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37 results for “Structured reporting”
Dataset of reports about MOF-based SERS substrates since 2011 until March 2023. Structure, characteristics, analytes, and performances.
<p>This dataset was generated to aid the creation of a review article addressing the use of Metal-Organic Frameworks (MOF)-based Surface Enhanced Raman Spectroscopy (SERS) platforms for the detection of Volatile Organic Compounds (VOCs).</p> <p>This dataset was generated employing the Web of Science database, encompassing manuscripts published up to March 2023. A literature search was initially conducted using a combination of keywords, including "MOF," "Metal-Organic Framework," "SERS," "Surface Enhanced Raman Spectroscopy," and "Surface Enhanced Raman Scattering." This search spanned the "Topic" category, enabling exploration across title, abstract, author keywords, and keyword-plus fields.</p> <p>From the initial pool of 238 documents, review articles and duplicates were systematically excluded, resulting in a refined collection of 182 articles. Subsequently, articles not concurrently addressing MOF and SERS or those utilizing MOF as sacrificial templates were further excluded, resulting in a final subset of 72 articles. From this curated set, relevant parameters were extracted, resulting in 229 entries for the dataset. </p> <p>Characteristics about the structure (in terms of MOF type and configuration; Plasmonic element type and configuration), target analyte (including type, phase, and incubation time), measurement specifications (in terms of laser, laser power, exposure time), and performance of the MOF-based SERS substrates were collected.</p> <p>Listed references 1-72 correspond with the manuscript number in the dataset.</p> <p>Listed references 73-80 correspond with references for selected examples of MOF pore diameters.</p>
Data for: Open Infrastructure Governance: Current structures, nomenclature, composition, and service trends, 2024 State of Open Infrastructure Report
<p>The purpose of the analysis based on these data was to<span> record information about community governance groups for open infrastructures, focused primarily on the individuals and institutions that serve in these groups. The data were summarized and reported in the “2024 State of Open Infrastructure Report” section “Open infrastructure governance: Current structures, nomenclature, composition, and trends.” The full report is available at <a href="The%20data%20were%20summarized%20and%20reported%20in%20the%20&ldquo;2024%20State%20of%20Open%20Infrastructure%20Report&rdquo;%20section%20&ldquo;Open%20infrastructure%20governance:%20Current%20structures,%20nomenclature,%20composition,%20and%20trends,&rdquo;%20available%20at%20https:/doi.org/10.5281/zenodo.10934089.">https://doi.org/10.5281/zenodo.10934089</a>.</span></p> <p><span>A readme is provided with the dataset with additional detail.</span></p>
Phenopackets for case reports of structural variants
<p>A collection of 188 published deleterious structural variants based on 182 cases published in 146 clinical case reports that describe individuals with Mendelian diseases.</p>
AlphaFold structures reported in "AlphaFold2 Can Predict Single-Mutation Effects"
<p>This contains AlphaFold predictions for X proteins that are found in the Protein Data Bank (PDB), that were used to evalluate AlphaFold's predictions of mutation effects. This includes one set of structures predicted by AlphaFold2.0, using default settings, and one structure for each of 5 models. This also includes structures predicted by the ColabFold version of AlphaFold (6 recycles, 5 models, no template, amber minimization, 4 repeats).</p><p>There are also additional predicted structures that are found in the PDB that were not analyzed in the paper.</p><p>There are AlphaFold predictions for three proteins (BFP / RFP, GFP, and PafA), covering either all (BFP/RFP, PafA) or a subset (GFP) of the sequences in three datasets of phenotype measurements from high-throughput experiments.</p><p>Results are separated into tar files based on whether DeepMind (AF2.0) or ColabFold implementation was used.</p><p>Folders under "ColabFold/PDB" are labelled according to a sequence ID, since multiple PDB structures can exist for a single sequence. These sequence IDs can be mapped back to PDB IDs using the information in "seq_id_pdb_id.json".</p><p>All PDB files have been compressed using Foldcomp (<a href="https://github.com/steineggerlab/foldcomp">https://github.com/steineggerlab/foldcomp</a>). Foldcomp is required to decompress the ".fcz" files in order to recover the ".pdb" files.</p>
(1729) Venice Biennale Danish pavilion, Venice, I - Structural analysis report
<p>This report contains structural analysis results of the textile membrane installation at the Danish Pavilion of the Venice Biennale 2018. Load assumptions, support reactions, deflections, reaction forces and stress state of the main load bearing members are presented.<br> Basis for the design are the EN 1990 (Basis of structural design) [1], EN 1991 (Actions on structures) [2], EN 1993 (Design of steel structures) [3] and DIN EN 13782 (Temporary structures) [4].<br> The installation is placed at the “Giardini della Biennale” in Venice as part of the Biennale exhibition which will run from May until November. The loads acting upon the structure are partially reduced due to the temporary nature of the installation.</p>
Text-fig. 2. Structure division of the Blansko Graben with position of the borehole V-134 (modified after Čech, unpublished report). in Spesovicornea Pacltovae Gen. Nov. Et Sp. Nov., A New Elateroid Sporomorph From The Bohemian Cenomanian (Czech Republic)
Text-fig. 2. Structure division of the Blansko Graben with position of the borehole V-134 (modified after Čech, unpublished report).
Supplementary Material to "Overview of XBRL Taxonomy Usage for Structured Sustainability Reporting in European Filings"
<p>Hereby we provide supplementary material to the submitted paper "Overview of XBRL Taxonomy Usage for Structured Sustainability Reporting in European Filings". Two Excel spreadsheets have been provided containing the ESRS PoC XBRL taxonomy representation and a sample report of a tagged integrated annual report.</p> <p>The research is expected to be presented at the 1st Conference on Sustainability at Széchenyi István University, Hungary, October 10-12, 2023. This framework leverages an examination of the existing taxonomy of ESRS to provide readers with insight into the essential glossary of disclosures and metrics considered critical by official regulatory sources. During the analysis, all XBRL data was retrieved from public sources and processed in the programming environment currently under development by the Széchenyi István University research team.</p>
IPBES Data Management Tutorials - Session 3.2: Structure of a data management report and versioning
<p>The <em>IPBES data management tutorials</em> are short videos to help experts implement the IPBES data management Policy. They cover topics ranging from data management policy, reports, active research data, tools, and examples.</p> <p>The <em>IPBES data management reports </em>chapter provides an overview and discussion of specific elements of IPBES data management reports.</p> <p>This session, <em>Structure of a data management report and versioning</em>, details the structure of a data management report and guidelines for versioning. </p>
Figure 3 in Preliminary report on the genetic structure of Glyphoglossus molossus (Anura: Microhylidae) from the Khorat Plateauı north-eastern Thailand
Figure 3. Median-joining haplotype network (MJN) illustrating hierarchical relationships among haplotypes represented by sampled populations of Glyphoglossus molossus. Each circle showed a haplotype and the size of each circle is scaled to the number of individuals sharing that haplotype. Branch numbers is proportional to number of mutational steps.
Figure 1 in Preliminary report on the genetic structure of Glyphoglossus molossus (Anura: Microhylidae) from the Khorat Plateauı north-eastern Thailand
Figure 1. Map of north-eastern Thailand (a) showing collection localities of Glyphoglossus molossus samples. Names associated with locality numbers are in Table 1. Examples of sampled habitats in this study: secondary forest, Maha Sarakham Province (b); rice field, Sakon Nakhon Province (c); agricultural pond, Nong Khai Province (d). A sample of Glyphoglossus molossus was caught by excavation (e).
An Ensemble Approach to Automatic Structuring of Radiology Reports -- Dataset
<p>This dataset contains the annotations for 100 radiology reports from MIMIC-III dataset. The annotations use the BRAT format and this dataset only provides the annotations (not the original radiology reports). In order to view them on BRAT, you need to request and download the original text from MIMIC-III website. Please note that the file names are the IDs for each radiology report in the MIMIC-III dataset.</p>
Coronavirus Disease 2019 (COVID-19) in Italy: features on Chest Computed Tomography using a structured report system
<p>We uploaded a dataset including the presence of GGO and its distribution for each patient presented in the manuscript: Grassi R, Fusco R, Belfiore MP, Montanelli A, Patelli G, Urraro F, Petrillo A, Granata V, Sacco P, Mazzei MA, Feragalli B, Reginelli A, Cappabianca S. Coronavirus disease 2019 (COVID-19) in Italy: features on chest computed tomography using a structured report system. Sci Rep. 2020 Oct 14;10(1):17236. doi: 10.1038/s41598-020-73788-5. Erratum in: Sci Rep. 2021 Feb 15;11(1):4231. PMID: 33057039; PMCID: PMC7566610.</p>
Resolved crystal structure CCDC 2226587 reported to J. Mol. Struct. 1284 (2023) 135362 in space group P21/n
<p>Contribution M. Lutz, J. Mol. Struct. 1284 (2023) 135362 has reported crystal structural determination of zinc(II) bis((1R,2R)-1,2-diaminocyclohexane) dinitrate (CCDC 2226587) solved in noncentrosymmetric P21 space group.</p> <p>The ADDSYM test assumes a centrosymmetric P21/n space group (<strong>Figure 1</strong>.)</p> <p>Consider the original 2226587.cif of work M. Lutz, J. Mol. Struct. 1284 (2023) 135362. Its checkcif according to [https://checkcif.iucr.org/] indicates PLAT111_ALERT_2_G: ADDSYM Detects New (Pseudo) Centre of Symmetry, showing 85 %Fit (see 2226587_P21_checkcif.pdf.)</p> <p>The issue has not been addressed by the author of paper J. Mol. Struct. 1284 (2023) 135362. </p> <p> </p> <p>The author of the current contribution, who is also co-author of work B. Ivanova, M. Spiteller, J. Mol. Struct. 1248 (2022) 131488, cited by the author of work J. Mol. Struct. 1284 (2023) 135362, resolved the structure (CCDC 2226587; 2226587.cif,) using only the data on 2226587.cif into suggested P21/n space group (2226587_P21-n.cif); thus, lacking discrepancy with the ADDSYM test (<strong>Figures 2</strong> and <strong>3</strong>.)</p> <p>Consider 2226587_P21-n_res.txt, 2226587_P21-n.cif, and 2226587_P21-n_lst.txt files.</p> <p> </p> <p> </p> <p>Description of files:</p> <p>2226587.cif</p> <p>(Deposited to Cambridge crystallographic database [https://www.ccdc.cam.ac.uk/] structural solution of zinc(II) bis((1R,2R)-1,2-diaminocyclohexane) dinitrate (CCDC 2226587) as reported to M. Lutz, J. Mol. Struct. 1284 (2023) 135362).</p> <p> </p> <p>2226587_P21_checkcif</p> <p>(Checkcif data on structural solution of zinc(II) bis((1R,2R)-1,2-diaminocyclohexane) dinitrate (CCDC 2226587) as reported to M. Lutz, J. Mol. Struct. 1284 (2023) 135362.)</p> <p> </p> <p>2226587_P21-n.cif</p> <p>(<em>Crystallographic</em> information <em>file of </em>zinc(II) bis((1R,2R)-1,2-diaminocyclohexane) dinitrate resolved into P21/n space group by the author of the current contribution.)</p> <p> </p> <p>2226587_P21-n_res.txt</p> <p>(SHELX res file <em>of </em>zinc(II) bis((1R,2R)-1,2-diaminocyclohexane) dinitrate resolved into P21/n space group by the author of the current contribution; There remains unresolved: Q1 1 0.4226 0.5026 0.4999 11.00000 0.05 8.23.)</p> <p> </p> <p>2226587_P21-n_lst.txt</p> <p>(SHELX lst file <em>of </em>zinc(II) bis((1R,2R)-1,2-diaminocyclohexane) dinitrate resolved into P21/n space group by the author of the current contribution.)</p> <p> </p>
Fig. 18 in Review of lignans from 2019 to 2021: Newly reported compounds, diverse activities, structure-activity relationships and clinical applications
Fig. 18. The "source-category-activities" network of lignans. (The green nodes represent the source (families), the red nodes indicate the category, and the purple nodes emblem the activities). (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 17 in Review of lignans from 2019 to 2021: Newly reported compounds, diverse activities, structure-activity relationships and clinical applications
Fig. 17. The potential structure-activity relationships of lignans in antitumor, anti-inflammatory and antioxidant effects.
Fig. 16 in Review of lignans from 2019 to 2021: Newly reported compounds, diverse activities, structure-activity relationships and clinical applications
Fig. 16. Structure based activity distribution. (A) The proportion of pharmacological activities; (B) distribution of bioactivities in different classification.
Fig. 15 in Review of lignans from 2019 to 2021: Newly reported compounds, diverse activities, structure-activity relationships and clinical applications
Fig. 15. Distribution of molecular resources analysis. (A) Main classifications of lignans; (B) distribution of lignan subclass structures; (C) distribution of lignans in top eight families.
Fig. 14 in Review of lignans from 2019 to 2021: Newly reported compounds, diverse activities, structure-activity relationships and clinical applications
Fig. 14. The newly reported compounds of polymeric lignans.
Fig. 12 in Review of lignans from 2019 to 2021: Newly reported compounds, diverse activities, structure-activity relationships and clinical applications
Fig. 12. The newly reported compounds of seco-lignans.
Fig. 13 in Review of lignans from 2019 to 2021: Newly reported compounds, diverse activities, structure-activity relationships and clinical applications
Fig. 13. The newly reported compounds of norlignans.
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.