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5,526 results for “information”
Fig. 5 in Enlarging the monotypic Monocarpieae (Annonaceae, Malmeoideae): recognition of a second genus from Vietnam informed by morphology and molecular phylogenetics
Fig. 5. – Reproductive organs of Leoheo domatiophorus Chaowasku, D.T. Ngo & H.T. Le: A. Flower with petals and stamens removed; B. Flower with petals, stamens, and carpels removed, back view, showing outer side of sepals; C. Same as (B), but on another side, showing a volcano-shaped torus and inner side of sepals; D. Inner side of an outer petal; E. Outer side of an outer petal; F. Inner side of an inner petal; G. Outer side of an inner petal; H. Stamen, abaxial side; I. Stamen, adaxial side; J. Carpels, showing enlarged and irregularly lobed stigmas; K. Fruit, showing longitudinal ridges on monocarp surface; L. Seed, lateral view, showing a raphe; M. Seed, lateral view, showing a pitteand slightly rugose surface; N. Cross section of a seed, showing spiniform endosperm ruminations. [A–J: HUAF collectors 2009-03-19-ND, CMUB; K: Chaowasku 131, CMUB; L–N: Chaowasku 165, CMUB] [Drawing: A. Damthongdee]
Fig. 3 in Enlarging the monotypic Monocarpieae (Annonaceae, Malmeoideae): recognition of a second genus from Vietnam informed by morphology and molecular phylogenetics
Fig. 3. – Inflorescence position of Leoheo Chaowasku (A) and Monocarpia Miq. (B). A. Axillary inflorescences/infructescences of Leoheo domatiophorus Chaowasku, D.T. Ngo & H.T. Le; B. Terminal inflorescence of Monocarpia kalimantanensis Kessler. [A: HUAF collectors 2009-03-19-ND, CMUB; B: Sidiyasa et al. 3469, L] [Photos: A: D.T. Ngo; B: Arbainsyah]
Fig. 4 in Enlarging the monotypic Monocarpieae (Annonaceae, Malmeoideae): recognition of a second genus from Vietnam informed by morphology and molecular phylogenetics
Fig. 4. – Lower leaf surface of Leoheo Chaowasku (A) and Monocarpia Miq. (B). A. Leoheo domatiophorus Chaowasku, D.T. Ngo & H.T. Le, with a hairy domatium; B. Monocarpia maingayi (Hook. f. & Thomson) I.M. Turner, without domatia. [A: Chaowasku 131, CMUB; B: Promchua 18, CMUB]
Fig. 2. – A in Enlarging the monotypic Monocarpieae (Annonaceae, Malmeoideae): recognition of a second genus from Vietnam informed by morphology and molecular phylogenetics
Fig. 2. – A. Leaf of Monocarpia kalimantanensis Kessler, showing conspicuous intramarginal veins; B. Fruit of Monocarpia maingayi (Hook. f. & Thomson) I.M. Turner, showing monocarps without longitudinal ridges; C– H: Leoheo domatiophorus Chaowasku, D.T. Ngo & H.T. Le; C. Leaf without intramarginal veins; D. Fruit, showing monocarps with longitudinal ridges; E. Flowering branches; F. Dissected flower and young fruit; G. Dissected flower, showing detached stamens and stigmas; H. Flower, showing enlarged and irregularly lobed stigmas. [A: Sidiyasa et al. 3469, L; B: Gardner & Sidisunthorn ST0541a, L; C–D: Chaowasku 131, CMUB; E–H: HUAF collectors 2009-03-19-ND, CMUB] [Photos: A: Arbainsyah; B: S. Gardner & P. Sidisunthorn; C–H: D.T. Ngo]
Dataset and replication information for Temporal Discounting in Technical Debt: How do Software Practitioners Discount the Future?
<p>Dataset and replication information for the paper Temporal Discounting in Technical Debt: How do Software Practitioners Discount the Future? (Becker, C., Fagerholm, F., Mohanani, R., Chatzigeorgiou, A., 2009). The dataset consists of answers to a questionnaire on temporal discounting in a technical debt context. The respondents are from two companies. The raw data from the two companies is given separately. Information showing how to replicate the calculations required for analysis is given for each company. The dataset and replication information are given in both Excel (xlsx) and Open Document (ods) formats.</p>
Supplementary information for D4.6 CEMCAP comparative techno-economic analysis of CO2 capture in cement plants
<p>Supplementary information for D4.6 CEMCAP comparative techno-economic analysis of CO2 capture in cement plants</p>
Data Template for exchanging information between Decision Making System & Simulator
<p>Data Template for exchanging information between Decision Making System & Simulator. Under the prism of optimizing design/production and checking circularity of parts.</p>
Process Models obtained from event logs with with different information-preserving abstractions
<p>This dataset contains results of the experiment to analyze information preservation and recovery by different event log abstractions in process mining described in: Sander J.J. Leemans, Dirk Fahland "Information-Preserving Abstractions of Event Data in Process Mining"<br> Knowledge and Information Systems, ISSN: 0219-1377 (Print) 0219-3116 (Online), accepted May 2019</p> <p>The experiment results were obtained with: https://doi.org/10.5281/zenodo.3243981</p>
ViSAPy-generated test data from Lee JH., et al. Advances in Neural Information Processing Systems 30 (NIPS 2017), pp4002--4012
<p>This dataset corresponds to the simulated test data for spike-sorting algorithms in Figure 3 of:</p> <p>Lee, Jin Hyung and Carlson, David E and Shokri Razaghi, Hooshmand and Yao, Weichi and Goetz, Georges A and Hagen, Espen and Batty, Eleanor and Chichilnisky, E.J. and Einevoll, Gaute T. and Paninski, Liam. YASS: Yet Another Spike Sorter. Advances in Neural Information Processing Systems 30 (NIPS 2017). Editors I. Guyon and U. V. Luxburg and S. Bengio and H. Wallach and R. Fergus and S. Vishwanathan and R. Garnett, year 2017, pp4002-4012.<br> publisher: Curran Associates, Inc. URL http://papers.nips.cc/paper/6989-yass-yet-another-spike-sorter.pdf</p>
FT23 Rottenburgh 4-key fagottino: basic information and photos
<p>Dataset of FT23 Rottenburgh 4-key fagottino containing containing detailed external and internal measurements, photos.</p>
Supporting Information for "Geochemistry constrains global hydrology on Early Mars"
<p>Copy of the Supporting Information for "Geochemistry constrains global hydrology on Early Mars", by Edwin S. Kite and Mohit Melwani Daswani.</p>
Confirmation Bias in Web-Based Search: A Randomized Online Study on the Effects of Expert Information and Social Tags on Information Search and Evaluation
<p>ABSTRACT</p> <p>Background: The public typically believes psychotherapy to be more effective than pharmacotherapy for depression treatments. This is not consistent with current scientific evidence, which shows that both types of treatment are about equally effective.</p> <p>Objective: The study investigates whether this bias towards psychotherapy guides online information search and whether the bias can be reduced by explicitly providing expert information (in a blog entry) and by providing tag clouds that implicitly reveal experts’ evaluations.</p> <p>Methods: A total of 174 participants completed a fully automated Web-based study after we invited them via mailing lists. First, participants read two blog posts by experts that either challenged or supported the bias towards psychotherapy. Subsequently, participants searched for information about depression treatment in an online environment that provided more experts’ blog posts about the effectiveness of treatments based on alleged research findings. These blogs were organized in a tag cloud; both psychotherapy tags and pharmacotherapy tags were popular. We measured tag and blog post selection, efficacy ratings of the presented treatments, and participants’ treatment recommendation after information search.</p> <p>Results: Participants demonstrated a clear bias towards psychotherapy (mean 4.53, SD 1.99) compared to pharmacotherapy (mean 2.73, SD 2.41; <em>t</em><sub>173</sub>=7.67, <em>P</em><.001, <em>d</em>=0.81) when rating treatment efficacy prior to the experiment. Accordingly, participants exhibited biased information search and evaluation. This bias was significantly reduced, however, when participants were exposed to tag clouds with challenging popular tags. Participants facing popular tags challenging their bias (n=61) showed significantly less biased tag selection (<em>F</em><sub>2,168</sub>=10.61, <em>P</em><.001, partial eta squared=0.112), blog post selection (<em>F</em><sub>2,168</sub>=6.55, <em>P</em>=.002, partial eta squared=0.072), and treatment efficacy ratings (<em>F</em><sub>2,168</sub>=8.48, <em>P</em><.001, partial eta squared=0.092), compared to bias-supporting tag clouds (n=56) and balanced tag clouds (n=57). Challenging (n=93) explicit expert information as presented in blog posts, compared to supporting expert information (n=81), decreased the bias in information search with regard to blog post selection (<em>F</em><sub>1,168</sub>=4.32, <em>P</em>=.04, partial eta squared=0.025). No significant effects were found for treatment recommendation (<em>P</em>s>.33).</p> <p>Conclusions: We conclude that the psychotherapy bias is most effectively attenuated—and even eliminated—when popular tags implicitly point to blog posts that challenge the widespread view. Explicit expert information (in a blog entry) was less successful in reducing biased information search and evaluation. Since tag clouds have the potential to counter biased information processing, we recommend their insertion.</p>
OccuTherm: Occupant Thermal Comfort Inference using Body Shape Information
<p><strong>OccuTherm: Occupant Thermal Comfort Inference using Body Shape Information</strong></p> <p>This repository contains the official data from a USDOE-funded project at Carnegie Mellon University and Bosch Research Pittsburgh. </p> <p>The primary goal of the project was to investigate the relationship between indoor commercial building occupant thermal comfort and various biometric and environmental predictors. We performed 77 individual comfort experiments, approved by our Institutional Review Board (IRB) and in satisfaction of participant consent guidelines. Our goal was to generate a dataset than enables comprehensive study of human thermal comfort preferences, in a commercial building environment, across a wide range of indoor environmental conditions. The data is comprised of the following feature groups: depth camera frames, biometrics sensor data, body shape information, subjective comfort data from the mobile device application, environmental sensor data from the commercial building HVAC system, and outdoor weather station data.</p> <p>This is the official dataset release for the following conference paper:</p> <blockquote> <p>Jonathan Francis*, Matias Quintana*, Nadine von Frankenberg, Sirajum Munir, and Mario Bergés. 2019. OccuTherm: Occupant Thermal Comfort Inference using Body Shape Information. In BuildSys '19: ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, November 13–14, 2019, New York, NY. ACM, New York, NY, USA, 10 pages.</p> </blockquote> <p>To use this dataset, first download <strong>all</strong> the files.</p> <p>Next, issue the following commands on, e.g., Linux terminal:</p> <pre><code class="language-bash">>$ cd /path/to/dataset/files >$ cat occutherm_dataset_v0-0-0.tar.gza* > archive.tar.gz >$ tar -xvzf archive.tar.gz</code></pre> <p>Modeling and mobile application code are available in our project repository: <a href="https://github.com/jonfranc/occutherm">https://github.com/jonfranc/occutherm</a></p> <p>If you find the repository or the dataset useful, please cite our paper:</p> <pre><code>@inproceedings{francis_buildsys2019, author = {Francis, Jonathan and Quintana, Matias and von Frankenberg, Nadine and Munir, Sirajum and Berges, Mario}, title = {OccuTherm: Occupant Thermal Comfort Inference using Body Shape Information}, booktitle = {Proceedings of the 6th International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation}, series = {BuildSys '19}, year = {2019}, isbn = {978-1-4503-7005-9/19/11}, location = {New York, NY}, numpages = {10}, acmid = {3360858}, publisher = {ACM}, address = {New York, NY, USA}, keywords = {Thermal Comfort, Human Studies, Machine Learning}, }</code></pre> <p> </p>
Broken rotor bar dataset information
<p>This information is a public record of broken rotor bar data meant to accompany a thesis. For more details including pictures of the test setup, please refer to the thesis document:</p> <p><strong>Type:</strong> Thesis, PhD Electrical and Computer Engineering</p> <p><strong>Title: </strong>“An intelligent monitoring system for online induction motor fault diagnostics”</p> <p><strong>Author: </strong>Peter Luong,</p> <p><strong>Year: </strong>2019</p> <p><strong>Link: </strong><a href="https://knowledgecommons.lakeheadu.ca/handle/2453/4712">https://knowledgecommons.lakeheadu.ca/handle/2453/4712</a></p>
Processed data from "Chromatin information content landscapes inform transcription factor and DNA interactions"
<p><strong>Chromatin information content landscapes inform transcription factor and DNA interactions</strong></p> <p>Authors: Ricardo D’Oliveira Albanus, Yasuhiro Kyono, John Hensley, Arushi Varshney, Peter Orchard, Jacob O. Kitzman, Stephen C. J. Parker</p> <p><a href="https://doi.org/10.1101/777532">https://doi.org/10.1101/777532</a></p> <p> </p> <p>This record contains the processed data used in our manuscript. For instructions on how to use or regenerate this data, please refer to <a href="https://github.com/ParkerLab/chromatin_information">https://github.com/ParkerLab/chromatin_information</a>.</p>
Supporting Information for Publication "Multi-band study of a bi-directional jet occurred in the upper chromosphere"
<p>This supporting information provides three observational movies from SDO/AIA, SDO/HMI, and IRIS. The evolution of the jet and the evolution of the line-of-sight magnetograms in the corresponding region can be tracked in these movies. The caption of each movie is included in 'AGUSupporting-Information_Movie.pdf'.</p>
Fig. 6. Batrachocamallanus xenopodis, photomicrographs. A in Novel information on the morphology, phylogeny and distribution of camallanid nematodes from marine and freshwater hosts in South Africa, including the description of Camallanus sodwanaensis n. sp.
Fig. 6. Batrachocamallanus xenopodis, photomicrographs. A – male, general view; B – anterior part of body, male, apical view; C – optical section at base of buccal capsule level, male, apical view; D – buccal capsule, female, lateral view; E – female, general view; F – posterior part of body, male, lateral view; G – part of body at vulva region, lateral view; H – posterior part of body, female, lateral view. Scale bars: A, E, F–H – 100, B–D – 50.
Fig. 8 in Novel information on the morphology, phylogeny and distribution of camallanid nematodes from marine and freshwater hosts in South Africa, including the description of Camallanus sodwanaensis n. sp.
Fig. 8. Phylogenetic tree of Camallanidae nematodes based on 491 nucleotides long alignments of 28 rDNA gene. Nodal support presented for Bayesian Inference and Maximum Likelihood analyses (BI/ML).
Fig. 3. Paracamallanus cyathopgharynx, photomicrographs. A in Novel information on the morphology, phylogeny and distribution of camallanid nematodes from marine and freshwater hosts in South Africa, including the description of Camallanus sodwanaensis n. sp.
Fig. 3. Paracamallanus cyathopgharynx, photomicrographs. A – anterior part of body, male, lateral view; B – buccal capsule, male, lateral view; C – anterior part of body, male, apical view; D – female, general view; E - optical section at level of buccal capsule valves mid-length, male, dorsal view; F - part of body at vulva region, lateral view; G – posterior end of body, female, lateral view; H – posterior end of body, male, lateral view. Scale bars: A–C, E–H – 100; D – 1 mm.
Fig. 1. Camallanus sodwanaensis n in Novel information on the morphology, phylogeny and distribution of camallanid nematodes from marine and freshwater hosts in South Africa, including the description of Camallanus sodwanaensis n. sp.
Fig. 1. Camallanus sodwanaensis n. sp., line-drawings. A – anterior part of body, female, lateral view; B – buccal capsule, female, lateral view; C – anterior part of body, female, apical view; D – posterior part of body, male, ventral view; E – dorsal trident, male, lateral view; F – posterior part of body, female, lateral view; G – spicules, lateral view. Scale bars: A – 500; B–D, F–G – 100; E – 50.
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.