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Figure-2. Calibration curve of hydroxyproline solution at 559-nm
<p>Figure-2. Calibration curve of hydroxyproline solution at 559-nm</p>
Table 8. Calculation of regression equation of hydroxyproline standard solution At λ = 559 nm
<p>Table 8. Calculation of regression equation of hydroxyproline standard solution At λ = 559 nm</p>
Table 9. Result of absorbance measurement of hydroxyproline standard solution at = 559 nm
<p>Table 9. Result of absorbance measurement of hydroxyproline standard solution at = 559 nm</p>
Data for: The Neonicotinoid Imidacloprid Impairs Sucrose Solution Consumption, Learning and Locomotor Activity Levels In Bumblebees (Bombus Terrestris)
<p># README</p> <p>The following files are for creating the figures from the paper: </p> <p>## `plot_flowervisits_nectar.ipynb`</p> <p>Jupyter notebook that creates the figures concerning flower visits, nectar consumption and the proportion of empty honeypots.</p> <p>## `plot_activity.py`</p> <p>Python script that takes trajectory fragments from video analysis and computes the locomotor activity level through making histograms of bumblebee speeds. Makes two figures that are equivalent to the figure on locomotor activity in the paper.</p> <p>## `statistical analysis.py`</p> <p>R markdown notebook that performs all the hypothesis testing for the paper.</p> <p>## Data</p> <p>These files contain the data, and are located in the folder called `data`. </p> <p>`activity/activityproportions.csv` contains the computed locomotor activity level for easy plotting.</p> <p>`boldata/boldata.csv` contains data about the nectar bag weight before and after experiment and the counted number of empty and full honeypots. Used by `plot_flowervisits_nectar.ipynb`</p> <p>`flower_data/flowerData.csv` contains the computed number of visits to blue and yellow flowers per hive for easy plotting.</p> <p>`humlevideo_production/*/traj*_trajectories*.csv` contains constructed trajectories from all experiments seen from both cameras. These are being used by the script `plot_activity`.</p> <p>`humlevideo_production/*/traj*.json` contains data about the occurence of bees on flowers in each frame in each experiment.</p> <p>`landinger_csv` contains data about landings, that have been extracted from the `humlevideo_production/*/traj*.json` files. Used by `plot_flowervisits_nectar.ipynb`.</p> <p> </p>
HADES: An NFV solution for energy-efficient placement and resource allocation in heterogeneous infrastructures. Study dataset
<p>The publication and research associated with this dataset are currently under review in the Journal of Network and Computer Applications.</p> <p>In that research, we present HADES, an NFV solution for energy-efficient placement and resource allocation in heterogeneous infrastructures. HADES is an OSM (Open Source MANO) extension that allows the configuration of virtual network functions and their subsequent resource allocation and deployment at the edge, minimizing energy consumption and ensuring the quality of service.</p> <p>This dataset contains the following:</p> <ul> <li>1 CSV file with execution time results of the iTAREA module for (60) different problem sizes and (3) execution environments.</li> <li>1 CSV file with energy consumption results of HADES deployments and other 5 assignment policies: First-fit, Random-fit, Fastest-fit, Best-fit, and kube-scheduler (the Kubernetes’ assignment policy).</li> </ul> <p>This work is supported by the European Union's H2020 research and innovation programme under grant agreement DAEMON 101017109 and by the projects co-financed by FEDER funds LEIA UMA18-FEDERJA-15 and IRIS PID2021-122812OB-I00 (MCI/AEI).</p>
Data for GECCO2023 Paper "Pareto Local Optimal Solutions Networks with Compression, Enhanced Visualization and Expressiveness"
<p><strong>Data for Paper "Pareto Local Optimal Solutions Networks with Compression, Enhanced Visualization and Expressiveness"</strong></p> <ul> <li><strong>instances.tar.xz</strong> contains 𝜌mnk-landscape instances</li> <li><strong>metrics.csv</strong> contains the (C)PLOS-net metric-values</li> <li><strong>performance.csv</strong> contains the performance of the different algorithms on each instance</li> <li><strong>merged.csv</strong> contains the merged data from the 2 csv files above</li> </ul> <p><strong>Reference</strong></p> <p>Arnaud Liefooghe, Gabriela Ochoa, Sébastien Verel, and Bilel Derbel. 2023. <strong>Pareto Local Optimal Solutions Networks with Compression, Enhanced Visualization and Expressiveness</strong>. In Genetic and Evolutionary Computation Conference (GECCO ’23), July 15–19, 2023, Lisbon, Portugal. ACM, New York, NY, USA, 9 pages. <a href="https://doi.org/10.1145/3583131.3590474">https://doi.org/10.1145/3583131.3590474</a></p> <p><strong>Abstract</strong></p> <p>The structure of local optima in multi-objective combinatorial optimization and their impact on algorithm performance are not yet properly understood. In this paper, we are interested in the representation of multi-objective landscapes and their multi-modality. More specifically, we revise and extend the network of Pareto local optimal solutions (PLOS-net), inspired by the well-established local optima network from single-objective optimization. We first define a compressed PLOS-net which allows us to enhance its perception while preserving the important notion of connectedness between local optima. We then study an alternative visualization of the (compressed) PLOS-net that focuses on good-quality solutions, improves the distinction between connected components in the network, and generalizes well to landscapes with more than 2 objectives. We finally define a number of network metrics that characterize the PLOS-net, some of them being strongly correlated with search performance. We visualize and experiment with small-size multi-objective nk-landscapes, and we disclose the effect of PLOS-net metrics against well-established multi-objective local search and evolutionary algorithms.</p>
Models and data for "Guaranteed safe controller synthesis for switched systems using analytical solutions"
<p>Models and data for the paper "Guaranteed safe controller synthesis for switched systems using analytical solutions" presented at the 7th IEEE Conference on Control Technology and Applications, Barbados, August 16-18, 2023.</p> <p> </p>
Thermally controlled intein splicing of engineered DNA polymerases provides a robust and generalizable solution for accurate and sensitive molecular diagnostics
<p>DNA polymerases are essential for nucleic acid synthesis, cloning, sequencing and molecular diagnostics technologies. Conditional intein splicing is a powerful tool for controlling enzyme reactions. We have engineered a thermal switch into thermostable DNA polymerases from two structurally distinct polymerase families by inserting a thermally activated intein domain into a surface loop that is integral to the polymerase active site, thereby blocking DNA or RNA template access. The fusion proteins are inactive but retain their structures such that the intein excises during a heat pulse delivered at 70–80°C to generate spliced, active polymerases. This straightforward thermal activation step provides a highly effective, one-component 'hot-start' control of PCR reactions that enables accurate target amplification by minimizing unwanted by-products generated by off-target reactions. In one engineered enzyme, derived from <em>Thermus aquaticus</em> DNA polymerase, both DNA polymerase and reverse transcriptase activities are controlled by the intein, enabling single-reagent amplification of DNA and RNA under hot-start conditions. This engineered polymerase provides high-sensitivity detection for molecular diagnostics applications, amplifying 5–6 copies of the tested DNA and RNA targets with >95% certainty. The design principles used to engineer the inteins can be readily applied to construct other conditionally activated nucleic acid processing enzymes.</p>
UV-spectrophotometry dataset of technical lignin in solution after aging and looped measurements
<p>UV-spectrophotometry data of technical lignin samples in solutions is made available here, which was acquired after ambient aging for up to 110 days in DMSO solvent or looped measurements on fresh solutions in DMSO or 0.2N NaOH in water. UV-spectrophotometry of lignin is a useful technique, as it can a) quantify the concentration and purity of lignin in a given sample, b) determine the abundance of phenolic hydroxyl groups, and c) yield qualitative information about chemical modification of the lignin macromolecule. In addition, the technique is rapid and easy to use. Still, solutions of lignin are known to be unstable; in particular at high pH or in presence of UV-light. The data in this article may hence serve as guide in the experimental conduct and design, as it shows the reproducibility of UV-spectrophotometry measurements of lignin.</p>
Essential oil-containing solutions release low Ca and P concentrations into the dental enamel without morphology alterations
<p><strong>Background. </strong>The use of natural products such as essential oils has been suggested due to their promising pharmacological effects and economic viability.</p> <p>Aim. To determine hydrogenic potential (pH), titratable acidity (TA), and ion concentrations of five solutions containing essential oils (EO) and evaluate ion concentrations, enamel surface loss, and morphology.</p> <p><strong>Materials & Methods. </strong>The pH, TA, calcium (Ca), potassium (K), and sodium (Na) concentrations of five EO-containing solutions were measured. Bovine enamel specimens were submitted to two daily 30-sec immersions in artificial saliva, citric acid, distilled water, BaCloTea, GeLaTeaPep, EucaLem, Cinnamon, or Spearmint solutions for 14 days. Ca, K, Na, and phosphorus (P) were quantified through ions chromatography, enamel surface loss was determined by profilometry, and surface morphology was qualitatively analyzed through scanning electron microscopy. Data were submitted to one-way ANOVA and Tukey (p<0.05).</p> <p><strong>Results. </strong>The five EO-containing solutions presented significantly lower pH values than distilled water (p<0.05). The GeLaTeaPep group presented a significantly higher TA value than BaCloTea (p<0.05), which in turn showed a significantly higher TA value than the other solutions (p<0.05). The distilled water presented significantly higher Ca, K, and Na concentrations than all EO-containing solutions (p<0.05). The enamel exposed to EO-containing solutions showed lower Ca and P concentrations than artificial saliva (control) as well as significantly higher surface loss; however, the surface morphology was similar to the artificial saliva.</p> <p><strong>Conclusion. </strong>EO-containing solutions have low pH, TA, and low concentrations of Ca, Na, and K. Moreover, enamel exposed to these solutions showed low Ca and P concentrations and slight surface loss without morphology alteration.</p>
Phases evolution and photocatalytic activity of Cu2O films electrodeposited from a non-pH-adjusted solution
<p>A pure-phase Cu<sub>2</sub>O film photocatalyst was successfully prepared by the electrodeposition technique from a non-pH-adjusted solution. To investigate the phase evolution and photocatalytic activity of the film, the electrodeposition was conducted at different deposition temperatures. Photocatalytic activity of the films was evaluated from methylene blue (MB) dye degradation. The Cu<sub>2</sub>O phase initially appeared at room temperature and its fraction was found to increase with increasing the deposition temperature, while the impurity phase was successfully diminished. A pure Cu<sub>2</sub>O film with a narrow optical bandgap energy of 1.96 eV was obtained at 75°C. The multi-faceted crystals were found to form at 45°C and became a truncated octahedral structure that possessed {111} and {100} facets as deposition temperature further increased. A preferred orientation growth of {110} facet, which is known to possess a relatively high surface energy, was produced at 75°C. The performance of MB photodegradation enhanced gradually by increasing the deposition temperature. The increase of photocatalytic activity could be attributed to the rise of photoelectrochemical response and the decrease of resistance charge transfer because of narrowing bandgap energy, increasing Cu<sub>2</sub>O fraction, and growing a relatively high catalytic activity facet which had escalated redox reaction that decomposed MB at the photocatalyst-solution interface.</p>
Dataset for the Figure 2 in manuscript "Numerical study of coupled water and vapour flow, heat transfer, and solute transport in variably-saturated deformable soil during freeze-thaw cycles"
<p>This dataset includes the gathered experimental measurements of a freezing test by Wu (2017) for the model's verification shown in Figure 2 of the manuscript entitled 'Numerical study of coupled water and vapour flow, heat transfer, and solute transport in variably-saturated deformable soil during freeze-thaw cycles'' by Huang, X., and Rudolph, D.L.</p>
A Benchmark Analytical Solution for Variable Viscosity Flow in Fractured Media: Development and Comparative Analysis with Numerical Simulations
<p>This data is associated with <strong>(a) Figure 3.</strong> Comparison between the velocities obtained through analytical calculations and those estimated numerically, and <strong>(b) Figure 4.</strong> Comparison of the BTCs obtained through analytical calculations and those estimated numerically.</p>
Continent-scale inventory routing solutions
<p>This dataset of inventory routing solutions is a fruit of our partnership between Renault Group and the CERMICS laboratory at Ecole des Ponts. The related instances (also publicly available) are continent-scale with hundreds of customers, 21 days horizon, and 15 depots on average. Routes can last several days (continuous-time), and 30 types of commodities are involved, leading to bin packing problems when filling trucks. In our paper "Solving a Continent-Scale Inventory Routing Problem at Renault" we introduce a new large neighborhood search to solve those instances. This dataset contains the solutions provided both by our algorithm and by a benchmark we implement, as shown in the computational experiments section of our paper. We hope that sharing them publicly will motivate research on real-world and large-scale inventory routing. Environmental and economical impacts at stake are substantial.</p>
Experimental study on the benefits of nature-based solutions for debris-flow mitigation via synergistic eco-geotechnical measures
<p>This supporting information provides the supplementary data (Raw data and videos) which were used to describe the effects of integrated eco-geotechnical measures on debris flow severity, flow rate, velocity, and particle size by various small-scale flume experiments.</p>
Au recovery and particle deposition from Au-Cu-Cl solutions with electrochemically-assisted aqueous reduction
<p>This dataset contains all the measurement data related to the publication titled: <em>Recovery of Gold as Nanoparticles From Gold-Poor Au-Cu-Cl Solutions (2023). </em>The publication introduces the EAR method (electrochemically assisted aqueous reduction): an electrochemical potential pulsing method, where during the time between potential pulses a spontaneous redox reaction contributes to the gold recovery. This occurs through reduction of aqueous gold by aqueous Cu(I) chloride complexes, which are generated via the potential pulse from Cu(II) complexes. This dataset contains:</p> <ul> <li>Cyclic voltammetry data of Au-Cl and Cu-Cl solutions</li> <li>EQCM data of gold recovery with the EAR method</li> <li>Characterization of gold particles recovered onto glassy carbon electrodes (SEM, EDS)</li> </ul> <p>Measurement details can be read in included readme files. Briefly, EQCM data (electrochemical quartz crystal microbalance) data includes the measured electrochemical data in one file (time, potential, current) and the measured QCM data (time, frequency and dissipation change) in another file. Particle deposition folders may contain electrochemical data of deposition, SEM images of surface, CV measurements used for determining electrochemical surface area, images processed for particle size measurement with ImageJ and EDS data depending on the sample.</p> <p> </p> <p> </p>
Covalent Organic Framework Thin-Film Photodetectors from Solution-Processable Porous Nanospheres
<p>This repository contains the source data for the manuscript <strong>"Covalent Organic Framework Thin-Film Photodetectors from Solution-Processable Porous Nanospheres" </strong></p> <p>The statistical model of 50 layers, 4-6 layers for TpDPP, TpTta, and TpTab.</p> <p>A code for building the statistical structure for layered materials by stacking layers following the Maxwell-Boltzmann energy distribution of their stacking modes. Full Changelog: <a href="https://github.com/Ying-Ying-Zhang/COFpiler/commits/v1.1">https://github.com/Ying-Ying-Zhang/COFpiler/commits/v1.1</a></p>
Quantum chemical investigation of the predominant conformation of the antibiotic azithromycin in water and DMSO solutions: an integrated thermodynamic and NMR analysis
<p><span>Azithromycin (AZM) is a macrolide-type antibiotic used to prevent and treat serious infection</span><span>s (mycobacteria or MAC) that significantly inhibit bacterial growth. Knowledge of the predominant conformation in solution is of fundamental importance for advancing our understanding of the intermolecular interactions of AZM with biological targets. We report an extensive density functional theory (DFT) study of plausible AZM structures in solution considering implicit and explicit solvent effects. The best match between the experimental and theoretical nuclear magnetic resonance (NMR) profiles was used to assign the preferred conformer in solution, which was supported by the thermodynamic analysis. Among the 15 distinct AZM structures, conformer M14, having a short intramolecular C6-OH…N H-bond, is predicted to be dominant in water and DMSO solutions. The results indicated that the X-ray structure backbone is mostly conserved in solution, showing that large flexible molecules with several possible conformations may assume a preferential spatial orientation in solution, which is the molecular structure that ultimately interacts with biological targets.</span></p>
Machine Eye for Defects: Machine Learning-Based Solution to Identify and Characterize Topological Defects in Textured Images of Nematic Materials
<p><strong>Our paper has been published on Phys. Rev. Res. (doi: 10.1103/PhysRevResearch.6.013259)</strong></p> <p><strong>Our preprint paper is also avilable at arXiv(https://arxiv.org/abs/2310.06406), here is the abstract of our paper:</strong></p> <p>Topological defects play a key role in the structures and dynamics of liquid crystals (LCs) and other ordered systems. There is a recent interest in studying defects in different biological systems with distinct textures. However, a robust method to directly recognize defects and extract their structural features from various traditional and nontraditional nematic systems remains challenging to date. Here we present a machine learning solution, termed Machine Eye for Defects (MED), for automated defect analysis in images with diverse nematic textures. MED seamlessly integrates state-of-the-art object detection networks, Segment Anything Model, and vision transformer algorithms with tailored computer vision techniques. We show that MED can accurately identify the positions, winding numbers, and orientations of ±1/2 defects across distinct cellular contours, sparse vector fields of nematic directors, actin filaments, microtubules, and simulation images of Gay–Berne particles. MED performs faster than conventional defect detection method and can achieve over 90% accuracy on recognizing ±1/2 defects and their orientations from vector fields and experimental tissue images. We further demonstrate that MED can identify defect types that are not included in the training data, such as giant-core defects and defects with higher winding number. Remarkably, MED can provide correct structural information about ±1 defects. As such, MED stands poised to transform studies of diverse ordered systems by providing automated, rapid, accurate, and insightful defect analysis.</p> <p> </p> <p><strong>Repository Organization</strong></p> <p><strong>Trained Models.zip</strong></p> <p>This directory is integral for model deployment and houses all relevant pre-trained models.</p> <ul> <li><strong>plus_vit_vecUV.pt</strong>: Pre-trained model for the Plus Transformer variant.</li> <li><strong>minus_vit_theR.pt</strong>: Pre-trained model for the Minus Transformer variant.</li> <li><strong>nanodet-plus-m_416-halfenhance</strong>: A sub-directory containing all files associated with the trained Nanodet-Plus model.</li> <li><strong>configs</strong>: Configuration files for training procedures.</li> </ul> <p><strong>Training Data.zip</strong></p> <p>This directory contains all datasets used for the training of Nanodet-Plus, Plus Transformer, and Minus Transformer models.</p> <p><strong>Code.zip</strong></p> <p>This directory features the implementation details and example use-cases showcased in Figure 2 and Figure 3c of our associated paper. The directory also includes code corresponding to the specific versions of Nanodet-Plus and SAM models cited in our study.</p> <ul> <li><strong>nanodet</strong>: Code in this folder is adapted from <a href="https://github.com/RangiLyu/nanodet">RangiLyu/nanodet</a> (https://github.com/RangiLyu/nanodet). We have included the exact version used for compatibility.</li> <li><strong>segment_anything</strong>: Code sourced from <a href="https://github.com/facebookresearch/segment-anything">Facebook Research's segment-anything</a> (https://github.com/facebookresearch/segment-anything). The specific version used is included for compatibility.</li> <li><strong>Fig2</strong>: Code for predicting topological defects in tissue cell images, citing the following reference: T. B. Saw et al., Nature 544, 212 (2017).</li> <li><strong>Fig3c</strong>: Code for predicting topological defects in microtubules images, citing the following reference: M. Golden et al., Sci. Adv. 9, eabq6120 (2023).</li> </ul> <p><strong>Initialization Steps</strong></p> <p>Before executing any code, please ensure the following:</p> <ul> <li>All files in the <strong>Trained Models</strong> directory must be available.</li> <li>Download the checkpoint <strong>sam_vit_l_0b3195.pth</strong> from <a href="https://github.com/facebookresearch/segment-anything">Facebook Research's segment-anything</a>. (https://github.com/facebookresearch/segment-anything)</li> </ul> <p><strong>Acknowledgments</strong></p> <ul> <li><a href="https://github.com/RangiLyu/nanodet">RangiLyu/nanodet</a> (https://github.com/RangiLyu/nanodet)</li> <li><a href="https://github.com/facebookresearch/segment-anything">Facebook Research's segment-anything</a> (https://github.com/facebookresearch/segment-anything)</li> </ul> <p>For further inquiries or issue reporting, you may contact us via email.</p> <p><strong>Contact Information</strong>: <a href="mailto:hrenae@connect.ust.hk">hrenae@connect.ust.hk</a></p>
Speciation of aqueous solutions of iron(III)-nitrilotriacetic acid complexes - simulations and experimental data
<p>Experimental data for a paper entitled <em>Preparation and characterization of iron(III) nitrilotriacetate complex in aqueous solutions for quantitative protein binding experiments</em> (<a title="Link to landing page via DOI" href="https://doi.org/10.1039/D3AY01261A">https://doi.org/10.1039/D3AY01261A</a>).</p> <p> </p> <p>a) Speciation of aqueous solutions of iron(III)-nitrilotriacetic acid complexes - simulations</p> <p>A custom VBA script for Microsoft Excel 365 (Version 2304, build 16.0.16327.20200, 64-bit) was used to solve the 5th-order polynomial for the free ligand NTA3− as a function of all congruent association and dissociation constants and the total concentrations of iron, ligand, and hydrogen ions using the Jenkins-Traub algorithm. [1-4] For comparison, the FeNTA species distribution was also simulated using HySS software [5], which applies the Newton-Raphson algorithm to solve the mass balance equations using known equilibrium constants. [6-7]</p> <p>The Excel workbook is provided with the following information:</p> <p>Sheet 1: FeNTA-Speciation - contains all relevant equilibrium constants and corresponding equations, expressions for polynomial coefficients, polynomial roots, and equilibrium concentrations of all species. The values are calculated from the analytical concentrations provided to the HySS software and imported to Sheet 2.</p> <p>Sheet 2: HySS-Import - contains the values obtained from the HySS software (the HySS model file is also included for reference). The values in the columns headed 'total Fe', 'total NTA' and 'p(H)' are used for the calculation in Sheet 1.</p> <p>Sheet 3: Examples - contains plots for the FeNTA species distribution obtained by solving the 5th-order polynomial in Excel and HySS software: Top: Fe:NTA = 0.15 M:0.15 M, Bottom: Fe:NTA = 0.15 M:0.30 M.</p> <p>Sheet 4: Polynomial-Procedure - contains the details of using the VBA script in Excel. [1]</p> <p> </p> <p>b) UV-Vis spectrophotometric titration of human serum transferrin (hTf) with FeNTA - experimental data and results</p> <p>Additional files containing the experimental data for the UV-Vis spectrophotometric titration of human serum transferrin (hTf) with FeNTA and the obtained equilibrium constants for binding of the first and second iron(III) ion to hTf, obtained using HypSpec software [8-9], are also included.</p> <p>The files contain the HypSpec model and the summary of the results in Excel, including the concentrations of all species for each titration point, the observed and calculated absorbance, and the values and errors for the molar absorption coefficients in the range from 445 to 800 nm.</p> <p> </p> <p>For more details, please visit: <a href="https://glymech.pharma.hr//GlyMech.html">https://glymech.pharma.hr//GlyMech.html</a>.</p> <p> </p> <p>References:</p> <p>[1] Jenkins D (2014) Solving Quadratic, Cubic, Quartic and higher order equations; examples. In: Newton Excel Bach, not (just) an Excel Blog. <a href="https://newtonexcelbach.wordpress.com/2014/01/14/solving-quadratic-cubic-quartic-and-higher-order-equations-examples/">https://newtonexcelbach.wordpress.com/2014/01/14/solving-quadratic-cubic-quartic-and-higher-order-equations-examples/</a>. Accessed 18 May 2017</p> <p>[2] Jenkins MA, Traub JF (1972) Algorithm 419: zeros of a complex polynomial [C2]. Commun ACM 15:97–99. <a href="https://doi.org/10.1145/361254.361262">https://doi.org/10.1145/361254.361262</a></p> <p>[3] Jenkins MA (1975) Algorithm 493: Zeros of a Real Polynomial [C2]. ACM Trans Math Softw 1:178–189. <a href="https://doi.org/10.1145/355637.355643">https://doi.org/10.1145/355637.355643</a></p> <p>[4] Ralston A, Rabinowitz P (1978) A first course in numerical analysis, 2d ed. McGraw-Hill, New York ISBN: 9780486414546 <a href="https://www.worldcat.org/title/44883559">https://www.worldcat.org/title/44883559</a></p> <p>[5] Alderighi L, Gans P, Ienco A, Peters D, Sabatini A, Vacca A (1999) Hyperquad simulation and speciation (HySS): a utility program for the investigation of equilibria involving soluble and partially soluble species. Coordination Chemistry Reviews 184:311–318. <a href="https://doi.org/10.1016/S0010-8545(98)00260-4">https://doi.org/10.1016/S0010-8545(98)00260-4</a></p> <p>[6] Motekaitis RJ, Martell AE (1994) The Iron(III) and Iron(II) Complexes of Nitrilotriacetic Acid. Journal of Coordination Chemistry 31:67–78. <a href="https://doi.org/10.1080/00958979408022546">https://doi.org/10.1080/00958979408022546</a></p> <p>[7] Hegenauer J, Saltman P, Nace G (1979) Iron(III)-phosphoprotein chelates: stoichiometric equilibrium constant for interaction of iron(III) and phosphorylserine residues of phosvitin and casein. Biochemistry 18:3865–3879. <a href="https://doi.org/10.1021/bi00585a006">https://doi.org/10.1021/bi00585a006</a></p> <p>[8] Gans P, Sabatini A, Vacca A (1996) Investigation of equilibria in solution. Determination of equilibrium constants with the HYPERQUAD suite of programs. Talanta 43:1739–1753. <a href="https://doi.org/10.1016/0039-9140(96)01958-3">https://doi.org/10.1016/0039-9140(96)01958-3</a></p> <p>[9] Gans P, Sabatini A, Vacca A (1999) Determination of equilibrium constants from spectrophometric data obtained from solutions of known pH: The program pHab. Annali di Chimica 89:45–49.</p> <p> </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.