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Figure 1. The Structure of the Automatic Translate Voice to Sign Language Animation System-Development an Automatic Speech to Facial Animation Conversion for Improve Deaf Lives
<p>All technologies of voice recognition, speaker identification and verification, each has its<br> own advantages and disadvantages and may requires different treatments and techniques. The<br> choice of which technology to use is application-specific. At the highest level, all voice recognition<br> systems contain two main modules: feature extraction and feature matching. Feature extraction is<br> the process that extracts a small amount of data from the voice signal that can later be used to<br> represent each word. Feature matching involves the actual procedure to identify the unknown word<br> by comparing extracted features from his/her voice input with the ones from a set of known words.<br> A wide range of possibilities exist for parametrically representing the speech signal for the<br> voice recognition task, such as Linear Prediction Coding (LPC), RASTA-PLP and Mel-Frequency<br> Cepstrum Coefficients (MFCC).</p>
Рис. 5. Коррелограммы покаЗателей обилиЯ наЗемных моллюсков раЗных воЗрастных групп (1 – ювенильные; 2 – вЗрослые; 3 – все вместе): A – H. lucorum, участок № 1, 2010 г.; B – Ch. tridens, участок № 2, 2011 г.; C – Ch. tridens, участок № 4, 2012 г.); D – Ch. tridens, участок № 5, 2012 г. (достоверные оценки индекса Морана отмечены Залитыми Значками). Fig. 5. Spatial correlogram of the land snail different age groups abundance (1 – juvenile; 2 – adult; 3 – total): A – H. lucorum, site 1, 2010; B – Ch. tridens, site 2, 2011; C – Ch. tridens, site 4, 2012; D – Ch. tridens, site 5, 2012 (Moran index confidence value presented by filled signs). in Analysis of the spatial distribution patterns of the land snail populations: a geostatistic method approach
Рис. 5. Коррелограммы покаЗателей обилиЯ наЗемных моллюсков раЗных воЗрастных групп (1 – ювенильные; 2 – вЗрослые; 3 – все вместе): A – H. lucorum, участок № 1, 2010 г.; B – Ch. tridens, участок № 2, 2011 г.; C – Ch. tridens, участок № 4, 2012 г.); D – Ch. tridens, участок № 5, 2012 г. (достоверные оценки индекса Морана отмечены Залитыми Значками). Fig. 5. Spatial correlogram of the land snail different age groups abundance (1 – juvenile; 2 – adult; 3 – total): A – H. lucorum, site 1, 2010; B – Ch. tridens, site 2, 2011; C – Ch. tridens, site 4, 2012; D – Ch. tridens, site 5, 2012 (Moran index confidence value presented by filled signs).
Рис. 3. Коррелограммы покаЗателей обилиЯ наЗемного моллюска B. cylindrica раЗных воЗрастных групп (1 – ювенильные; 2 – вЗрослые; 3 – все вместе): A – участок № 1, 2010 г.; B – участок № 2, 2011 г.; C – участок № 4, 2012 г.); D – участок №5, 2012 г. (достоверные оценки индекса Морана отмечены Залитыми Значками). Fig. 3. Spatial correlogram of the land snail B. cylindrica age groups abundance (1 – juvenile; 2 – adult; 3 – total): A – site 1, 2010; B – site 2, 2011; C – site 4, 2012; D – site 5, 2012 (Moran index confidence value presented by filled signs). in Analysis of the spatial distribution patterns of the land snail populations: a geostatistic method approach
Рис. 3. Коррелограммы покаЗателей обилиЯ наЗемного моллюска B. cylindrica раЗных воЗрастных групп (1 – ювенильные; 2 – вЗрослые; 3 – все вместе): A – участок № 1, 2010 г.; B – участок № 2, 2011 г.; C – участок № 4, 2012 г.); D – участок №5, 2012 г. (достоверные оценки индекса Морана отмечены Залитыми Значками). Fig. 3. Spatial correlogram of the land snail B. cylindrica age groups abundance (1 – juvenile; 2 – adult; 3 – total): A – site 1, 2010; B – site 2, 2011; C – site 4, 2012; D – site 5, 2012 (Moran index confidence value presented by filled signs).
Fig. 3 in External Sex Specific Signs In The Structure Of Derivatives Of Sterlet (Acipenser Ruthenus, Linnaeus, 1758) Corium
Fig. 3. Typical dorsal scutes of males (upper) and females (lower) sterlet larvae. Age - 3 months. The average length is 70.3 ± 3.6 mm.
Fig. 1 in External Sex Specific Signs In The Structure Of Derivatives Of Sterlet (Acipenser Ruthenus, Linnaeus, 1758) Corium
Fig. 1. Typical contours of dorsal scutes of males (upper) and females (lower) of adult sterlet. Age - 3 years. The second stage of gonad maturity. The average length is 61.2 ± 1.3 cm.
Fig. 2 in Signs of Bacillus thuringiensis (Bacillales: Bacillaceae) infection in Myzus persicae (Hemiptera: Aphididae): Koch's postulates
Fig. 2. Infection signs in Myzus persicae caused by 4 strains of Bacillus thuringiensis. (A) Diet without B. thuringiensis strain, (B) strain GP300, (C) strain GP528, (D) strain GP402, and (E) strain GP777; (a) 24 h, (b) 48 h, (c) 60 h, and (d) 80 h. (For description, see the text.)
Fig. 1 in Signs of Bacillus thuringiensis (Bacillales: Bacillaceae) infection in Myzus persicae (Hemiptera: Aphididae): Koch's postulates
Fig. 1. Analysis of the protein profiles of the original strains and those isolated from dead aphids (10% SDS-PAGE). The first lane for a pair of numbers corresponds to the original strain, and the second lane to the strain isolated from dead aphids; (Lanes 1 and 2) GP209, (Lanes 3 and 4) GP528, (Lanes 5 and 6) GP780, (Lanes 7 and 8) GP139, (Lane 9) Cry1Ac, (Lanes 10 and 11) GP782, (Lanes 12 and 13) GP300, (Lanes 14 and 15) GP777, and (Lanes 16 and 17) GP402.
Fig. 2. Post mortem examination. Post mortem examination for typical calves showing signs associated with Theileria infection. A in Exposure of vaccinated and naive cattle to natural challenge from buffalo-derived Theileria parva
Fig. 2. Post mortem examination. Post mortem examination for typical calves showing signs associated with Theileria infection. A: Copious frothy exudate from nasal cavities of BJ031 and BJ037. B: Pleural exudate in thoracic cavities of BJ033 and BJ041. C: Frothing in trachea of BJ026 and BJ033.
Fig. 1 in Pathology, clinical signs, and tissue distribution of Toxoplasma gondii in experimentally infected reindeer (Rangifer tarandus)
Fig. 1. Brain squash picture of T. gondii tissue cyst of reindeer 2 brain visualized on compound microscopy (60×).
Fig. 2 in Pathology, clinical signs, and tissue distribution of Toxoplasma gondii in experimentally infected reindeer (Rangifer tarandus)
Fig. 2. Histological section of reindeer 3 diaphragm containing a T. gondii cyst visualized at 100× with oil immersion after immunohistochemical stain.
Systematic mapping data for translation-enabling technologies for sign languages
<p>These data correspond to the papers selected for a systematic mapping of that translation-enabling technologies for sign languages.</p>
lexibank/powerma: Evolutionary Dynamics in the Dispersal of Sign Languages
<p>CLDF dataset accompanying the study "Evolutionary Dynamics in the Dispersal of Sign Languages"</p>
GTSRB - German Traffic Sign Recognition Benchmark by Real-Time Computer Vision at Ruhr-Universität Bochum
<div> <div>The German Traffic Sign Benchmark is a multi-class, single-image classification challenge held at the International Joint Conference on Neural Networks (IJCNN) 2011. <br>Our benchmark has the following properties: <br>- Single-image, multi-class classification problem <br>- More than 40 classes<br>- More than 50,000 images in total <br>- Large, lifelike database<br><br>Acknowledgements: [INI Benchmark Website][1]<br>[1]: http://benchmark.ini.rub.de/</div> </div>
Five vital signs of normal people
<p>The csv file published contains vital signs dataset of people whom are not suffering from any diseases. Each row in the dataset related to one person, the readings measured from human body three times a day for three days ( total of nine readings per vital sign per subject ). Each time the doctor measures the 5 vital signs (Body temperature, heart rate, oxygen saturation, systolic blood pressure, diastolic blood pressure). This dataset is published under CC0 license.</p>
Thesis summary in South African Sign Language
<p>The summary of the doctoral thesis: Community-Based Co-Design for Accessible Health Information for Deaf People in a Context with Societal Complexity is presented in South Africa Sign Language to provide information accessible to Deaf people. </p>
Smoking-induced subgingival dysbiosis precedes clinical signs of periodontal disease
<p>Using 16 rRNA sequencing, a total of 233 subgingival sites from 8 smokers and 9 non-smokers over 6-12 months(804 subgingival samples total) were analyzed to study subgingival microbiome dysbiosis in smokers over time.</p>
ArabicSL-Net: A Benchmark Video Dataset for Arabic Words Sign Language
<p>The data was captured by mobile camera in four main organization namely Bank , Cafe , Hospital , and Train station. The ArabicSL-Net initially consists of 307 words recorded in approximately 30,000 videos. For each organization, we capture the most representative words that are used in those places. For Bank data, we have a total of 76 of words, while Cafe data contains 54 words. For Hospital, we collects videos for 102 words, and collects videos for 71 words in Train station.</p>
Data from: Biodiversity–ecosystem function relationships change in sign and magnitude across the Hill diversity spectrum
<p>Motivated by accelerating anthropogenic extinctions, decades of biodiversity–ecosystem function (BEF) experiments show that ecosystem function declines with species loss from local communities. Yet, at the local scale, changes in species' total and relative abundances are more common than species loss. The consensus best biodiversity measures are Hill numbers, which use a scaling parameter, ℓ, to emphasize rarer versus more common species. Shifting that emphasis captures distinct, function-relevant biodiversity gradients beyond species richness. Here, we hypothesized that Hill numbers that emphasize rare species more than richness does may distinguish large, complex and presumably higher functioning assemblages from smaller and simpler ones. In this study, we tested which values of ℓ produce the strongest BEF relationships in community datasets of ecosystem functions provided by wild, free-living organisms. We found that ℓ values that emphasized rare species more than richness does most often correlated most strongly with ecosystem functions. As emphasis shifted to more common species, BEF correlations were often weak and/or negative. We argue that unconventional Hill diversities that shift emphasis towards rarer species may be useful for describing biodiversity change, and that employing a wide spectrum of Hill numbers can clarify mechanisms underlying BEF relationships</p> <p>This article is part of the theme issue ‘Detecting and attributing the causes of biodiversity change: needs, gaps and solutions’.</p>
Signed Citation of Provenance of GBIF Occurrence Downloads referenced in Chesshire et al. 2023 doi:10.1111/ecog.06584 hash://sha256/9e3ca96d94229e20f47c14efaa59f793845aa37d9f6c698d2dd35876705e9feb hash://md5/43652e3d26989008026e092e3f04b04d
<p>Chesshire et al. 2023. scientific publication [1] used and referenced three GBIF mediated occurrence download queries [2,3,4] and associated data. However, in their GBIF records indicate that the data associated with the three download queries are slated for removal at any point after 2021-08-03 . This publication explicitly references the DOIs associated with [2,3,4] and documents the provenance of their associated meta-data records. The provenance was captured using Preston [5,6], a biodiversity dataset tracker. </p> <p>The signed citation of this provenance publication can be derived from:</p> <pre><code class="language-bash">preston history\ --anchor hash://sha256/9e3ca96d94229e20f47c14efaa59f793845aa37d9f6c698d2dd35876705e9feb\ --remote https://zenodo.org/record/7849559/files</code></pre> <pre><code><hash://sha256/f2d8bdaec7a416a0039e9398cf07c6fa69083f64a6f22de3f252ebb5dd4fd412> <http://www.w3.org/ns/prov#wasDerivedFrom> <hash://sha256/c457565ea0cec7b0392f1271fcda08440919f03bbf29bb8df1eb926c78a972cc> . <urn:uuid:0659a54f-b713-4f86-a917-5be166a14110> <http://purl.org/pav/hasVersion> <hash://sha256/c457565ea0cec7b0392f1271fcda08440919f03bbf29bb8df1eb926c78a972cc> .</code></pre> <p>And their tracked content include, as obtained via </p> <pre><code class="language-bash">preston alias\ --anchor hash://sha256/9e3ca96d94229e20f47c14efaa59f793845aa37d9f6c698d2dd35876705e9feb\ --remote https://zenodo.org/record/7849559/files</code></pre> <table> <caption>Tracked content associated with hash://sha256/9e3ca96d94229e20f47c14efaa59f793845aa37d9f6c698d2dd35876705e9feb</caption> <tbody> <tr> <td>content location</td> <td>content relation</td> <td>content id</td> </tr> <tr> <td>https://doi.org/10.15468/dl.6cxfsw</td> <td>http://purl.org/pav/hasVersion</td> <td>hash://sha256/6b8b5f79af53dee98c3654b945389628194c9e9f0ad610852327574b3f99ff7a</td> </tr> <tr> <td>https://doi.org/10.15468/dl.b9rfa7</td> <td>http://purl.org/pav/hasVersion</td> <td>hash://sha256/a74cfe8a6c6b7d2361f41cc04979c262b5fbba60c0992253ae78fe6d31f414bb</td> </tr> <tr> <td>https://doi.org/10.15468/dl.w2nndm</td> <td>http://purl.org/pav/hasVersion</td> <td>hash://sha256/6a587a219e78ff2674fbb54d99fed48c21b77bc46608d8f991e79ee06a547fac</td> </tr> <tr> <td>https://api.gbif.org/v1/occurrence/download/0182006-200613084148143</td> <td>http://purl.org/pav/hasVersion</td> <td>hash://sha256/1c5d8a7399793a634a0dde32f3a94ccf64199f010d7f93baa422c2e1dbb98b2f</td> </tr> <tr> <td>https://api.gbif.org/v1/occurrence/download/0182032-200613084148143</td> <td>http://purl.org/pav/hasVersion</td> <td>hash://sha256/23d7c875420bea71d24c1ec3ba127f91eff5b368744de14824de0fc4fc090bb2</td> </tr> <tr> <td>https://api.gbif.org/v1/occurrence/download/0182076-200613084148143</td> <td>http://purl.org/pav/hasVersion</td> <td>hash://sha256/6555d581e0ce75c77740811e547da726297d02369b149893faf531f132a2aff0</td> </tr> <tr> <td>https://api.gbif.org/v1/occurrence/download/0182006-200613084148143</td> <td>http://purl.org/pav/hasVersion</td> <td>hash://sha256/2c4c4f4cd1151bc65394466416b066c19422fe22b8eb64c5c144fb7889ea2f16</td> </tr> <tr> <td>https://api.gbif.org/v1/occurrence/download/0182032-200613084148143</td> <td>http://purl.org/pav/hasVersion</td> <td>hash://sha256/e4e9742259e9232c773ab157e34af1cfebfd09050effb49c15db032057fc5750</td> </tr> <tr> <td>https://api.gbif.org/v1/occurrence/download/0182076-200613084148143</td> <td>http://purl.org/pav/hasVersion</td> <td>hash://sha256/20915d475c63fa6f96ab127ff5efb5554df40208596244349d110432b478168b</td> </tr> <tr> <td>https://api.gbif.org/v1/occurrence/download/request/0182006-200613084148143.zip</td> <td>http://purl.org/pav/hasVersion</td> <td>hash://sha256/d14a14e549e3caa8965daecad6fcb0cfddd4be12fb78a495b248c380df41db9b</td> </tr> <tr> <td>https://api.gbif.org/v1/occurrence/download/request/0182032-200613084148143.zip</td> <td>http://purl.org/pav/hasVersion</td> <td>hash://sha256/3fc1b6491813f5d7e2d32b7c6cadb1ae60558f31a4489e23735c43bd74ed4db6</td> </tr> <tr> <td>https://api.gbif.org/v1/occurrence/download/request/0182076-200613084148143.zip</td> <td>http://purl.org/pav/hasVersion</td> <td>hash://sha256/7ddea84a67329ec8eea389d09798e5b6d60d86c39b975590f117679cdbbe8e20</td> </tr> </tbody> </table> <p>This data publication, and associated tracked content, can be cloned using:</p> <pre><code class="language-bash">preston clone https://zenodo.org/record/7849559/files</code></pre> <p><br> Note that the original publication dated 2023-04-03 did *not* include the associated tracked data retrieved from https://api.gbif.org/v1/occurrence/download/request/0182006-200613084148143.zip, https://api.gbif.org/v1/occurrence/download/request/0182032-200613084148143.zip, https://api.gbif.org/v1/occurrence/download/request/0182076-200613084148143.zip. However, on 2023-03-17, the data associated with [2], [3], [4] were still marked for deletion in the GBIF ecosystem, two weeks after the respective DOIs were first cited in the v0.1 of this data publication. This 2023-03-17 publication includes tracked content that shows the associated data is marked for deletion, and contains the associated data archives. </p> <p>The example below shows a tracked versions of the metadata associated with the download request/query doi:10.15468/dl.w2nndm [4] indicates that the associated data is scheduled to be "eraseAfter" "2021-08-03T19:18:46.611+00:00". </p> <pre><code class="language-bash">preston cat\ --remote https://zenodo.org/record/7837572/files\ hash://sha256/6555d581e0ce75c77740811e547da726297d02369b149893faf531f132a2aff0\ | jq .</code></pre> <p> </p> <pre><code class="language-json">{ "key": "0182076-200613084148143", "doi": "10.15468/dl.w2nndm", "license": "http://creativecommons.org/licenses/by-nc/4.0/legalcode", "request": { "predicate": { "type": "and", "predicates": [ { "type": "equals", "key": "DATASET_KEY", "value": "e05f6e7d-418e-4407-8e0f-7b8ccf21109e", "matchCase": false }, { "type": "or", "predicates": [ { "type": "equals", "key": "TAXON_KEY", "value": "4334", "matchCase": false }, { "type": "equals", "key": "TAXON_KEY", "value": "4345", "matchCase": false }, { "type": "equals", "key": "TAXON_KEY", "value": "7911", "matchCase": false }, { "type": "equals", "key": "TAXON_KEY", "value": "7908", "matchCase": false }, { "type": "equals", "key": "TAXON_KEY", "value": "7901", "matchCase": false }, { "type": "equals", "key": "TAXON_KEY", "value": "7905", "matchCase": false } ] } ] }, "sendNotification": true, "format": "DWCA", "type": "OCCURRENCE", "verbatimExtensions": [] }, "created": "2021-02-03T19:18:46.687+00:00", "modified": "2021-02-03T19:20:03.899+00:00", "eraseAfter": "2021-08-03T19:18:46.611+00:00", "status": "SUCCEEDED", "downloadLink": "https://api.gbif.org/v1/occurrence/download/request/0182076-200613084148143.zip", "size": 2624689, "totalRecords": 11654, "numberDatasets": 1 }</code></pre> <p>Also, on after (re-)running</p> <pre><code class="language-bash">preston track\ https://doi.org/10.15468/dl.6cxfsw\ https://doi.org/10.15468/dl.b9rfa7\ https://doi.org/10.15468/dl.w2nndm</code></pre> <p>on 2023-04-20, the download record metadata retrieved from https://api.gbif.org/v1/occurrence/download/0182006-200613084148143 and associated with https://doi.org/10.15468/dl.6cxfsw appeared to no longer be marked for deletion, as shown by the difference between a pre-2023-04-20 version (i.e. hash://sha256/1c5d8a7399793a634a0dde32f3a94ccf64199f010d7f93baa422c2e1dbb98b2f) with the newly retrieved response on 2023-04-20 (i.e., hash://sha256/2c4c4f4cd1151bc65394466416b066c19422fe22b8eb64c5c144fb7889ea2f16).</p> <p>The difference is highlighted below using the diff and preston tools via</p> <pre><code class="language-bash">diff\ <(preston cat hash://sha256/2c4c4f4cd1151bc65394466416b066c19422fe22b8eb64c5c144fb7889ea2f16 | jq .)\ <(preston cat hash://sha256/1c5d8a7399793a634a0dde32f3a94ccf64199f010d7f93baa422c2e1dbb98b2f | jq .)</code></pre> <p>yielding:</p> <pre><code class="language-diff">116c116,117 < "modified": "2023-04-18T08:09:09.757+00:00", --- > "modified": "2021-02-03T18:00:50.416+00:00", > "eraseAfter": "2021-08-03T17:50:18.453+00:00",</code></pre> <p> This observation is consistent with the 2023-04-18 claim by Daniel Noesgaard [7] that associated download records are no longer marked for deletion.</p> <p><strong>References </strong></p> <p>[1] Chesshire, P.R., Fischer, E.E., Dowdy, N.J., Griswold, T.L., Hughes, A.C., Orr, M.C., Ascher, J.S., Guzman, L.M., Hung, K.-L.J., Cobb, N.S. and McCabe, L.M. (2023), Completeness analysis for over 3000 United States bee species identifies persistent data gap. Ecography e06584. <a href="https://doi.org/10.1111/ecog.06584">https://doi.org/10.1111/ecog.06584</a></p> <p>[2] GBIF.org (3 February 2021) GBIF Occurrence Download <a href="https://doi.org/10.15468/dl.6cxfsw">https://doi.org/10.15468/dl.6cxfsw</a></p> <p>[3] GBIF.org (3 February 2021) GBIF Occurrence Download <a href="https://doi.org/10.15468/dl.b9rfa7">https://doi.org/10.15468/dl.b9rfa7</a></p> <p>[4] GBIF.org (3 February 2021) GBIF Occurrence Download <a href="https://doi.org/10.15468/dl.w2nndm">https://doi.org/10.15468/dl.w2nndm</a></p> <p>[5] MJ Elliott, JH Poelen, JAB Fortes (2020). Toward Reliable Biodiversity Dataset References. Ecological Informatics. <a href="https://doi.org/10.1016/j.ecoinf.2020.101132">https://doi.org/10.1016/j.ecoinf.2020.101132</a></p> <p>[6] Elliott, M. J., Poelen, J. H., & Fortes, J. (2022, August 29, accepted with minor revisions). Signed Citations: Making Persistent and Verifiable Citations of Digital Scientific Content. <a href="https://doi.org/10.31222/osf.io/wycjn">https://doi.org/10.31222/osf.io/wycjn</a></p> <p>[7] Noesgaard, D. 2023. https://discourse.gbif.org/t/data-queries-doi-10-15468-dl-6cxfsw-doi-10-15468-dl-b9rfa7-doi-10-15468-dl-w2nndm-used-in-chesshire-et-al-2023-were-cited-but-remain-marked-for-deletion/3915/2 accessed at 2023-04-20 .</p>
Greek Elementary Sign Language Dataset
<p>Entails the course material of the first years of elementary school in Greece. It includes 29.653 signed phrases that are present in the 33 issues of 13 distinct textbooks of the A, B and C years of Primary school.</p> <p>The Elementary Dataset consists of the following courses:</p> <p>9499 videos of Greek Language (1st, 2nd and 3rd year)<br> 6581 videos of Mathematics (1st, 2nd and 3rd year)<br> 4158 videos of Anthology of Greek Literacy (1st, 2nd, 3rd and 4th year)<br> 5521 videos of Environmental Studies (1st, 2nd and 3rd year)<br> 2067 videos of History (3rd year)<br> 1825 Videos of Religious Study (3rd year)</p> <p><br> Version 3 - Major Features and Improvements</p> <p>Converted Video format and Video FPS<br> Removed English words and characters<br> Improved Transcriptions</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.