, and type of enrichment
<p>Data and analysis scripts for the manuscript entitled "The effect of environmental enrichment on behavioral variability depends on genotype, behavior, and type of enrichment" by Jamilla Akhund-Zade et al. </p>
Age-Dependent Pulmonary Reactivity to House Dust Mite Allergen: A Model of Adult-Onset Asthma?
<p>3mo and 9mo mice treated with HDM or PBS. Right lung lavages and fixed in 4% PFA. Table represents average IHC scores for 6 different antibodies: IFN-gamma, IL-4, IL-13, IL-17A, Eotaxin-1, CD-4</p>
InCLosure Code for Enclosures of Real Functions: Supplementary Material for Chapter "Universal Intervals: Towards a Dependency-Aware Interval Algebra"
<p>InCLosure Code for Enclosures of Real Functions: Supplementary Material for Chapter "Universal Intervals: Towards a Dependency-Aware Interval Algebra", In S. Chakraverty, editor, Mathematical Methods in Interdisciplinary Sciences. John Wiley & Sons, Hoboken, New Jersey, March, 2020. ISBN: 9781119585503.</p>
Frequency-dependent groundwater response to earthquakes
<p>Water level, seismic wave, and rainfall data used in the study</p>
Supplementary material 1 from: Amatangelo KL, Stevens L, Wilcox DA, Jackson ST, Sax DF (2018) Provenance of invaders has scale-dependent impacts in a changing wetland ecosystem. NeoBiota 40: 51-72. https://doi.org/10.3897/neobiota.40.28914
Supplementary material 1 from: Amatangelo KL, Stevens L, Wilcox DA, Jackson ST, Sax DF (2018) Provenance of invaders has scale-dependent impacts in a changing wetland ecosystem. NeoBiota 40: 51-72. https://doi.org/10.3897/neobiota.40.28914
Temperature dependent inverse spin Hall effect in Co/Pt spintronic emitters
<div> <div>Data, figure and code for the publication “Temperature dependent inverse spin Hall effect in Co/Pt spintronic emitters”. See README.md for file descriptions.</div> </div>
FIG. 3 in Sex-Dependent Cold Tolerance at the Northern Invasive Range Limit of Gambusia affinis on Cape Cod, Massachusetts
FIG. 3. Lower (left) and upper (right) reported thermal tolerances for Gambusia affinis and Gambusia holbrooki. Each point and line represent the mean and range, respectively, for a particular population, with lethal and non-lethal assays distinguished. Significant variation in reported values for a given population is typically due to varied acclimation temperatures and separate testing on males and females. Gray lines show extrapolated 50% lower thermal tolerance predictions and standard errors for average males and females from our study. Letters indicate sexes included, and numbers refer to studies in Table S1 (see Data Accessibility).
FIG. 2 in Sex-Dependent Cold Tolerance at the Northern Invasive Range Limit of Gambusia affinis on Cape Cod, Massachusetts
FIG. 2. Estimated lower temperature of 50% loss of response to stimulus (LRT50) and 50% mortality (LT50) for male and female Gambusia affinis of various sizes from the Quashnet River, Massachusetts, USA. Thinner, lighter lines represent 6 one standard error. Note that estimates below 1.58C are extrapolations beyond the range of our data.
FIG. 1 in Sex-Dependent Cold Tolerance at the Northern Invasive Range Limit of Gambusia affinis on Cape Cod, Massachusetts
FIG. 1. Proportion of mosquitofish that responded to a stimulus and maintained orientation while experiencing progressively decreasing temperature. Points show average proportions for all females and males. Lines show model predictions: dark lines for fish of average mass; thin, light lines for fish at the 5% lower range of fish mass; and thick, light lines for fish at the 95% range of fish mass (calculated separately for each sex). Dashed lines show model extrapolation between 1.5 and 08C.
FIG. 2 in Density-Dependent Fitness Attributes and Carry-Over Effects in Crawfish Frogs (Rana areolata), a Species of Conservation Concern
FIG. 2. Field data showing effects of juvenile density on juvenile body size (A, C) and time to metamorphosis (E), and breeding adult size (B, D) and survivorship (F). Lines reflect regression calculations. While suggestive, none of these trends is significant except for the adult SVL data shown in B.
FIG. 4 in Sex-Dependent Cold Tolerance at the Northern Invasive Range Limit of Gambusia affinis on Cape Cod, Massachusetts
FIG. 4. Daily temperature ranges for Quashnet River surface water from three thermistors over four years. Data from Briggs et al. (2018). Lines and bars show mean 6 standard error 50% lower thermal response (LRT50) and lower thermal tolerance (LT50) predictions for average males and females from our study.
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.