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720 results for “Identification data”
Fig. 7. Brachistosternus diaguita n in On the southernmost high Andean scorpion species, with the identification of a cryptic new species of Brachistosternus (Bothriuridae) through morphology, molecular data and species distribution models
Fig. 7. Brachistosternus diaguita n. sp., A‒C. Telson. a. male, dorsoexternal aspect; B. male, lateral aspect; C. female, lateral aspect; D‒F. Hemipermatophore. D. left hemispermatophore, external aspect; E. left hemispermatophore, internal aspect; F. right hemispermatophore, internal aspect. Scale bars: 1 mm.
Fig. 5. A in On the southernmost high Andean scorpion species, with the identification of a cryptic new species of Brachistosternus (Bothriuridae) through morphology, molecular data and species distribution models
Fig. 5. A. Brachistosternus intermedius, pedipalp chela, male, internal aspect. B–H. Brachistosternus diaguita n. sp. B‒E. Pedipalp chela, male. B. internal aspect, C. dorsal aspect, D. external aspect, E. ventral aspect; F. Pedipalp chela, female, ventro-internal aspect. G. pedipalp patela, male, external aspect; H. pedipalp femur, male, dorsal aspect. Scale bars: 1 mm.
Fig. 6. A‒F. Metasomal segment V. A‒C. Brachistosternus diaguita n in On the southernmost high Andean scorpion species, with the identification of a cryptic new species of Brachistosternus (Bothriuridae) through morphology, molecular data and species distribution models
Fig. 6. A‒F. Metasomal segment V. A‒C. Brachistosternus diaguita n. sp., male. A. ventral aspect; B. dorso-external aspect, C. dorsal aspect; D. Brachistostenus intermedius, male, ventral aspect; E‒F. Brachistosternus montanus, male, E. dorsoexternal aspect, F. dorsal aspect. Scale bars: 1 mm.
Fig. 3 in On the southernmost high Andean scorpion species, with the identification of a cryptic new species of Brachistosternus (Bothriuridae) through morphology, molecular data and species distribution models
Fig. 3. Potential distribution of Brachistosternus species studied in this contributions A. Brachistosternus diaguita n. sp. B. Brachistosternus montanus. C. Brachistosternus intermedius. Warmer colors show areas with better predicted conditions. Black dots show the presence locations.
Fig. 2. A in On the southernmost high Andean scorpion species, with the identification of a cryptic new species of Brachistosternus (Bothriuridae) through morphology, molecular data and species distribution models
Fig. 2. A. Bayesian phylogeny of selected Brachistosternus species inferred using MrBayes. The values at the nodes are Bayesian posterior probabilities. The scale bar represents the branch lengths in substitutions per site. B. Bayesian species tree with nodeage estimates inferred using *BEAST. The values at the nodes are Bayesian posterior probabilities and the node bars represent the 95% highest posterior densities of the node age estimates. The scale axis is set to show Million years before present.
Training data for the shared task Ideology and Power Identification in Parliamentary Debates (2024)
<p>This dataset contains a selection of speeches from <a href="https://www.clarin.eu/parlamint">ParlaMint</a> corpora (version 4.0) as the training set for the shared task on "<a href="https://touche.webis.de/clef24/touche24-web/ideology-and-power-identification-in-parliamentary-debates.html">Ideology and Power Identification in Parliamentary Debates</a>" in <a href="https://clef2024.imag.fr/">CLEF 2024</a>.</p> <p>All files are tab-separated text files with the following fields:</p> <ul> <li>"<em>id</em>" is a unique (arbitrary) ID for each text.</li> <li>"<em>speaker</em>" is a unique (arbitrary) ID for each speaker. There may be multiple speeches from the same speaker.</li> <li>"<em>sex</em>" is the (binary/biological) sex of the speaker. This information is collected from varying sources (typically data published by the respective parliament), and in some cases it may be unspecified or unknown.</li> <li>"<em>text</em>" is the transcribed text of the parliamentary speech. Real examples may include line breaks, and other special sequences escaped or quoted.</li> <li>"<em>text_en</em>" is an automatic English translation of the corresponding text. This field may be empty (obviously) for speeches in English, but the translations may be missing for a small number of non-English speeches as well.</li> <li>"<em>label</em>" is the binary/numeric label. For political orientation, 0 is left and 1 is right. For power identification 0 indicates coalition (or governing party) and 1 indicates opposition.</li> </ul> <p>File names indicate the task and the parliament. We provide data from the following national and regional parliaments.</p> <ul> <li>Austria (at)</li> <li>Bosnia and Herzegovina (ba)</li> <li>Belgium (be)</li> <li>Bulgaria (bg)</li> <li>Czechia (cz)</li> <li>Denmark (dk)</li> <li>Estonia (ee) [only political orientation]</li> <li>Spain (es)</li> <li>Catalonia (es-ct)</li> <li>Galicia (es-ga)</li> <li>Basque Country (es-pv) [only power]</li> <li>Finland (fi)</li> <li>France (fr)</li> <li>Great Britain (gb)</li> <li>Greece (gr)</li> <li>Croatia (hr)</li> <li>Hungary (hu)</li> <li>Iceland (is) [only political orientation]</li> <li>Italy (it)</li> <li>Latvia (lv)</li> <li>The Netherlands (nl)</li> <li>Norway (no) [only political orientation]</li> <li>Poland (pl)</li> <li>Portugal (pt)</li> <li>Serbia (rs)</li> <li>Sweden (se) [only political orientation]</li> <li>Slovenia (si)</li> <li>Turkey (tr)</li> <li>Ukraine (ua)</li> </ul> <p>The number of training instances and the class imbalance differs for each training set. We do not provide a fixed validation split. Please see the <a href="https://touche.webis.de/clef24/touche24-web/ideology-and-power-identification-in-parliamentary-debates.html">shared task website</a> for further description of the data set and the sampling process.</p>
Data from: Research on potential disruptive technology identification based on technology network
<p><span>Three evident and meaningful characteristics of disruptive technology are the zeroing effect that causes sustaining technology useless for its remarkable and unprecedented progress, reshaping the landscape of technology and economy, and leading the future mainstream of technology system, all of which have profound impacts and positive influences. The identification of disruptive technology is a universally difficult task. Therefore, the paper aims to enhance the technical relevance of potential disruptive technology identification results and improve the granularity and effectiveness of potential disruptive technology identification topics. According to the life cycle theory, dividing the time stage, then constructing and analyzing the dynamic of technology networks to identify potential disruptive technology. Thereby, using the LDA topic model further to clarify the topic content of potential disruptive technologies. This paper takes the large civil UAVs as an example to prove the feasibility and effectiveness of the model. The results show that the potential disruptive technology in this field is the main equipment, data acquisition, and information transmission.</span></p>
Data from: Behavioral and neural measures of confidence using a novel auditory pitch identification task
<p>Observers can discriminate between correct versus incorrect perceptual decisions with feelings of confidence. The centro-parietal positivity build-up rate (CPP slope) has been suggested as a likely neural signature of accumulated evidence, which may guide both perceptual performance and confidence. However, CPP slope also covaries with reaction time, which also covaries with confidence in previous studies, and performance and confidence typically covary; thus, CPP slope may index signatures of perceptual performance rather than confidence per se. Moreover, perceptual metacognition – including neural correlates – has largely been studied in vision, with few exceptions. Thus, we lack understanding of domain-general neural signatures of perceptual metacognition outside vision. Here we designed a novel auditory pitch identification task and collected behavior with simultaneous 32-channel EEG in healthy adults. Participants saw two tone labels which varied in tonal distance on each trial (e.g., C vs D, C vs F), then heard a single auditory tone; they identified which label was correct and rated confidence. We found that pitch identification confidence varied with tonal distance, but performance, metacognitive sensitivity (trial-by-trial covariation of confidence with accuracy), and reaction time did not. Interestingly, however, while CPP slope covaried with performance and reaction time, it did not significantly covary with confidence. We interpret these results to mean that CPP slope is likely a signature of first-order perceptual processing and not confidence-specific signals or computations in auditory tasks. Our novel pitch identification task offers a valuable method to examine the neural correlates of auditory and domain-general perceptual confidence.</p>
DIPROMATS 2024 - Shared Task 2: few-shot training data for narrative identification
<p>Narratives are causally connected sequences of events that are selected and evaluated as meaningful for a particular audience. They make sense of the world by identifying the significance of people, places, objects, and events in time. In international relations, international actors create strategic narratives to “construct a shared meaning of the past, present, and future of international politics to shape the behavior of domestic and international actors”</p> <p>DIPROMATS 2024 Task 2 is a multiclass multilabel classification problem. Given a series of predefined narratives of each international actor, systems must determine which narrative the tweets belong to. Systems will receive the description of each narrative and a few examples of tweets in both languages (English and Spanish) that belong to each of them (few-shot learning). A tweet may be associated with one, several or none of the narratives.</p> <p>These are the few-shot training datasets for Englsih and Spanish.</p> <p>These files don't contain the narratives description. You can find them in the testing dataset:</p> <p>Peñas, A., Fraile-Hernández, J. M., Moral, P., Rodrigo, Á., Deriu, J., Sharma, R., Centeno, R., Rodríguez-García, R., Giedemann, P., & Reyes-Montesinos, J. (2024). DIPROMATS 2024 - Shared Task 2: testing data for narrative identification (1.0.0) [Data set]. Zenodo. <a href="https://doi.org/10.5281/zenodo.12663310" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12663310</a></p>
Data for: Identification of activating mutations in the transmembrane and extracellular domains of EGFR
<p>The epidermal growth factor receptor (EGFR) is frequently mutated in human cancer, most notably non-small-cell lung cancer and glioblastoma. While many frequently occurring EGFR mutations are known to confer constitutive EGFR activation, the situation is less clear for rarely detected variants. In fact, more than 1000 distinct EGFR mutations are listed in the Catalogue of Somatic Mutations in Cancer (COSMIC), but for most of them, the functional consequence is unknown. To identify additional, previously unknown activating mutations in EGFR, we screened a randomly mutated EGFR library for constitutive EGFR phosphorylation using a recently developed high-throughput approach termed PhosphoFlowSeq. Enrichment of the well-known activating mutations S768I, T790M, and L858R validated the experimental approach. Importantly, we also identified the activating mutations S442I and L658Q located in the extracellular and transmembrane domains of EGFR, respectively. To the best of our knowledge, neither S442I nor L658Q has been associated with an activating phenotype before. However, both have been detected in cancer samples. Interestingly, molecular dynamics (MD) simulations suggest that the L658Q mutation located in the hydrophobic transmembrane region forms intermolecular hydrogen bonds, thereby promoting EGFR dimerization and activation. Based on these findings, we screened the COSMIC database for additional hydrophilic mutations in the EGFR transmembrane region and indeed detected moderate constitutive activation of EGFR-G652R. Together, this study demonstrates that unbiased screening for activating mutations in EGFR not only yields well-established substitutions located in the kinase domain but also activating mutations in other regions of EGFR, including the extracellular and transmembrane domains.</p> <p> </p> <p>A. Wagner, E. Galicia-Andrés, M. Teufl, L. Gold, C. Obinger, P. Sykacek, C. Oostenbrink and M.W. Traxlmayr<br>Identification of activating mutations in the transmembrane and extracellular domains of EGFR<br>Biochemistry <strong>61</strong> (2022) 2049 – 2062<br>doi: <a href="https://doi.org/10.1021/acs.biochem.2c00384" target="_blank" rel="noopener">10.1021/acs.biochem.2c00384</a></p>
Supplementary data for: Identification of genes, cell types, and phenotypes under selective pressure across primate evolution
Open the record for dataset details and reuse information.
Data From "Radar-Based Deep Learning for Debris Flow Identification amid the Environmental Disturbances"
Open the record for dataset details and reuse information.
MATLAB results files of MS-based analysis and raw photometer data - Systematic identification of allosteric effectors in Escherichia coli metabolism
<p>MATLAB result tables from progress curve analysis for each of the 19 enzymes tested with 79 potential effectors metabolites in MS-based approach. Excel tables with labelled photometer data.</p>
FIGURE. Phylogenetic tree of specimens on Poaceae and related host plants constructed by MP method based on ITS+28S regions of rDNA. Bootstrap values of MP and ML are followed by the Bayesian posterior probabilities (Bpp) on the nodes in the topology. Asterisk (*) represents bootstrap values or Bpp less than 50% in the topology. Sample data are shown with voucher specimen number or GenBank accession number, and host plant. Sequence data determined in this study are shown in color. Teliospore shapes are shown in each clade detected, and new species are shown by asterisk (*) on clades. 0, I: Spermogonial and aecial host genus. Asterisk (*) on host plants: Spermogonial and aecial host plants. in Phylogenetic approach for identification and life cycles of Puccinia (Pucciniaceae) species on Poaceae from northeastern China
FIGURE. Phylogenetic tree of specimens on Poaceae and related host plants constructed by MP method based on ITS+28S regions of rDNA. Bootstrap values of MP and ML are followed by the Bayesian posterior probabilities (Bpp) on the nodes in the topology. Asterisk (*) represents bootstrap values or Bpp less than 50% in the topology. Sample data are shown with voucher specimen number or GenBank accession number, and host plant. Sequence data determined in this study are shown in color. Teliospore shapes are shown in each clade detected, and new species are shown by asterisk (*) on clades. 0, I: Spermogonial and aecial host genus. Asterisk (*) on host plants: Spermogonial and aecial host plants.
Data from: Identification and protection of puce unlined clothing with printed gold and color-painted lace
<p><span>A large number of Southern Song Dynasty costumes were unearthed from Huangsheng Tomb in Fuzhou city, Fujian Province. The unlined clothing was among funeral objects, and was made of the most common leno fabric, which was light and transparent, and the clothing was in extremely poor condition. To protect the unlined clothing, scientific evaluation and protection were carried out. Three-dimensional microscopy was used to analyze the weave structure and X-ray fluorescence spectroscopy (XRF) and indirect enzyme-linked immunosorbent assay (iELISA) were used to scientifically analyze the printed gold and color paint components of the unlined clothing. The results showed that the structure of the unlined clothing was a two-warp twisted leno, the printed gold contained Au, Cu, Fe and other elements, the colored paint contained Pb and Hg elements, and the binding material component of the colored paint was type I collagen. Based on the results of the analysis, the silk fibroin consolidation method was used to improve resistance to the stress and strain caused by the needle-thread repair method, and the </span><span>needle-thread repair method</span><span> was then used to restore the original clothing shape. This study provides a new approach for the protection of fragile silk fabrics in the future.</span></p>
Data set from study: Identification of research priorities of radiography science – A modified Delphi study in Europe
<p>Data set consists of two round Delphi study conducted in Europe. The aim of the study was to identify research priorities in radiography science. The objective was to chart the opinions of radiography experts from different fields of radiography and different countries in Europe. </p>
annotation data for art painting detection and identification
<p>Annotated art painting detection and identification image data used in the following paper:</p> <p>Hong, Y., Kim, J. Art painting detection and identification based on deep learning and image local features. <em>Multimed Tools Appl</em> <strong>78, </strong>6513–6528 (2019). https://doi.org/10.1007/s11042-018-6387-5</p> <p> </p> <p>Label format used in the dataset please refer to yolov2 </p> <pre><code><object-class> <x> <y> <width> <height></code></pre> <p>https://pjreddie.com/darknet/yolo/</p> <p>https://arxiv.org/abs/1612.08242</p>
[Suplemental Materials] Accuracy of bird identifications in citizen science data: a quantification of errors using photographic records
<p><strong>Supporting Information</strong></p> <p><strong>Appendix S1</strong>. The full dataset used in this study with a reproducible R code to perform data quality and network analyses. </p> <p><strong>Appendix S2</strong>. All species ranking of identification accuracy of photo reports submitted to eBird in Argentina. The ranking is first ordered by the minimum value found for either precision and recall scores, and second by the number of samples analyzed for each species. Species that were tagged as difficult to identify are indicated as ‘TRUE’ in column D named ‘hard_to_id’.</p> <p><strong>Appendix S3</strong>. High-resolution network (Html file).</p>
Accuracy of bird identifications in citizen science data: a quantification of errors using photographic records [R code]
<p><strong>Appendix S1</strong>. The full dataset used in this study with a reproducible R code to perform data quality and network analyses. R code archived to Zenodo for publication. </p>
Data from: Identification of candidate loci for adaptive phenotypic plasticity in natural populations of spadefoot toads
<p>Phenotypic plasticity allows organisms to alter their phenotype in direct response to changes in the environment. Despite growing recognition of plasticity's role in ecology and evolution, few studies have probed plasticity's molecular bases—especially using natural populations. We investigated the genetic basis of phenotypic plasticity in natural populations of spadefoot toads (<i>Spea multiplicata</i>). <i>Spea</i> tadpoles normally develop into an 'omnivore' morph that is favored in long-lasting, low-density ponds. However, if tadpoles consume freshwater shrimp or other tadpoles, they can develop (via plasticity) into a 'carnivore' morph that is favored in shallow, high-density ponds. By combining natural variation in pond ecology and morph production with population genetic approaches, we identified candidate loci associated with morph (carnivores versus omnivores) and loci associated with adaptive phenotypic plasticity (adaptive versus maladaptive morph choice). Our candidate morph loci mapped to two genes, whereas our candidate plasticity loci mapped to 12 genes. In both cases, the identified genes tended to have functions related to their putative role in spadefoot tadpole biology. Our results thereby form the basis for future studies into the molecular mechanisms that mediate plasticity in spadefoots. More generally, these results illustrate how diverse loci might be deployed to mediate adaptive plasticity.</p>
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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.