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5,530 results for “informal”
Artifacts for "Reviewing War: Unconventional User Reviews as a Side Channel to Circumvent Information Controls"
<p>List of keywords used to build the text classifier for the paper <em>Reviewing War: Unconventional User Reviews as a Side Channel to Circumvent Information Controls</em>. For more information on how these keywords were obtained, see the "Data Labeling" section of this paper.</p> <p>The provided CSV file contains 3 columns:</p> <ul> <li>"keyword": Lowercased keyword in either English, Russian, Ukranian or Polish.</li> <li>"weight": Score indicating the keyword's war-related affinity, with 3 being the most related. Negative weights are used to correct for exceptions in our classifier.</li> <li>"topic": Subject of the keyword used for topic analysis.</li> </ul>
Code and supplementary information for the speed of neutral evolution on graphs
<p>The speed of evolution on structured populations is crucial for biological and social systems. The likelihood of invasion is key for evolutionary stability, but it makes little sense if it takes long. It is far from known what population structure slows down evolution. We investigate the absorption time of a single neutral mutant for all the 112 non-isomorphic undirected graphs of size 6. We find that about three-quarters of the graphs have an absorption time close to that of the complete graph, less than one-third are accelerators, and more than two-thirds are decelerators. Surprisingly, determining whether a graph has a long absorption time is too complicated to be captured by the joint degree distribution. Via the largest sojourn time, we find that echo-chamber-like graphs, which consist of two homogeneous graphs connected by few sparse links, are likely to slow down absorption. These results are robust for large graphs, mutation patterns as well as evolutionary processes. This work serves as a benchmark for timing evolution with complex interactions and fosters the understanding of polarization in opinion formation.</p>
Population genomics of flat-tailed horned lizards (Phrynosoma mcallii) informs conservation and management across a fragmented Colorado Desert landscape
<p><em>Phrynosoma mcallii</em> (flat-tailed horned lizards) is a species of conservation concern in the Colorado Desert of the United States and Mexico. We analyzed ddRADseq data from 45 lizards to estimate population structure, infer phylogeny, identify migration barriers, map genetic diversity hotspots, and model demography. We identified the Colorado River as the main geographic feature contributing to population structure, with the populations west of this barrier further subdivided by the Salton Sea. Phylogenetic analysis confirms that northwestern populations are nested within southeastern populations. The best-fit demographic model indicates Pleistocene divergence across the Colorado River, with significant bidirectional gene flow, and a severe Holocene population bottleneck. These patterns suggest that management strategies should focus on maintaining genetic diversity on both sides of the Colorado River and Salton Sea. We recommend additional lands in the U.S. and Mexico that should be considered for similar conservation goals as those in the Rangewide Management Strategy (RMS). We also recommend periodic rangewide genomic sampling to monitor ongoing attrition of diversity, hybridization, and changing structure due to habitat fragmentation, climate change and other long-term impacts.</p>
Simulated Channel state information for In-factory Subnetworks
<p><span>In the simulated factory environment, a multitude of strategically deployed short-range cells forms the backbone of robotic systems, production modules, conveyors, and other industrial machinery. These cells, designated as In-factory subnetworks (InF-S), are comprised of an access point (AP) serving one or more devices within the subnetwork. </span></p>
Miocene construction of the High Andes recorded by exhumation of the Frontal Cordillera, La Ramada Massif of western Argentina (31°S) (Supporting Information)
<p>Supporting datasets for Howlett et al., "Miocene construction of the High Andes recorded by exhumation of the Frontal Cordillera, La Ramada Massif of western Argentina (31°S)" <em><strong>in review</strong></em> at <em>Earth and Planetary Science Letters (EPSL) </em>as of <strong>April 3, 2024.</strong></p>
Optimizing Small Business Operations through Information Architecture and Enterprise Engineering
<p> </p> <p>This research paper investigates the critical significance of information architecture and enterprise engineering in streamlining small business operations for continued expansion and competitiveness. ( Carrasco Ramirez, J. G. (2024).</p> <p> With rapid technological developments and shifting customer demands, small businesses confront mounting challenges to adjust and flourish amid change. Drawing upon academic sources and practical findings, this study reveals how purposeful implementation of information ( Carrasco Ramirez, J. G. (2024) architecture enables effective data handling, knowledge sharing, and decision-making mechanisms within small organizations.Ramírez, J. G. C. (2023)</p> <p>Additionally, it outlines the tenets of enterprise engineering, stressing the need for creating coherent business frameworks, processes, and systems to maximize operational efficacy and resource allocation. By integrating information architecture and enterprise engineering approaches, small businesses can bolster their organizational resiliency and maintain a competitive edge in today's dynamic marketplace.</p> <p> Central to these strategies is the development and implementation of comprehensive business plans. This abstract explores the significance of business planning in driving effective management strategies, highlighting its role in guiding decision-making, fostering organizational alignment, and facilitating proactive adaptation to changing market conditions. (Carrasco Ramirez, J. G. (2024).</p> <p> </p> <p> </p> <p> </p> <p> </p>
Projects' Statistical Information
<div> <p>The dataset contains statistical information about the projects we used in our experiments.</p> <p> </p> </div> <p> </p>
Project - Physics-informed neural network for lithium-ion battery degradation stable modeling and prognosis
<p>Here are the datasets for our publication entitled "<a href="https://www.nature.com/articles/s41467-024-48779-z">Physics-informed neural network for lithium-ion battery degradation stable modeling and prognosis</a>" published in Nature Communications. </p> <p>The object of this experiment is the 18650 nickel-cobalt-manganese (NCM) lithium-ion battery manufactured by "LISHEN". The chemical composition is LiNi<sub>0.5</sub>Co<sub>0.2</sub>Mn<sub>0.3</sub>O<sub>2</sub>. The nominal capacity of the battery is 2000 mAh, and the nominal voltage is 3.6 V. The charging cut-off voltage and discharging cut-off voltage are 4.2 V and 2.5 V, respectively. The whole experiment was conducted at room temperature. A total of 55 batteries were included in this experiment, conducted under 6 different charging and discharging strategies. The charging and discharging platform is ACTS-5V10A-GGS-D, and the sampling frequency for all data is 1Hz.</p> <p>Other details can be found in "Data Introduction.pdf" file.</p> <p>The <strong>Python Code</strong> for reading and preprocessing this dataset is available at: <a href="https://github.com/wang-fujin/Battery-dataset-preprocessing-code-library">https://github.com/wang-fujin/Battery-dataset-preprocessing-code-library</a></p> <p>Summary of articles using the this dataset: <a href="https://github.com/wang-fujin/XJTU-Battery-Dataset-Papers-Summary">https://github.com/wang-fujin/XJTU-Battery-Dataset-Papers-Summary</a></p> <p> </p> <p>If you find this data helpful, please consider citing our paper:</p> <p>Wang, F., Zhai, Z., Zhao, Z. <em>et al.</em> Physics-informed neural network for lithium-ion battery degradation stable modeling and prognosis. <em>Nat Commun</em> <strong>15</strong>, 4332 (2024). https://doi.org/10.1038/s41467-024-48779-z</p>
Productivity-Susceptibility Analysis for Top 250 Marine Aquarium Fish Supplemental Information
<p>Data storage for supplemental information, containting the full dataset, a summarized dataset, and comparing vulnerability scores between FishBase and our Productivity-Susceptibility Analysis. </p>
Supporting Information for "First Results of Terrestrial Gamma-ray Flash observations by Insight-HXMT"
<p>The compressed file contains data for 282 HXMT Terrestrial Gamma-ray Flashes (TGFs), spanning from T0-1 second to T0+1 second. Below is a description of the data format included in the file.</p> <p>[HXMT 1K Science Data Description]</p> <p>1. The "Time" column represents the Mission Elapsed Time (MET) in seconds for HXMT, starting from 2012-01-01T00:00:00.</p> <p>2. The "Det_ID" column indicates the detector index for the 18 HXMT/HE NaI/CsI detectors, ranging from 00 to 17.</p> <p>3. The "Channel" column refers to the energy channel for HXMT/HE NaI/CsI detectors, which spans from 0 to 255. Data filtering often uses "Channel>30" to exclude lower energy events.</p> <p>4. The "Pulse_Width" column measures the pulse width of the detector signal in milliseconds. For HXMT/HE data, a Pulse Width value of N translates to N/48 ms. To filter the data, "Pulse_Width>75" is commonly used.</p> <p>5. The "ACD" column presents data from the anticoincidence detectors of the HXMT/HE Anti-Coincidence Detector (ACD). This data consists of an array of 18 boolean values, each corresponding to a specific ACD. For instance, if the first value in the array is 1, it indicates that the event was simultaneously detected by ACD-01; conversely, a 0 in the second position signifies that ACD-02 did not detect the event at the same time. Typically, events detected by any ACD are excluded from data analysis. Conversely, events are included in data analysis when all ACD values are 0.</p> <p>6. The "Event_Type" column describes the operational modes of the detector: 0 for normal-gain mode and 1 for low-gain mode.</p> <p>Details on the NaI/CsI and ACD detector installation positions and the relationship between energy and channel for both normal-gain and low-gain modes can be found in Song et al. 2022.</p>
How can CotB2V80L alter the product profile? Supporting Information
<p>Docking results, electrostatic maps and volume calculation.</p> <p>CHARMM scripts for electrostatic calculation and python scripts for Monte Carlo integration on pocket volume and assement of extra volume.</p>
Figure 14 – C in Description of a new species from Africa in genus Coccothera Meyrick, 1914, with additional taxonomic and faunistic information on two other Coccothera species (Lepidoptera: Tortricidae: Grapholitini)
Figure 14 – C. albolineana spec. nov. ♂ P. 4372 KL, Kenya, Naro Moru.
Figure 15 – C in Description of a new species from Africa in genus Coccothera Meyrick, 1914, with additional taxonomic and faunistic information on two other Coccothera species (Lepidoptera: Tortricidae: Grapholitini)
Figure 15 – C. albolineana spec. nov. ♀ P. 4701 KL, RSA, Louis Trichardt.
Figure 13 – C in Description of a new species from Africa in genus Coccothera Meyrick, 1914, with additional taxonomic and faunistic information on two other Coccothera species (Lepidoptera: Tortricidae: Grapholitini)
Figure 13 – C. albolineana spec. nov. ♀ P. 4371 KL, 8 mm. Kenya, Naro Moru.
Figure 12 – C in Description of a new species from Africa in genus Coccothera Meyrick, 1914, with additional taxonomic and faunistic information on two other Coccothera species (Lepidoptera: Tortricidae: Grapholitini)
Figure 12 – C. albolineana spec. nov. ♀ P. 4701 KL, 8 mm. RSA, Louis Trichardt.
Figure 10 – C in Description of a new species from Africa in genus Coccothera Meyrick, 1914, with additional taxonomic and faunistic information on two other Coccothera species (Lepidoptera: Tortricidae: Grapholitini)
Figure 10 – C. nicomacha (Meyr.) ♂ P. 4368 KL, Tanzania, Iringa.
Figure 11 – C in Description of a new species from Africa in genus Coccothera Meyrick, 1914, with additional taxonomic and faunistic information on two other Coccothera species (Lepidoptera: Tortricidae: Grapholitini)
Figure 11 – C. nicomacha (Meyr.) ♀ P. 2721 LA, Tanzania, Morogoro.
Figure 8 – C in Description of a new species from Africa in genus Coccothera Meyrick, 1914, with additional taxonomic and faunistic information on two other Coccothera species (Lepidoptera: Tortricidae: Grapholitini)
Figure 8 – C. nicomacha (Meyr.) ♀ P. 2720 LA, 11 mm. Tanzania, Morogoro.
Figure 9 – C in Description of a new species from Africa in genus Coccothera Meyrick, 1914, with additional taxonomic and faunistic information on two other Coccothera species (Lepidoptera: Tortricidae: Grapholitini)
Figure 9 – C. nicomacha (Meyr.) ♂ P. 3536 KL, Tanzania, Iringa.
Figure 3 – C in Description of a new species from Africa in genus Coccothera Meyrick, 1914, with additional taxonomic and faunistic information on two other Coccothera species (Lepidoptera: Tortricidae: Grapholitini)
Figure 3 – C. spissana (Zell.) ♂ P. 4165 KL, Tanzania, Tungamalenga.
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.