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5,738 results for “Standards”
FIGURE 1 in Standardization and revision of morphological structures terminology for Glyphocrangonidae (Decapoda: Caridea)
FIGURE 1. Schematic dorsal view of a Glyphocrangonidae with the terminology of the morphological structures. Rostrum: DLR, Dorsolateral Ridge; LRTA, Lateral Rostral Tooth Anterior; LRTP, Posterior Lateral Rostral Tooth; MRC, Middorsal Rostral Carina; Carapace: ACA, Antennal Carina Anterior; ACP, Antennal Carina Posterior; AL, Acute Lamina; AG, Anterior Groove; AMT, Anteromedian Tubercle; AS, Antennal Spine; CG, Cervical Groove; ICA, Intermediate Carina Anterior; ICP, Intermediate Carina Posterior; LGR, Lower Gastric Region; MGR, Middorsal Gastric Region; PDR, Posterior Dorsolateral Region; PMR, Posterior Middle Region; SCA, Submedian Carina Anterior; SCP, Submedian Carina Posterior; UBR, Upper Brachial Region. Abdomen: ART, Anterior Region of Tergum; DAC, Dorsolateral Abdominal Carina; DAC, Dorsolateral Abdominal Carina; DACA, Dorsolateral Abdominal Carina Anterior; DACP, Dorsolateral Abdominal Carina Posterior; LAC, Lateral Abdominal Carina; MAC, Middorsal Abdominal Carinae; MACA, Middorsal Abdominal Carina Anterior; MACP, Middorsal Abdominal Carina Posterior; ME, Median Elevation; PRT, Posterior Region of Tergum; PT, Posteroventral Tooth; SACP, Submedian Abdominal Carina Posterior; TGA, Transverse Groove Anterior; TGP, Transverse Groove Posterior. Telson: AP, Anterior Projection; DRT, Dorsolateral Ridge of Telson; VR, Ventrolateral Ridge.
FIGURE 4 in Standardization and revision of morphological structures terminology for Glyphocrangonidae (Decapoda: Caridea)
FIGURE 4. Schematic lateral view of the abdomen from a Glyphocrangonidae with the terminology of the morphological structures. Abdomen: ATC, Anteroventral Corner; ATP, Ateroventral Projection; AVR, Anterior Vertical Ridge; DAC, Dorsolateral Abdominal Carina; DACA, Dorsolateral Abdominal Carina Anterior; DACP, Dorsolateral Abdominal Carina Posterior; DL, Dorsal Lobe; LAC, Lateral Abdominal Carina; LACA, Lateral Abdominal Carina Anterior; LACP, Lateral Abdominal Carina Posterior; LVAC, Lateroventral Abdominal Carina; MAC, Middorsal Abdominal Carina; MACA, Middorsal Abdominal Carina Anterior; MACP, Middorsal Abdominal Carina Posterior; PLE, Pleura Lateral Elevation; PD, Posterior Depression; PT, Posteroventral Tooth; PVT Pleural Ventral Teeth; SAC, Submedian Abdominal Carina; RTA, Region of Tergum Anterior; RTP, Region of Tergum Posterior; SACA, Submedian Carina Abdominal Anterior e SACP, Submedian Carina Abdominal Posterior; VL, Ventral Lobe. Telson: AP, Anterior Projection.
Supplementary material 3 from: Abarenkov K, Adams RI, Irinyi L, Agan A, Ambrosio E, Antonelli A, Bahram M, Bengtsson-Palme J, Bok G, Cangren P, Coimbra V, Coleine C, Gustafsson C, He J, Hofmann T, Kristiansson E, Larsson E, Larsson T, Liu Y, Martinsson S, Meyer W, Panova M, Pombubpa N, Ritter C, Ryberg M, Svantesson S, Scharn R, Svensson O, Töpel M, Unterseher M, Visagie C, Wurzbacher C, Taylor AFS, Kõljalg U, Schriml L, Nilsson RH (2016) Annotating public fungal ITS sequences from the built environment according to the MIxS-Built Environment standard – a report from a May 23-24, 2016 workshop (Gothenburg, Sweden). MycoKeys 16: 1-15. https://doi.org/10.3897/mycokeys.16.10000
Krona chart : Explanation note: Interactive Krona chart for visualizing the taxonomic distribution of annotated BMS sequences down to order level. Sequences classified as Fungi sp. (36.4%) or non-fungal (0.9%) were excluded from this dataset.
Supplementary material 1 from: Abarenkov K, Adams RI, Irinyi L, Agan A, Ambrosio E, Antonelli A, Bahram M, Bengtsson-Palme J, Bok G, Cangren P, Coimbra V, Coleine C, Gustafsson C, He J, Hofmann T, Kristiansson E, Larsson E, Larsson T, Liu Y, Martinsson S, Meyer W, Panova M, Pombubpa N, Ritter C, Ryberg M, Svantesson S, Scharn R, Svensson O, Töpel M, Unterseher M, Visagie C, Wurzbacher C, Taylor AFS, Kõljalg U, Schriml L, Nilsson RH (2016) Annotating public fungal ITS sequences from the built environment according to the MIxS-Built Environment standard – a report from a May 23-24, 2016 workshop (Gothenburg, Sweden). MycoKeys 16: 1-15. https://doi.org/10.3897/mycokeys.16.10000
Keywords used to identify fungal sequences from the built environment in the INSDC : Explanation note: Keywords used to identify fungal sequences from the built environment in the INSDC.
Supplementary material 2 from: Abarenkov K, Adams RI, Irinyi L, Agan A, Ambrosio E, Antonelli A, Bahram M, Bengtsson-Palme J, Bok G, Cangren P, Coimbra V, Coleine C, Gustafsson C, He J, Hofmann T, Kristiansson E, Larsson E, Larsson T, Liu Y, Martinsson S, Meyer W, Panova M, Pombubpa N, Ritter C, Ryberg M, Svantesson S, Scharn R, Svensson O, Töpel M, Unterseher M, Visagie C, Wurzbacher C, Taylor AFS, Kõljalg U, Schriml L, Nilsson RH (2016) Annotating public fungal ITS sequences from the built environment according to the MIxS-Built Environment standard – a report from a May 23-24, 2016 workshop (Gothenburg, Sweden). MycoKeys 16: 1-15. https://doi.org/10.3897/mycokeys.16.10000
Annotations made during the workshop : Explanation note: The annotations made during the workshop shown with original INSDC data. For the BMS, we targeted nine MIxS-BE items plus country of collection, host of collection, host association, and a general "Comment" field. For the OMS, we targeted country of collection, host of collection, host association, and a general "Comment" field.
Pickled version of standard MARCS (2011) model atmospheres
<p>Only standard models (spherical and plane parallel) are included with 1.0 Solar mass and microturbulence of 2.0 km/s.</p> <p> </p>
Standard analysis of the OCCA2 ocean state estimate (1980-2023)
<p>OCCA2 is an estimate of the time-variable ocean state over the 1980-2023 period. This repository contains standard views of the OCCA2 estimate, generated by the <a href="https://github.com/JuliaOcean/OceanStateEstimation.jl">OceanStateEstimation.jl</a> Julia pacakge.</p> <p>Reference : Gael Forget. Energy Imbalance in the Sunlit Ocean Layer, 11 April 2024, PREPRINT (Version 1), <a href="https://doi.org/10.21203/rs.3.rs-3979671/v1">https://doi.org/10.21203/rs.3.rs-3979671/v1</a></p> <p> </p>
Supporting data for: "mtGrasp: Streamlined mitochondrial genome reference-grade assembly and standardization to enhance mitogenome resources and improve the development of environmental DNA assays"
<p>Here, we provide supporting data for the manuscript "mtGrasp: Streamlined mitochondrial genome reference-grade assembly and standardization to enhance mitogenome resources and improve the development of environmental DNA assays".</p> <p>Phylogenetic_analysis.tar.gz contains the script and fasta files used for the phylogenetic analysis, and Mitogenomes.tar.gz contains the mitochondrial sequences utilized that are not publicly available in GenBank.</p>
Service Management overview and layers according to the FitSM family of standards
<p>Service Management overview and layers according to the FitSM family of standards</p>
OTTR standard type hierarchy
<p>The standard type hierarchy of the OTTR framework.</p>
"Play by Play": a dataset of handball and basketball game situations in a standardized space
<p>Synthetic dataset of labeled game situations present in recordings of federated handball and basketball matches played in Galicia, Spain. The dataset consists of synthetic data generated from real video frames, including 308,805 labeled handball frames and 56,578 labeled basketball frames extracted from 2,105 handball and 383 basketball 5-second video clips.</p> <p>For each frame, the dataset includes player positions and directions (x, y, vx, vy), and ball position (referees are also considered as players, we do not distinguish teams or players from referees). For each tuple there is an associated game situation: right/left attack, right/left counterattack, right/left penalty and time out.</p>
IVD-SEG:Standardized Datasets for Industrial Vision Defect Segmentation
<h1> </h1> <h1>Code[<a href="https://github.com/KLIVIS/IVD-SEG">Github</a>]</h1> <h1>abstract</h1> <p>We introduce IVD-SEG, a dataset encompassing defect images from 43 different industrial products, totaling 5686 images, spanning tasks that include binary and multiclass segmentation. Within IVD-SEG, we meticulously propose 12 sub-datasets, including two newly developed datasets by our team. Serving as a large-scale standardized industrial defect image dataset, all images are unified to a 256 × 256 size, accompanied by semantic segmentation annotations. This standardization facilitates users unfamiliar with industrial product defects to utilize the dataset, allowing them to focus on exploring algorithmic performance on the IVD-SEG dataset. To our knowledge, the dataset we propose is currently the most comprehensive and voluminous compilation of industrial defect images, thereby contributing to the advancement of relevant research in industrial image analysis. Simultaneously, our dataset supports research and education in various fields, including computer vision and machine learning. We conducted benchmark tests on IVD-SEG using several baseline methods, including representative CNN and ViT networks.<br><br></p>
Lab_02_SOP - Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards
<h1>Lab_02_SOP - Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards - mzML files</h1> <p>This dataset is part of the <a href="https://doi.org/10.5281/zenodo.12632989" target="_blank" rel="noopener">ILS Ceramide Ring Trial</a>. The suffix 'SOP' indicates that the results were obtained using the recommended and standard operating procedure protocol to prepare and measure all samples, while the suffix 'OTHER' indicates that the corresponding lab prepared and measured the samples according to their own internal protocol. Please check the corresponding mapping file 'ILS-Ceramide-Ring-Trial-Datasets.csv' in the ILS Ceramide Ring Trial record for a mapping of the originally submitted lab reports and the final lab number as reported in the manuscript.</p> <p>All reports together with the code for analysis and visualization, reproducing the figures in the manuscript, are available under the following doi: <a href="../doi/10.5281/zenodo.10081970" target="_blank" rel="noopener">https://zenodo.org/doi/10.5281/zenodo.10081970</a>. This links to releases of the following GitHub repository: <a href="https://github.com/lifs-tools/ils-ceramide-ring-trial" target="_blank" rel="noopener">https://github.com/lifs-tools/ils-ceramide-ring-trial</a>. The archived version of the lab reports, workflow source code and manuscript visualizations are also available <a href="../doi/10.5281/zenodo.10081970" target="_blank" rel="noopener">here</a>.</p> <p>Please note that most datasets have been acquired in MRM mode, such that the msconvert conversion to mzML has stored the MRM data in the chromatogram part of the mzML files.</p> <p>The msconvert Docker container (Proteowizard release: 3.0.24172 (63d00b1), build date Jun 202 2024 20:01:14) was used with the native vendor libraries / peak picking for conversion, using default arguments. m/z values were encoded with 64 bit (default), while intensity values were encoded with 32 bit (default). All binary data was zlib-compressed.</p>
Lab_32_SOP - Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards
<h1>Lab_32_SOP - Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards - mzML files</h1><p>This dataset is part of the <a href="https://doi.org/10.5281/zenodo.12632989" target="_blank">ILS Ceramide Ring Trial</a>. The suffix 'SOP' indicates that the results were obtained using the recommended and standard operating procedure protocol to prepare and measure all samples, while the suffix 'OTHER' indicates that the corresponding lab prepared and measured the samples according to their own internal protocol. Please check the corresponding mapping file 'ILS-Ceramide-Ring-Trial-Datasets.csv' in the ILS Ceramide Ring Trial record for a mapping of the originally submitted lab reports and the final lab number as reported in the manuscript.</p><p>All reports together with the code for analysis and visualization, reproducing the figures in the manuscript, are available under the following doi: <a href="https://zenodo.org/doi/10.5281/zenodo.10081970" target="_blank">https://zenodo.org/doi/10.5281/zenodo.10081970</a>. This links to releases of the following GitHub repository: <a href="https://github.com/lifs-tools/ils-ceramide-ring-trial" target="_blank">https://github.com/lifs-tools/ils-ceramide-ring-trial</a>. The archived version of the lab reports, workflow source code and manuscript visualizations are also available <a href="https://zenodo.org/doi/10.5281/zenodo.10081970" target="_blank">here</a>.</p><p>Please note that most datasets have been acquired in MRM mode, such that the msconvert conversion to mzML has stored the MRM data in the chromatogram part of the mzML files.</p> <p>The msconvert Docker container (Proteowizard release: 3.0.24172 (63d00b1), build date Jun 202 2024 20:01:14) was used with the native vendor libraries / peak picking for conversion, using default arguments. m/z values were encoded with 64 bit (default), while intensity values were encoded with 32 bit (default). All binary data was zlib-compressed.</p>
Hackathon - TF-TG relation annotation Gold Standard Corpus
<p>TF-TG relation annotation Gold Standard Corpus.</p> <p>The file contains 130 PMIDs annotated in the following way:</p> <ul> <li>PMID.txt: the original TXT file with the abstract.</li> <li>PMID.ann: the file with the BRAT annotations. Each annotation file contains terms (e.g. T1, T2, ...) and relations (e.g. R1, R2, ...), where each relation is from one term (e.g. T1) to another term (e.g. T2).</li> </ul>
Supplementary material 3 from: Groom Q, Desmet P, Reyserhove L, Adriaens T, Oldoni D, Vanderhoeven S, Baskauf SJ, Chapman A, McGeoch M, Walls R, Wieczorek J, Wilson JR.U, Zermoglio PFF, Simpson A (2019) Improving Darwin Core for research and management of alien species. Biodiversity Information Science and Standards 3: e38084. https://doi.org/10.3897/biss.3.38084
The Convention on Biological Diversity pathway vocabulary adapted from Harrower et al. 2017. Including proposed simple labels for these terms.
Supplementary material 1 from: Groom Q, Desmet P, Reyserhove L, Adriaens T, Oldoni D, Vanderhoeven S, Baskauf SJ, Chapman A, McGeoch M, Walls R, Wieczorek J, Wilson JR.U, Zermoglio PFF, Simpson A (2019) Improving Darwin Core for research and management of alien species. Biodiversity Information Science and Standards 3: e38084. https://doi.org/10.3897/biss.3.38084
Distinct values for dwc:establishmentMeans and their frequency from observations on the Global Biodiversity Information Facility on 27 February 2017. Taken from GitHub repository of the Darwin Core Questions & Answers Site (https://github.com/tdwg/dwc-qa/tree/master/data/GBIFDistinctValues).
Supplementary material 2 from: Groom Q, Desmet P, Reyserhove L, Adriaens T, Oldoni D, Vanderhoeven S, Baskauf SJ, Chapman A, McGeoch M, Walls R, Wieczorek J, Wilson JR.U, Zermoglio PFF, Simpson A (2019) Improving Darwin Core for research and management of alien species. Biodiversity Information Science and Standards 3: e38084. https://doi.org/10.3897/biss.3.38084
A tab-delimited file mapping values (synonyms; orthographic and language variations) found in Darwin Core dwc:establishmentMeans to a controlled vocabulary.
Fig. 1 in A short LSU rRNA fragment as a standard marker for integrative taxonomy in calcareous sponges (Porifera: Calcarea)
Fig. 1 Overview of the alignment and consensus of ITS sequences. For each specimen, 2–3 clones were sequenced
Fig. 1 in The Importance of Body Size Standardization in Functional Diversity Studies of Dung Beetles (Coleoptera: Scarabaeidae: Scarabaeinae)
Fig. 1. Spearman correlation results for the measurements used to assess body size in three Atlantic Forest dung beetle species (Canthon quinquemaculatus, Deltochilum komareki, and Eurysternus parallelus).
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.