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20,299 results for “Systematic”
Supplemental text for: Wuchiapingian (Lopingian, Late Permian) brachiopod fauna from Guangdong Province, southeastern China: systematics and contribution to the Lopingian recovery
<p><span>A most diversified Wuchiapingian brachiopod fauna, which contains 57 species in 28 genera, is described from the Shuizhutang Formation at Liannan section, Guangdong province, southeastern China. Four new species are proposed. Among these 57 species, many of them have been fully described in recent papers and thus are only illustrated in the manuscript and described herein.</span></p>
Automated systematic evaluation of cryo-EM specimens with SmartScope - Training data for hole detector
<p>Training data for hole detector<br> =======================</p> <p>This dataset includes 36 images.<br> Circles are annotated in COCO format.</p> <p>The following pre-processing was applied to each image:<br> * Auto-orientation of pixel data (with EXIF-orientation stripping)</p> <p>The following augmentation was applied to create 1 versions of each source image:<br> * 50% probability of horizontal flip</p>
Automated systematic evaluation of cryo-EM specimens with SmartScope - Training data for square detector
<p>Training data for square detector<br> =========================</p> <p>This dataset includes 26 images.<br> Squares are annotated in COCO format.</p> <p>The following pre-processing was applied to each image:<br> * Auto-orientation of pixel data (with EXIF-orientation stripping)</p> <p>The following augmentation was applied to create 1 versions of each source image:<br> * 50% probability of horizontal flip<br> * Equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise</p>
A bibliometric analysis of systematic reviews and meta-analyses in ophthalmology, from 2000 to 2020
<p><span>Objectives:</span><span> To establish the scientometric landscape of </span><span>systematic reviews and meta-analyses (SRMAs) published in the field of ophthalmology over time.</span></p> <p><span>Results</span><span>: A total of 2,660 SRMAs were included, and t</span><span>he average annual growth rate was 21.26%. </span><span>China and the USA were the most productive countries, while </span><span>Singapore was</span><span> the country with the highest </span><span>average citations per document. Wong TY was not only the most productive, but also the most frequently cited author. The most productive affiliation was National University of Singapore (n=236). SRMA output in most subspecialties had steadily increased with retina/vitreous (n=986), glaucoma (n=411) and cornea/external diseases (n=303) constantly as the most dominant fields. Rates of </span><span>pre-registration and guideline compliance had dramatically increased over time</span><span>, with 20.0% and 63.5% of SRMA being pre-registered and reported guideline in 2020, respectively. However, SRMAs published on ophthalmic journals tended to be less frequently pre-registered and guideline complied than those on non-ophthalmic journals (both P < 0.05).</span></p> <p><span>Conclusions</span><span>:</span><span> The annual output of SRMAs has been rapidly increasing over the past two decades. China and the USA were the most productive countries, whereas Singapore had the most prolific and influential scholar and institution. R</span><span>aising awareness and </span><span>implementation </span><span>of SRMA pre-registration and guideline compliance </span><span>is still necessary to ensure quality, especially for ophthalmic journals.</span></p>
Systematic reviews published before 2021 in The Lens.org database
<p>Results of a search in The Lens.org 06.08.2022: (https://link.lens.org/gNCMHYT5s3)</p> <p>{<br> "q": "(title:(\"systematic review*\") OR abstract:(\"systematic review*\") OR keyword:(\"systematic review*\") OR field_of_study:(\"systematic review*\")) OR (title:(\"systematically review*\") OR abstract:(\"systematically review*\") OR keyword:(\"systematically review*\") OR field_of_study:(\"systematically review*\")) OR (title:(\"systematic literature review*\") OR abstract:(\"systematic literature review*\") OR keyword:(\"systematic literature review*\") OR field_of_study:(\"systematic literature review*\"))",<br> "st": true,<br> "publishedYear.to": "2021"<br> }</p>
A systematic assessment of deep learning methods for drug response prediction: from in-vitro to clinical application
<p>https://github.com/LihongLab/Suppl-data-Benchmark</p> <p>## GDSC dataset</p> <p>**Table S3.** GDSC gene expression profiles for 966 cancer cell lines, where each column represents a cell line in the form of its name and tissue collection site, and each row represents a gene in the form of the HGNC symbol.</p> <p> </p> <p>**Table S4.** GDSC gene mutation profiles for 966 cancer cell lines, where each column represents a cell line in the form of its name and tissue collection site, and each row represents a gene in the form of the HGNC symbol. The wild type is coded as 1 and the wild type as 0.</p> <p> </p> <p>**Table S5.** GDSC copy number variation profiles for 966 cancer cell lines, where each column represents a cell line in the form of its name and tissue collection site, and each row represents a gene in the form of the HGNC symbol. The copy-neutral is coded as 0 and the deletion or amplification as 1.</p> <p> </p> <p>**Table S6.** GDSC drug response data for 966 cancer cell lines and 282 drugs in the form of the natural logarithm of the IC50 readout. The first column shows the cell line name and tissue collection site, the second column shows the drug name, and the third column shows the drug response readout.</p> <p> </p> <p>**Table S7.** GDSC annotations for 282 drugs include drug name, PubChem CID, PubChem canonical SMILES, Rdkit canonical SMILES, Target Pathway, standard deviation, bimodality coefficient and density coverage.</p> <p>## TCGA dataset</p> <p>**Table S8.** TCGA gene expression profiles, where each column represents a patient in the form of TCGA patient ID, and each row represents a gene in the form of the HGNC symbol.</p> <p> </p> <p>**Table S9.** TCGA gene mutation profiles, where each column represents a patient in the form of TCGA patient ID, and each row represents a gene in the form of the HGNC symbol. The wild type is coded as 1 and the wild type as 0.</p> <p> </p> <p>**Table S10.** TCGA copy number variation profiles, where each column represents a patient in the form of TCGA patient ID, and each row represents a gene in the form of the HGNC symbol. The copy-neutral is coded as 0 and the deletion or amplification as 1.</p> <p> </p> <p>**Table S11.** TCGA clinical response data. The first column shows the TCGA patient ID, the second column shows the drug name, the third column shows the clinical response category, the fourth column shows the cancer type, and the last column shows the clinical label as responder or non-responder.</p>
Does mechanical loading restore ligament biomechanics after injury? A systematic review of studies using animal models
<p>This RevMan file accompanies our manuscript entitled "Does mechanical loading restore ligament biomechanics after injury? A systematic review of studies using animal models" published in <em>BMC Musculoskeletal Disorders</em>.</p> <p>The file hosts all outcomes (i.e., including tertiary outcomes) under "Data and analyses", as well as more detailed forest plots under "Figures". </p>
Figs 1, 2 in Systematic position of the genus Vologdoptera Aristov, 2009 (Orthoptera: Pruvostitidae) from Upper Permian of Russia
Figs 1, 2. Forewing of Vologdoptera maculata Aristov, 2009. 1 – holotype PIN, No
Characterization data for the manuscript: "Using genetic algorithms to systematically improve the synthesis conditions of Al-PMOF"
<p>Visualize the data in this dataset: <a href="https://www.c6h6.org/zenodo/record/?id=7186602">open entry</a>.</p>
Learners' perspective of microcredentials: a systematic review - Dataset
<p>This dataset document includes all the stages of data analysis. Articles were indexed in the following social sciences reference databases: SCOPUS, ISI Web of Science and Google Scholar. A snowball technique was also used. A search was conducted using different combinations of key terms grouped into three blocks closely related to the research questions:</p> <ul> <li><strong>Search block 1: </strong>SLE and micocredentials.</li> <li><strong>Search block 2:</strong> Learners’ drivers, motivations and preferences</li> <li><strong>Search block 3: </strong>Higher education settings</li> </ul> <p>The inclused criteria included publications:</p> <ul> <li>Published in the last 5 years (2018 to April 2022).</li> <li>English or Spanish publications.</li> <li>Peer-reviewed articles.</li> <li>Publications that provide primary data on the learners' drivers / motivations for pursuing SLE, or related keywords.</li> <li>Studies related, partially or totally, to higher education settings.</li> <li>The full text is available for the UOC institution.</li> </ul> <p>48 publications were finally selected. This database describes the whole process of selection and extraction of information from the articles.</p>
Supporting Information for the Journal Article "Systematic microsolvation approach with a cluster-continuum scheme and conformational sampling"
<p>This dataset contains the supporting information published together with the article "Systematic microsolvation approach with a cluster-continuum scheme and conformational sampling" (<a href="https://doi.org/10.1002/jcc.26161"><em>J. Comput. Chem.</em>, <strong>2020</strong>, <em>41</em>, 1144</a>).</p>
Multiple origin of the Phaenonotum beetles in the Greater Antilles (Coleoptera: Hydrophilidae): phylogeny, biogeography and systematics
<p>The systematics and the phylogenetic position of the Caribbean representatives of <em>Phaenonotum</em> Sharp (Coleoptera: Hydrophilidae) are investigated in order to understand the composition of the Caribbean fauna and its origin. Phylogenetic analysis based on mitochondrial and nuclear genes has revealed the Caribbean species to be situated in three deeply nested clades, inferring multiple colonization of Caribbean islands from the continent. Time-tree analysis and BioGeoBEARS analyses of ancestral ranges estimated the oldest clade, consisting of wingless single-island endemics of Cuba (<em>P. delgadoi</em>), Jamaica (<em>P. ondreji</em> <strong>sp. nov.</strong>) and Hispaniola (<em>P. laterale</em> <strong>sp. nov.</strong>), to have diverged ca. 46.6 Ma from the South American ancestor and subsequently colonizing the Caribbean most likely via the GAARlandia land bridge connecting South America with Greater Antilles. The remaining three Caribbean species, including the Puerto Rican endemic, <em>P. borinquenum</em> <strong>sp. nov.</strong>, are of more recent (Miocene to Pliocene) origin and colonized the Greater Antilles by over-water dispersal. All the Caribbean species are illustrated and diagnosed and three new species are described. The genus <em>Phaenonotum</em>, excluding <em>P. caribense</em> Archangelsky, is confirmed as a monophylum. We demonstrate that species-level taxonomy of <em>Phaenonotum</em> is difficult to solve by morphology alone, and ideally requires the combination of morphology and molecular markers.</p>
Fig. 5 in Phylogenetic analysis and systematics of the Acrapex unicolora Hampson species complex (Lepidoptera, Noctuidae, Noctuinae, Apameini), with the description of Fve new species from the Afrotropics
Fig. 5. Major bioregions, modifed after Linder et al. (2012).
Fig. 4 in Phylogenetic analysis and systematics of the Acrapex unicolora Hampson species complex (Lepidoptera, Noctuidae, Noctuinae, Apameini), with the description of Fve new species from the Afrotropics
Fig. 4. Distribution map of sampled specimens of Acrapex Hampson, 1891.
A Systematic Approach for Performance Assessment Using Process Mining
<p>The datasets include the detailed results of the performance analysis of the Posidonia Operations case study:</p> <ul> <li>Parser scenario (PosidoniaParserResults-2017)</li> <li>CEP scenario (PosidoniaCEPresults-2017)</li> </ul>
Soft tissue changes in extraction versus non-extraction treatment with fixed orthodontic appliances: a systematic review and meta-analysis
<p>Export of the dataset used in Stata to conduct all meta-analyses reported in the published paper.</p>
FIG. 2 in Systematics, palaeoecology and taphonomy of Turonian oysters from the northern Gabon Coastal Basin
FIG. 2. — Lithostratigraphy of the PK 12 section plotted against occurrence of oysters, gastropods and bivalve.
StArt_Protocol - Phytoparasitic nematodes of Musa spp. with emphasis on sources of genetic resistance: a systematic review
<p>Protocolo do StArt da revisão sistemática Phytoparasitic nematodes of Musa spp. with emphasis on sources of genetic resistance: a systematic review</p>
FIGURE 7 in Systematics of Mendoncia (Acanthaceae: Thunbergioideae) in the Paleotropics
FIGURE 7. Map of central Africa showing distributions of Mendoncia combretoides and M. lindaviana.
FIGURE 18 in Systematics of Mendoncia (Acanthaceae: Thunbergioideae) in the Paleotropics
FIGURE 18. Map of central Africa showing distribution of Mendoncia phytocrenoides.
ScienceDex guides
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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.