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Fig. 1 in Integrative taxonomy helps to revise systematics and questions the purported cosmopolitan nature of the type species within the genus Diaforobiotus (Eutardigrada: Richtersiusidae)

Fig. 1 Diaforobiotus islandicus (Richters, 1904): habitus and cuticular pores seen in PCM: A adult habitus, dorso-ventral projection (neotype); B, C cuticular pores on dorsal and ventral side of the body, respectively; D pulvinus on the internal surface of leg III. Filled flat arrowheads indicate cuticular bars above the claws in legs I–III. Scale bars inμm

opencc-by-4.0Nov 2022View details →
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Fig. 8 in Integrative taxonomy helps to revise systematics and questions the purported cosmopolitan nature of the type species within the genus Diaforobiotus (Eutardigrada: Richtersiusidae)

Fig. 8 Diaforobiotus svalbardicus sp. nov.: bucco-pharyngeal apparatus seen in PCM: A dorsal projection of the entire bucco-pharyngeal apparatus; B, C dorsal (B) and ventral (C) views of the oral cavity armature; D, E dorsal (D) and ventral (E) view of macroplacoids. Empty arrows indicate dorsal spikes, filled flat arrowheads indicate the first band of teeth, empty flat arrowheads indicate the second band of teeth, filled indented arrowheads indicate the third band of teeth, empty indented arrowhead indicates the medial tooth in dorsal portion of the third band of teeth whereas filled arrows indicate constrictions in macroplacoids. Scale bars in μm

opencc-by-4.0Nov 2022View details →
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Fig. 4 in Integrative taxonomy helps to revise systematics and questions the purported cosmopolitan nature of the type species within the genus Diaforobiotus (Eutardigrada: Richtersiusidae)

Fig. 4 Diaforobiotus islandicus (Richters, 1904): eggs seen in PCM: A, C, E focus on egg processes; B, D, F focus on egg surface between processes. Pairs A–B, C–D, E–F represent three different eggs photographed with different focus. Filled flat arrowheads indicate rings of pores surrounding egg processes. Scale bars in μm

opencc-by-4.0Nov 2022View details →
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Fig. 6 in Integrative taxonomy helps to revise systematics and questions the purported cosmopolitan nature of the type species within the genus Diaforobiotus (Eutardigrada: Richtersiusidae)

Fig. 6 Diaforobiotus svalbardicus sp. nov.: habitus and cuticular pores seen in PCM: A adult habitus, dorso-ventral projection (holotype); B, C cuticular pores on dorsal and ventral side of the body, respectively (holotype). Filled flat arrowheads indicate cuticular bars above the claws in legs I–III. Scale bars in μm

opencc-by-4.0Nov 2022View details →
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Fig. 9 in A new piece in the puzzle for the riverine slugs of the Acochlidiidae (Gastropoda: Panpulmonata: Acochlidimorpha) helps tracing steps of their freshwater invasion

Fig. 9 Scanning electron microscopical images of cuticular hard parts of copulatory organ of Wallacellia siputbiru n. gen. n. sp. (holotype) and 3D reconstructions in situ (paratype). A Isolated cuticular thorn of grappling organ tip (apical row). B Two articulated thorns of upper (top, long base) and lower row (below, short base) of grappling organ tip. C Three isolated spines of grappling organ base. D Cuticular "comb" from the penis. D′ Detail of spinelets on cuticular comb. E Reconstructions of each group of cuticular elements in situ, individual plane views. Basal finger and penial stylets not observed in SEM. Abbreviations: co, cuticular comb of penis; sp, group of spines on base of grappling organ; st, stylet of basal finger; pst, retracted and partially enrolled penial stylet; th1, row of thorns of basal row; th2, row of thorns of apical row. Scale bars: (A, B, C, D′) 20 μm, E 100 μm

opencc-by-4.0Feb 2021View details →
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Figure 9. A model that helps the diagnosis prediction-Modern Tools in Patient-Centred Speech Therapy for Romanian Language

<p>We have already implemented many modules of Logo-DM, such as: data cleaning module, data transformation module, feature extraction module, data clustering module and a classification module for diagnosis prediction. &nbsp;Figure 9 shows the model achieved using a decision tree built on complex examination data that aims to predict the patient&rsquo;s diagnosis. Currently, we are testing the built models on new cases in order to estimate their quality.</p>

opencc-by-4.0Jan 2016View details →
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A Genetic Algorithm Approach to Regenerate Image from a Reduce Scaled Image Using Bit Data Count-In Figure 15 we were able to generate the symbol H without any help from a small image we used only for row and column data

<p>In Figure 15 we were able to generate the symbol H without any help from a small image we used only for row and column data.</p>

opencc-by-4.0Apr 2018View details →
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Bayesian Methodology: An overview with the help of R software

<p>Bayesian methodology differs from traditional statistical methodology which involves frequentist approach. Bayesian methodology was introduced by Thomas Bayes (Statistician and minister at the Presbyterian Chapel) during the 18<sup>th</sup> Century. Bayesian methodology is now widely being used due to its simple, straightforward and interpretable characteristics of probability values and the efficiency of modern day computer systems.</p> <p>Bayesian methodology is now being used in the field of clinical research, clinical trials, epidemiology, econometrics, statistical process control, marketing research and statistical mechanics. It also used in the emerging field such as data science (machine learning and deep learning) and big data analytics.</p> <p>The book provides an overview of Bayesian methodology, its uses in different fields with the help of R statistical open source software.</p> <p><a href="https://www.amazon.com/dp/B07QCHTR54">https://www.amazon.com/dp/B07QCHTR54</a></p> <p><strong>ISBN-13: 978-1092939898</strong></p> <p>&nbsp;</p> <p><strong>Editor</strong></p> <p><strong>International Journal of Statistics and Medical Informatics</strong></p> <p><a href="http://www.ijsmi.com/book.php"><strong>www.ijsmi.com/book.php</strong></a></p>

opencc-by-4.0Apr 2019View details →
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Helping or not Helping? Why and How Trivial Packages Impact the npm Ecosystem

<p>Developers often share their code snippets by packaging them and making them available to others through software packages. How much a package does and how big it is can be seen as positive or negative. Recent studies showed that many packages that exist in the npm ecosystem are trivial and may introduce high dependency overhead.</p> <p>Hence, one question that arises is why developers choose to publish these trivial packages. Therefore, in this paper, we perform a developer-centered study to empirically examine why developers choose to publish such trivial packages. Specifically, we ask 1) why developers publish trivial packages, 2) what they believe to be the possible negative impacts of these packages, and 3) how such negative issues can be mitigated. The survey response of 59 JavaScript developers who publish trivial npm packages showed that the main reasons for publishing these trivial packages are to provide <em>reusable components</em>, <em>testing</em> &amp; <em>documentation</em>, and <em>separation of concerns</em>. Even the developers who publish these trivial packages admitted to having issues when they publish such packages, which include the <em>maintenance of multiple packages</em>, <em>dependency hell</em>, <em>finding the right package</em>, and the <em>increase of duplicated packages</em> in the ecosystems. Furthermore, we found that the majority of the developers suggested grouping these trivial packages to cope with the problems associated with publishing them. Then, to quantitatively investigate the impact of these trivial packages on the npm ecosystem and its users, we examine grouping these trivial packages. We found that if trivial packages that&nbsp;are always used together are grouped, the ecosystem can reduce the number of dependencies by approximately 13%. Our findings shed light on the impact of publishing trivial packages and show that ecosystems and developer communities need to rethink their publishing policies since it can negatively impact the developers and the entire ecosystem.</p> <p>The published data set contains the following:</p> <ol> <li>List of identified trivial npm packages.</li> <li>The survey questions.</li> <li>The developers&#39; responses to the survey.</li> <li>The results of the co-usage analysis of trivial npm packages.</li> </ol> <p>&nbsp;</p>

opencc-by-4.0Sep 2019View details →
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Fig. 10 in New molecular data help clarify the taxonomy of Central European avian Dicrocoeliidae Looss, 1899 (Trematoda: Plagiorchiida)

Fig. 10. Representative photographs of slides with Lyperosomum turdia. Host species, sampling dates and host identification numbers are indicated. All specimens originated from the Czech Republic.

opencc-by-4.0Dec 2023View details →
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Fig. 5 in New molecular data help clarify the taxonomy of Central European avian Dicrocoeliidae Looss, 1899 (Trematoda: Plagiorchiida)

Fig. 5. Representative photographs of slides with Brachydistomum olssoni, Brachydistomum salebrosum, and Brachydistomum ventricosum. Host species, sampling dates and host identification numbers are indicated. All specimens originated from the Czech Republic.

opencc-by-4.0Dec 2023View details →
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Fig. 4 in New molecular data help clarify the taxonomy of Central European avian Dicrocoeliidae Looss, 1899 (Trematoda: Plagiorchiida)

Fig. 4. Maximum likelihood analysis of sequences of the ITS2 DNA locus of Dicrocoeliidae. Bootstrap values (n = 1000) are indicated for nodal support. Black circles indicate new sequences. The scale-bar indicates the number of substitutions per nucleotide site.

opencc-by-4.0Dec 2023View details →
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Fig. 1 in New molecular data help clarify the taxonomy of Central European avian Dicrocoeliidae Looss, 1899 (Trematoda: Plagiorchiida)

Fig. 1. Maximum likelihood analysis of sequences of the CO1 DNA locus of Dicrocoeliidae. Bootstrap values (n = 1000) are indicated for nodal support. Black circles indicate new sequences. The scale-bar indicates the number of substitutions per nucleotide site.

opencc-by-4.0Dec 2023View details →
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Fig. 3 in New molecular data help clarify the taxonomy of Central European avian Dicrocoeliidae Looss, 1899 (Trematoda: Plagiorchiida)

Fig. 3. Maximum likelihood analysis of sequences of nuclear DNA loci (28S rDNA (A) and 18S rDNA (B)) of Dicrocoeliidae. Bootstrap values (n = 1000) are indicated for nodal support. Black circles indicate new sequences. The scale-bars indicate the number of substitutions per nucleotide site.

opencc-by-4.0Dec 2023View details →
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Fig. 2 in New molecular data help clarify the taxonomy of Central European avian Dicrocoeliidae Looss, 1899 (Trematoda: Plagiorchiida)

Fig. 2. Maximum likelihood analysis of sequences of the ND1 DNA locus of Dicrocoeliidae. Bootstrap values (n = 1000) are indicated for nodal support. Black circles indicate new sequences. The scale-bar indicates the number of substitutions per nucleotide site.

opencc-by-4.0Dec 2023View details →
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Fig. 9 in New molecular data help clarify the taxonomy of Central European avian Dicrocoeliidae Looss, 1899 (Trematoda: Plagiorchiida)

Fig. 9. Representative photographs of slides with Lyperosomum petiolatum. Host species, sampling dates and host identification numbers are indicated. All specimens originated from the Czech Republic.

opencc-by-4.0Dec 2023View details →
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Fig. 7 in New molecular data help clarify the taxonomy of Central European avian Dicrocoeliidae Looss, 1899 (Trematoda: Plagiorchiida)

Fig. 7. Representative photographs of slides with Lyperosomum tenori sp. n. (upper part of the figure) and Lyperosomum hirundinis sp. n. (lower part of the figure). Host species, sampling dates and host identification numbers are indicated. All specimens originated from the Czech Republic. Photographs of L. hirundinis sp. n. are composite photographs merged from multiple images. Note that the seeming differences in forebody shape of L. tenori sp. n. individuals is caused by differences in handling with host birds prior the fixation of the trematodes - L. tenori sp. n. from hosts that were frozen prior the examination are highly susceptible to forebody prolongation.

opencc-by-4.0Dec 2023View details →
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Fig. 11 in New molecular data help clarify the taxonomy of Central European avian Dicrocoeliidae Looss, 1899 (Trematoda: Plagiorchiida)

Fig. 11. Representative photographs of slides with Stromitrema acrocephali sp. n. and Lutztrema atricapillae. Host species, sampling dates and host identification numbers are indicated. All specimens originated from the Czech Republic.

opencc-by-4.0Dec 2023View details →
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Fig. 6 in New molecular data help clarify the taxonomy of Central European avian Dicrocoeliidae Looss, 1899 (Trematoda: Plagiorchiida)

Fig. 6. Drawings of holotype specimens of Lyperosomum tenori sp. n. (A), Lyperosomum atricapillae sp. n. (B), Stromitrema acrocephali sp. n. (C), Lutztrema atricapillae sp. n. (D), and Lyperosomum hirundinis sp. n. (E–F).

opencc-by-4.0Dec 2023View details →
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Fig. 8 in New molecular data help clarify the taxonomy of Central European avian Dicrocoeliidae Looss, 1899 (Trematoda: Plagiorchiida)

Fig. 8. Representative photographs of slides with Lyperosomum atricapillae sp. n. Host species, sampling dates and host identification numbers are indicated. All specimens originated from the Czech Republic.

opencc-by-4.0Dec 2023View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record