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5,526 results for “information”
Supplementary Information and data for: "Quaternary and Pliocene sea-level changes at Camarones, central Patagonia, Argentina"
<p>This repository contains the supplementary information and raw data annexed to the manuscript "<em>Quaternary and Pliocene sea-level changes at Camarones, central Patagonia, Argentina</em>", authored by Karla Rubio-Sandoval et al. and submitted for consideration in the journal Quaternary Science Reviews.</p> <p>The folder contains the following items.</p> <p><strong>1. Raw_data.xlsx</strong><br>This is an excel file that includes all survey and analytical data in several sheets, briefly described hereafter.</p> <p>- <em>GNSS data</em>. Data surveyed with differential GNSS in the field.<br>- <em>Sea level index points</em>. Datapoints used as sea-level index points, and associated calculations of paleo Relative Sea Level.<br>- <em>AAR Summary</em>. Table summarising the main results of the AAR analyses.<br>- <em>AAR complete sheet</em>. The complete set of analytical data done for the Amino Acid Racemization dating.<br>- <em>Radiocarbon data</em>. The analytical results of radiocarbon dating.<br>- <em>Literature ages</em>. A compilation of the Electron Spin Resonance and U-series ages published for the Camarones site.<br>- <em>Transects</em>. Topographical transects extracted from the TanDEM-X Digital Elevation model and referred to the GEOIDEAR 16 geoid.<br>- <em>Distance plot</em>. Data for plotting Relative Sea Level vs distance along the coast of the sea-level index points described in the manuscript.</p> <p><strong>2. Holocene (folder)</strong><br>This folder contains two excel files ("Area_Camarones_Accepted.xlsx" and "Area_Camarones_Rejected.xlsx") that include the Holocene data described in the paper compiled following the standard HOLSEA template.</p> <p><strong>3. Runup_modelling</strong><br>This folder contains three folders, each with a Jupyter notebook (.ipynb) and datasets to perform the runup calculations described in the manuscript.</p>
Supplementary Information for "Biocatalytic Ether Lipid Synthesis by an Archaeal Glycerolprenylase" - Experimental Data
<p>This is the external Supplementary Information for our publication "Biocatalytic Ether Lipid Synthesis by an Archaeal Glycerolprenylase", freely available as a preprint from <em>ChemRxiv </em>(<a href="https://doi.org/10.26434/chemrxiv-2024-2lmv8-v2">https://doi.org/10.26434/chemrxiv-2024-2lmv8-v2</a>) and as a peer-reviewed publication from <em>Angewandte Chemie</em> (<a href="https://doi.org/10.1002/anie.202412597">https://doi.org/10.1002/anie.202412597</a>).</p> <p>The .zip files contain the raw data and metadata for all items (supplementary and main text) as well as the calculation results underlying each figure panel. This includes UV, fluorescence and NMR data. The zip files below also contain the ChimeraX session used to prepare all figure panels, the results of crystallization screens and reports on all MPLC runs used for the purification of pyrophosphate substrates. The <strong>NMR data for the synthesized compounds</strong> are described in the un-zipped metadata sheet which is separately stored below.</p> <p>The <strong>computational results</strong> contributed by Sangwar Wadtey Oung are stored in a separate zenodo entry (<a href="../doi/10.5281/zenodo.10635216">https://zenodo.org/doi/10.5281/zenodo.10635216</a>).</p> <p>This work was enabled by our previous studies on continuous reaction monitoring of phosphate-releasing transformations (<a href="https://doi.org/10.1021/acs.analchem.1c05356">https://doi.org/10.1021/acs.analchem.1c05356</a>), which itself builds on principles of spectral unmixing (<a href="https://doi.org/10.1002/cbic.202000204">https://doi.org/10.1002/cbic.202000204</a>), isosbestic normalization (<a href="https://doi.org/10.1002/cbic.202200744">https://doi.org/10.1002/cbic.202200744</a>) and thermodynamic reaction control in enzymatic equilibrium systems (<a href="https://doi.org/10.1021/acscatal.1c02589">https://doi.org/10.1021/acscatal.1c02589</a> & <a href="https://doi.org/10.1002/anie.202218492">https://doi.org/10.1002/anie.202218492</a> & <a href="https://doi.org/10.1002/adsc.201901230">https://doi.org/10.1002/adsc.201901230</a>).</p>
Supplementary Information for "Nucleoside Phosphorylases Make N7-Xanthosine, a "Non native" Regioisomer of Xanthosine"
<p>This is the external Supplementary Information for our publication "Nucleoside Phosphorylases Make N7-Xanthosine, a "Non native" Regioisomer of Xanthosine".</p> <p>The .pdf file contains the Supplementary Information: author contributions, accessibility statement, experimental procedures, and supplementary items, among others.</p> <p>The .zip file contains the raw data and metadata for all items (supplementary and main text) as well as the calculation results. This includes UV, HPLC, NMR, HRMS, and DFT results. The full set of raw HPLC chromatograms is - unfortunately - only available to us in a proprietary file format but we are happy to share these data upon request. This revised version contains additional UV data on experiments excluding oxidation of xanthine to uric acid as well as additional NMR data on purified N7-xanthosine and reference data for N9-xanthosine and xanthine in D2O.</p> <p>To some extent, this work builds on and borrows from our previous publications on spectral unmixing (https://doi.org/10.3390/mps2030060, https://doi.org/10.1002/cbic.202000204), continuous reaction monitoring (https://doi.org/10.1021/acs.analchem.1c05356), and thermodynamic reaction control (https://doi.org/10.1002/adsc.201901230, https://doi.org/10.5281/zenodo.3568858, https://doi.org/10.1002/cphc.202000901, https://doi.org/10.1021/acscatal.1c02589).</p>
Information content estimation output for specific humidity profiles
<p>Output of information content estimation based on optimal estimation theory <strong>[1]</strong>. Detailed descriptions of the information content estimation performed here can be found in Section 3.3 of <strong>[2]</strong>. The files have been created with the codes published on Github/Zenodo <strong>[3]</strong>.</p> <p>The cryptic file name suffixes _472, _481, _482, _483 and _484 represent different settings of the Neural Network retrieval to estimate the information content for different inputs:</p> <ul> <li>_472: TBs at all frequencies of the microwave radiometers HATPRO and MiRAC-P (instruments are described in <strong>[2]</strong>,<strong>[4]</strong>)</li> <li>_481: TBs only at K-band frequencies (22.24-31.4 GHz)</li> <li>_482: TBs at K- and V-band frequencies (22.24 - 58 GHz)</li> <li>_483: TBs at K- and G-band frequencies (22.24-31.4 GHz, 175.81-190.81 GHz)</li> <li>_484: TBs at K-, G-band and higher frequencies (22.24-31.4 GHz, 175.81-190.81 GHz, 243 GHz, 340 GHz)</li> </ul> <p>Detailed Neural Network settings can also be found in <strong>[2]</strong> and test_purpose.yaml in <strong>[3]</strong>.</p> <p>The file eval_info_content_idx.nc contains indices to consider a subset of the years 2001, 2006, 2011, 2015 of <strong>[5]</strong>, used as evaluation data in <strong>[2]</strong>, for the information content estimation. We did not use the full ERA5 evaluation data set because of computation time.</p> <p><strong>[1]:</strong> Rodgers, C. D.: Inverse methods for atmospheric sounding: theory and practice, no. 2 in Series on atmospheric, oceanic and planetary physics, World Scientific, Singapore, repr edn., ISBN 978-981-02-2740-1, 2008.</p> <p><strong>[2]:</strong> Walbröl, A., Griesche, H. J., Mech, M., Crewell, S., and Ebell, K.: Combining low- and high-frequency microwave radiometer measurements from the MOSAiC expedition for enhanced water vapour products, Atmospheric Measurement Techniques, 17, 6223-6245, https://doi.org/10.5194/amt-17-6223-2024, 2024.</p> <p><strong>[3]: </strong>Walbröl, A.: Codes for: Combining low and high frequency microwave radiometer measurements from the MOSAiC expedition for enhanced water vapour products (1.0.1). Zenodo. <a href="https://doi.org/10.5281/zenodo.11123136" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.11123136</a>, 2024.</p> <p><strong>[4]:</strong> Walbröl, A., Crewell, S., Engelmann, R., Orlandi, E., Griesche, H., Radenz, M., Hofer, J., Althausen, D., Maturilli, M., and Ebell, K.: Atmospheric temperature, water vapour and liquid water path from two microwave radiometers during MOSAiC, Scientific Data, 9, 534, https://doi.org/10.1038/s41597-022-01504-1, 2022.</p> <p><strong>[5]:</strong> Walbröl, A., and Mech, M.: ERA5 based training, validation and evaluation data for retrievals combining 22-58 GHz with 175-340 GHz microwave radiometer measurements during MOSAiC (1.0.0). Zenodo. https://doi.org/10.5281/zenodo.10997365, 2024.</p>
Survey data on financial literacy, financial inclusion, informal financial business practices, and intentions towards formalization of female small vendors in Lima, Peru
<p><span>This dataset encapsulates a comprehensive survey aimed at understanding informal business practices and financial literacy among small business vendors in Peru. The dataset comprises three key components: the survey questionnaire, raw survey data, and a detailed codebook. Researchers interested in the dynamics of financial practices in emerging markets may find this dataset particularly valuable, as it allows for the exploration of factors influencing financial decisions in small enterprises, with potential modifications suggested for adapting the survey to different national or cultural contexts. This dataset not only contributes to empirical research in financial behavior but also supports gender-specific studies by allowing the variable 'sex' to be adapted to 'gender' with multiple response options. </span></p> <p><span>The data and supplementary material is divided in tree files:</span></p> <p><span>The survey, presented in "Survey IFE.docx," includes questions across various domains such as informal business practices, financial literacy, financial inclusion, intentions towards financial formalization, and the formality of business ventures, along with demographic variables like age, sex, business age, and number of employees. </span></p> <p><span>The raw data, stored in "Dataset.csv," records responses from 118 participants, mapped against 31 indicators. </span></p> <p><span>The "Codebook.doc" provides exhaustive details about the survey variables, coding of responses, and the methodology employed, facilitating the replication of the study and application of the dataset in varied research contexts.</span></p>
Data and code for "Autonomous demon exploiting heat and information at the trajectory level"
<p>Code and numerically generated data for the article "Autonomous demon exploiting heat and information at the trajectory level" <a href="https://arxiv.org/abs/2409.05823">arXiv:2409.05823</a>, see README.md for details.</p> <p>Changes: The performance quantifiers X_TUR have been rescaled by a constant factor (see Eq. (20) in the article) compared to the first version.</p>
The Minimum Information about a Biosynthetic Gene Cluster (MIBiG) data repository
<p>This dataset was originally published alongside the Minimum Information about a Biosynthetic Gene Cluster (MIBiG) data standard publication(s).</p> <p>It contains JSON files following the MIBiG data standard. Additional information on proteins/genes associated to biosynthetic gene clusters described by MIBiG can be found in the GenBank (gbk) and fasta files.</p> <p>This dataset was uploaded with permission from the corresponding author(s).</p> <p>For more information, see https://mibig.secondarymetabolites.org/.</p>
Data and Supplementary Information : timber ressource dynamics in West African cocoa agroforestry systems
<p>Here we present three datasets (growthDB.csv, heightDB.csv and volumeDB.csv) describing 59 tree species used for wood production in cocoa Agroforestry System (AFS) in Côte d'Ivoire (West Afica). Our dataset includes a total of 4,634 trees: 2530 spontaneous and 2104 (trans)planted. </p> <p>We provide three table (per datasets in .csv format) with the following column per tree:</p> <p>- gensp: species latin names</p> <p>- dbh : tree diameter at breast height (cm)</p> <p>- age: tree age (years)</p> <p>- origin: tree origin (spontaneous or (trans)planted)</p> <p>- WDmean : tree wood density (g.cm³)</p> <p>- clus: study sites</p> <p>- indsp : species index</p> <p>- indclus : sites index</p> <p>- hlog: tree bole height (m)</p> <p>- vol : tree bole volume (m³)</p> <p>We also provide, the STAN code (models.stan) to assess the wood production potential of trees in cocoa AFS: (i) a model describing the diameter growth trajectories of trees as a function of their age, (ii) a model evaluating the relationship between tree diameter and bole height, and (iii) a model assessing the commercial volume of trees as a function of their diameter and bole height.</p> <p>Finally, we present additional tables and figures in Supplementary Information.pdf.</p>
SMA-TB Clinical trial: video & electronic informed consent
<p>The first SMA-TB video has been produced aiming a better understanding of SMA-TB Randomized Clinical Trial (RCT) objectives and procedures. This RCT is work package 1 of SMA-TB project. It is entitled <em>"Phase 2b Randomized double-blind, placebo controlled trial to estimate the potential efficacy and safety of two repurposed drugs, acetylsalicylic acid and ibuprofen, for use as adjunct therapy added to, and compared with, the standard WHO recommended TB regimen (SMA-TB)”, </em>and is registered in ClinicalTrials.gov data under identifier NCT04575519</p> <p>This video has been conceptualized as an e-informed consent for TB patients aiming their participation in SMA-TB CTs in Georgia and South Africa, as well as for anyone wanting to learn about the SMA-TB CT. The video explains in a very comprehensive way the rationale of SMA-TB concept, how the CT will be performed, what is expected from the patient, which are potential benefits, as well as side effects. The message is produced both in English and in Georgian.</p>
Supporting information of paper "Direct Laser Writing of Liquid Crystal Elastomers Oriented by a Horizontal Electric Field"
<p>This dataset contains the <em>underlying data </em>and the <em>extended data </em>for the paper “Direct Laser Writing of Liquid Crystal Elastomers Oriented by a Horizontal Electric Field”, submitted for consideration and open review in Open Research Europe.</p> <p>In the follow the description of the files is reported:</p> <p><strong>Underlying_data_Surce_Images.zip</strong> It contains the source original microscopy image files used for assembling final paper Figures (1-5), enclosed in the main text. List and pictures' information are reported in the file "Source Picture Description.txt" included in the zip.</p> <p><strong>SIVideo_LCAlignment.avi </strong>- [Supporting VideoZ1] showing the response of the unpolymerized mesogens to an electric field of 1.7 V/µm</p> <p><strong>SIVideo_NailActuation.wmv</strong> - [Supporting VideoZ2] showing the thermally activated actuation of a LCE nail microstructure upon several rt-75 °C cycles.</p> <p><strong>SIVideo_SimulationCube.gif</strong> - [Supporting VideoZ3] Video showing a simulation of the actuation of a LCE microcube upon heating.</p> <p><strong>SIVideo_SimuulationNail.gif</strong> - [Supporting VideoZ4] - Video showing a simulation of the actuation of a LCE micronail upon heating.</p> <p><strong>ImageZ1.png - </strong>[Supporting Figure Z1] Simulation of the distribution of the electric field generated by flat electrode, view along the plane (cross section) with magnification of the central part of the working field.</p> <p><strong>ImageZ2.png</strong> - [Supporting Figure Z2] - Photographs and thermal images of a LCE film obtained using a resin formulation identical to that employed in DLW on identical substrates that show the thermal response. Top: photograph of LCE films obtained by UV polymerization of a 7:3 LC-MA:LC-DA mixture over interdigitated flat ITO electrodes with an applied DC voltage. Upon heating with an infrared lamp (right column) the film bends and shortens. Middle: images acquired with a thermocamera highlighting the actuation temperature. Bottom: control LCE film polymerized as casted (without electric field).</p> <p><strong>ImageZ3.png</strong> - [Supporting Figure Z3] - a) Optical microscopy images of a double-cantilever acquired through perpendicularly oriented polarizes placed at 45° with respect to the applied electric field. b) Example of thermally responsive actuation via a comparison of images recorded at room temperature (upper) and at 70 °C (bottom).</p> <p><strong>Simulations.zip - </strong>Comsol (Version 5.6) source simulation files for LCE microcube and LCE micronail upon heating, and for the electric field electric generated by flat electrode in experimental conditions. Complete Report file in PDF is also available, containing all the parameters and equations used for simulation. Finally, the simulation results are provided as text .csv files.</p> <p><strong>Files_Blender_LCE.zip</strong> - Blender (Version 2.93) source file (“.blend”) for microstructure fabrication and generated surface “.stl” files, including cube, nail, cantilever and pyramid geometries.</p> <p><strong>Cube Describe.zip </strong>- Example of DeScribe software output files containing all needed parameters used for printing cubes, generated starting from “cube.stl” file. Other geometries have been realised using the same writing parameters starting from appropriate “.stl” file.</p>
Data related to publication "Coherent phase transfer for real-world twin-field quantum key distribution; Supplementary Information"
<p>These files contains datasets from which the Figures appearing in the Supplementary Information have been calculated. </p> <p>Description of datasets:</p> <p>Datasets related to SupplFig1 contain two columns: Frequency in Hz and phase noise in rad^2/Hz</p> <p>Data_SupplFig1_stabilised_fringes: psd of the phase noise calculated from the interference fringes in a stabilised condition</p> <p>Data_SupplFig1_unstabilised_fringes: psd of the phase noise calculated from the interference fringes in an unstabilised condition</p> <p>Data_SupplFig1_roundtrip_sensing_laser: psd of the sensing laser signal after a round-trip in the interferometer, calculated from self-heterodyne beatnote</p> <p>Data_SupplFig1_differential_roundtrip_sensing_vs_reference_laser: psd of the difference between the round-trip self-heterodyne beatnotes at the sensing and reference laser wavelengths</p> <p>Datasets related to SupplFig2 contain two columns: time in seconds and normalised intensity (calculated as detailed in the main publication).</p> <p>Data_SupplFig2_High_power_PD_free_evol: normalised intensity of the interference signal obtained with classical power level at the source. This trace was recorded with a photodiode when no artificial phase drift was applied</p> <p>Data_SupplFig2_High_power_PD_phase_drift: normalised intensity of the interference signal obtained with classical power level at the source. This trace was recorded with a photodiode when an artificial phase drift was applied (8pi/s)</p> <p>Data_SupplFig2_High_power_SPD_free_evol: normalised intensity of the interference signal obtained with classical power level at the source. This trace was recorded on an SPD (after suitable attenuation) when no artificial phase drift was applied </p> <p>Data_SupplFig2_High_power_SPD_phase_drift: normalised intensity of the interference signal obtained with classical power level at the source. This trace was recorded on an SPD (after suitable attenuation) when an artificial phase drift was applied (8pi/s)</p> <p>Data_SupplFig2_Attenuated_SPD_free_evol: normalised intensity of the interference signal obtained with attenuated beams at the source. This trace was recorded on an SPD when no artificial phase drift was applied </p> <p>Data_SupplFig2_Attenuated_SPD_phase_drift: : normalised intensity of the interference signal obtained with attenuated beams at the source. This trace was recorded on an SPD when an artificial phase drift was applied (8pi/s)</p> <p> </p>
Twitter hashtags time series used in the paper "Universality, criticality and complexity of information propagation in social media"
<pre>These files contain the time series and the associated hashtags we obtained by sampling Twitter for our paper "Universality, criticality and complexity of information propagation on social media". The analysis is reported in <a href="https://arxiv.org/abs/2109.00116">https://www.nature.com/articles/s41467-022-28964-8</a> Please acknowledge the use of these data by citing the paper above. ################################# ################################# DATA ORGANIZATION We created a single zip file with all the time series and a single zip file with all the hashtags. There is a one-to-one correspondence between lines in the two files. ################################# ################################# FILES CONTENT As stated, here is a one-to-one correspondence between lines in the time series file and lines in the hashtags file, i.e., the hashtag stored in line X is the hashtag of the time series stored in line X. Time series are stored as follows: Ka t1 t2 t3 \n Kb t1 t2 t3 t4 t5 \n . . . Kn t1 t2 \n where: Ka, Kb,..., Kn is an integer specifying the number of events that compose the time series a, b,..., n respectively. In the example above we would have Ka=3, Kb=5, Kn=2. t1 t2 ... is the time series, i.e., a sequence of chronologically ordered interevent times. The last interevent time, in our implementation, represents the distance between the end of the temporal window and the last event time. It thus does not represent an event. As stated in the Supplemental Material of our paper, the temporal window ranges from 2019, October 1st to 2019, November 30th. </pre>
DrCyZ: Techniques for analyzing and extracting useful information from CyZ.
<p>DrCyZ: Techniques for analyzing and extracting useful information from CyZ.</p> <p>Samples from NASA Perseverance and set of GAN generated synthetic images from Neural Mars.</p> <p>Repository: <a href="https://github.com/decurtoidiaz/drcyz">https://github.com/decurtoidiaz/drcyz</a></p> <p><br> Subset of samples from (includes tools to visualize and analyse the dataset):</p> <p>CyZ: MARS Space Exploration Dataset. [<a href="https://doi.org/10.5281/zenodo.5655473">https://doi.org/10.5281/zenodo.5655473</a>]</p> <p>Images from NASA missions of the celestial body.</p> <p>Repository: <a href="https://github.com/decurtoidiaz/cyz">https://github.com/decurtoidiaz/cyz</a></p> <p>Authors:</p> <p>J. de Curtò c@decurto.be</p> <p>I. de Zarzà z@dezarza.be</p> <p>------------------------------------------<br> File Information from DrCyZ-1.1<br> ------------------------------------------</p> <p> • Subset of samples from Perseverance (drcyz/c).<br> ∙ png (drcyz/c/png).<br> PNG files (5025) selected from NASA Perseverance (CyZ-1.1) after t-SNE and K-means Clustering. <br> ∙ csv (drcyz/c/csv).<br> CSV file.</p> <p> • Resized samples from Perseverance (drcyz/c+).<br> ∙ png 64x64; 128x128; 256x256; 512x512; 1024x1024 (drcyz/c+/drcyz_64-1024).<br> PNG files resized at the corresponding size. <br> ∙ TFRecords 64x64; 128x128; 256x256; 512x512; 1024x1024 (drcyz/c+/tfr_drcyz_64-1024).<br> TFRecord resized at the corresponding size to import on Tensorflow.</p> <p> • Synthetic images from Neural Mars generated using Stylegan2-ada (drcyz/drcyz+).<br> ∙ png 100; 1000; 10000 (drcyz/drcyz+/drcyz_256_100-10000)<br> PNG files subset of 100, 1000 and 10000 at size 256x256.</p> <p> • Network Checkpoint from Stylegan2-ada trained at size 256x256 (drcyz/model_drcyz).<br> ∙ network-snapshot-000798-drcyz.pkl</p> <p> • Notebooks in python to analyse the original dataset and reproduce the experiments; K-means Clustering, t-SNE, PCA, synthetic generation using Stylegan2-ada and instance segmentation using Deeplab (<a href="https://github.com/decurtoidiaz/drcyz/tree/main/dr_cyz+">https://github.com/decurtoidiaz/drcyz/tree/main/dr_cyz+</a>).<br> ∙ clustering_curiosity_de_curto_and_de_zarza.ipynb<br> K-means Clustering and PCA(2) with images from Curiosity.<br> ∙ clustering_perseverance_de_curto_and_de_zarza.ipynb<br> K-means Clustering and PCA(2) with images from Perseverance.<br> ∙ tsne_curiosity_de_curto_and_de_zarza.ipynb<br> t-SNE and PCA (components selected to explain 99% of variance) with images from Curiosity.<br> ∙ tsne_perseverance_de_curto_and_de_zarza.ipynb<br> t-SNE and PCA (components selected to explain 99% of variance) with images from Perseverance.<br> ∙ Stylegan2-ada_de_curto_and_de_zarza.ipynb<br> Stylegan2-ada trained on a subset of images from NASA Perseverance (DrCyZ).<br> ∙ statistics_perseverance_de_curto_and_de_zarza.ipynb<br> Compute statistics from synthetic samples generated by Stylegan2-ada (DrCyZ) and images from NASA Perseverance (CyZ).<br> ∙ DeepLab_TFLite_ADE20k_de_curto_and_de_zarza.ipynb<br> Example of instance segmentation using Deeplab with a sample from NASA Perseverance (DrCyZ).</p>
Brazilian theses and dissertations on Building Information Modeling
<p>Results of a survey of Brazilian dissertations and theses on the topic of Building Information Modeling from the period of 2012 to 2019. </p> <p>The spreadsheet (xls and csv) is organized with the following fields:</p> <p>TYPE: can be thesis or dissertation;</p> <p>AUTHOR: full name of the author in capital letters;</p> <p>TITLE: title of academic work;</p> <p>YEAR: year of defense;</p> <p>UNIVERSITY: Higher Education Institution;</p> <p>LINK: url to the IES repository or to the CAPES SUCUPIRA website where it is possible to obtain the complete work or its cataloging form:</p> <p>RELATED TO EDUCATION AND TEACHING?: YES, when the work is about teaching BIM and NO when it is about BIM unrelated to teaching;</p> <p>ABSTRACT: Abstract of academic work.</p> <p> </p>
Brazilian papers on Building Information Modeling published until 2021
<p>Characterization of Brazilian research in BIM through articles published in Brazilian journals: PARC Research in Architecture and Construction, Project Management and Technology and Built Environment. It covered articles published until 07/2021.</p> <p>The characterization of the articles is by the fields:<br> ITEM: article number in the survey;<br> JOURNAL: Name of the Brazilian journal between Ambiente Construéido, Gestão & Tecnologia de Projetos and PARC Research in Architecture and Construction;<br> TITLE: Title of the article;<br> YEAR: year of publication;<br> INSTITUTION: name by extension of the Institution of the main author;<br> TYPE OF INSTITUTION: values between Public Education Institution, Private Education Institution, Private Company, State Public Company …;<br> LOCATION: Federative Unit of the main author's institution;<br> USE CATEGORY: chosen from MODEL USE SERIES in Category II as in https://bimexcellence.org/wp-content/uploads/211in-Model-Uses-Table.pdf ;<br> SUBCLASSIFICATION: chosen from MODEL USE in Category II as in https://bimexcellence.org/wp-content/uploads/211in-Model-Uses-Table.pdf;<br> BIBLIOGRAPHIC REFERENCE: ABNT format ;<br> LINK: url to the full article.</p>
Plaskett 1.8 metre Observations of Starlink Satellites: Supplemental Information
<p>Release of GitHub repo in conjunction with the publication of "Plaskett 1.8 metre Observations of Starlink Satellites" in The Astronomical Journal, also available at arXiv: 2109.12494. The related paper presents observations of 23 Starlink satellites in the g' bandpass, obtained from the Dominion Astrophysical Observatory's Plaskett 1.8 metre telescope.</p>
Pacific salmon population time-series dataset to support Appendix S1: Data and additional information on declines of Pacific Salmon
<p>Dataset used to support the main paper 'Protecting our coast for everyone’s future: Indigenous and scientific knowledge support marine spatial protections proposed by Central Coast First Nations in Pacific Canada' by Reid et al. 2022. Dataset cited in Appendix S1 regarding trends in adult salmon abundances in the Central Coast. The data were as compiled by Will Atlas from the <a href="https://wildsalmoncenter.org/">Wild Salmon Center</a> to describe trends in the abundance of adult salmon returning to the Central Coast, which is the sum of escapement and harvest, as derived from the following sources:</p> <ol> <li>Escapement data from DFO: <a href="https://open.canada.ca/data/en/dataset/c48669a3-045b-400d-b730-48aafe8c5ee6">NuSEDS-New Salmon Escapement Database System - Open Government Portal (canada.ca)</a></li> <li>Harvest rates estimated by Karl English and colleagues and available at: <a href="https://data.salmonwatersheds.ca/data-library/">Salmon Watersheds Program - Data Library</a>.</li> <li>Information on total harvest that is reported in the DFO post season review (DFO 2020).</li> </ol>
Physiological information in Canadian species at risk recovery strategies (animals)
<p>Summary of physiological information contained in Canadian (animal) species at risk recovery strategies (SARA). For each recovery strategy, the dataset includes the species covered, publication dates, taxonomic classification, the number of times physiology was mentioned, the types of physiological traits included, and the threats the associated organism faces.</p>
Supporting information - A value creation model from science-society interconnections: Components and archetypes
<p>Data protocol and datasets used for the study entitled 'A value creation model from science-society interconnections: Components and archetypes'. </p> <p><strong>Abstract of the paper:</strong></p> <p>The interplay between science and society takes place through a wide range of intertwined relationships and mutual influences that shape each other and facilitate continuous knowledge flows. Stylised consequentialist perspectives on valuable knowledge moving from public science to society in linear and recursive pathways, whilst informative, cannot fully capture the broad spectrum of value creation possibilities. As an alternative we experiment with an approach that gathers together diverse science-society interconnections and reciprocal research-related knowledge processes that can generate valorisation. Our approach to value creation attempts to incorporate multiple facets, directions and dynamics in which constellations of scientific and societal actors generate value from research. The paper develops a conceptual model based on a set of nine value components derived from four key research-related knowledge processes: production, translation, communication, and utilization. The paper conducts an exploratory empirical study to investigate whether a set of archetypes can be discerned among these components that structure science-society interconnections. We explore how such archetypes vary between major scientific fields. Each archetype is overlaid on a research topic map, with our results showing that different archetypes correspond to distinctive topic areas. The paper finishes by discussing the significance and limitations of our results and the potential of both our model and our empirical approach for further research.</p>
CCG Programme overview: information flows
<p>Schematic representation of the CCG Programme and related information flows across Output Areas (OA) and Work Streams (WS), with expected outcomes and interactions with external partner countries and international partner organisations. </p>
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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.