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6,025 results for “Science of science”
Evaluation of different Open Science projects based on Vienna principles.
<p>Evaluation of different Open Science projects based on Vienna principles.</p>
[Update 2021] Cara mudah Submit Jurnal ke Clarivate Web of Science
<p>Yth. Bapak dan ibu Pengelola Jurnal</p> <p>Berikut ini adalah Update 2021 atau Info Terkini Cara mudah Submit Jurnal ke Clarivate Web of Science: <a href="https://www.youtube.com/watch?v=Maycjw2HFY4">https://www.youtube.com/watch?v=Maycjw2HFY4</a> atau ke link URL ini:<br> <a href="https://www.jihadisjurnal.com/2021/09/link-url-mendaftarkan-jurnal-ke-wos.html">https://www.jihadisjurnal.com/2021/09/link-url-mendaftarkan-jurnal-ke-wos.html</a></p>
Does the System of Radiological Protection Require Science to the Nth Degree to be Fit For Purpose?
<p>The objective of the of the System is "to contribute to an appropriate level of protection for people and the environment" according to ICRP 103. This may be broadly accepted as the purpose of the System. An inherent requirement for protection is an understanding of the risk, where the System burdens Radiation Protection Practitioners with an assumption; a theory. Adoption of LNT has made it mandatory to wear 7 kg of PPE during for a long surgery with a short X-ray exam in the middle, adding a risk of musculoskeletal injuries. In a practical, holistic approach to safety accepting the risk of life long debilitating injury to avoid 0.0025% risk of cancer at some uncertain time is difficult to justify. The discussion paper acknowledges the uncertainty of the LNT Hypothesis. However, despite the uncertainty proposes its continuation at all radiation levels.</p> <p>Is the purpose of the System the pursuit of pure science, or is the purpose to provide practitioners with the ability to protect people?</p>
Combined data file for Jilbert et al. "Anthropogenic Inputs of Terrestrial Organic Matter Influence Carbon Loading and Methanogenesis in Coastal Baltic Sea Sediments", Frontiers in Earth Science 9, 2021
<p>The datafile contains all the new raw data presented in the figures in the publication.</p>
Data Supplement for 'Curled Wake Development of a Yawed Wind Turbine at Turbulent and Sheared Inflow' - Wind Energy Science Journal
<p>Data Supplement for 'Curled Wake Development of a Yawed Wind Turbine at Turbulent and Sheared Inflow' - Wind Energy Science Journal</p> <p>This database contains the measurement using a model wind turbine with 0.6m diameter(D) in a wind tunnel. A short-range Lidar WindScanner facilitated mapping the wake with a high spatial and temporal resolution in vertical, cross-stream planes at different downstream locations and in a horizontal plane at hub height.</p> <p>The measurement campaign was conducted in the large wind tunnel at ForWind-University of Oldenburg. The wind tunnel has a test section cross-section with the dimensions of 3m x3m. For this study three movable test section elements of 6m length were attached for a total enclosed length of 18m. The roof of the test section was adjusted to compensate for boundary layer growth to achieve a zero pressure gradient for the target wind speed of the experiments, nominally 7.5m/s, with an empty tunnel with no grid or turbine installed. The three-bladed MoWiTO 0.6 wind turbine model(Schottler et al.(2016)), with a hub height (h) of 0.77m and a diameter of 0.58m was placed at a distance of 2.4D downstream of the test section inlet, where the distance was measured to the centre of the rotor. In addition, the distance between the rotor center and the tower center is 110mm.<br> The flow blockage, based on rotor swept area and tower flow-facing area, was 2.7%. The wind turbine controller is based on the torque of the generator (Petrovi ́c et al. (2018)) leading to a tip speed ratio of 5.7 at the operational point during non-misaligned cases with no grid. More information can be found in the paper.</p> <p>The folder contains 12 unique .mat files each containing a matlab structure. The matlab structure conatins the vertical and horizontal scan for each inflow and operational condition:<br> With the upstream turbine installed:<br> - Yaw0_Uniform_NoGrid<br> - 1D, 2D, 3D, 5D, 13D, 16D, Horizontal<br> - Yaw30_Uniform_NoGrid<br> - 1D, 2D, 3D, 5D, 13D, 16D, Horizontal<br> - Yawneg30_Uniform_NoGrid<br> - 1D, 2D, 3D, 5D, 13D, 16D, Horizontal</p> <p> - Yaw0_Uniform_PassiveGrid<br> - 1D, 2D, 3D, 5D, 7D, 10D, Horizontal<br> - Yaw30_Uniform_PassiveGrid<br> - 1D, 2D, 3D, 5D, 7D, 10D, Horizontal<br> - Yawneg30_Uniform_PassiveGrid<br> - 1D, 2D, 3D, 5D, 7D, 10D, Horizontal </p> <p> - Yaw0_BoundaryLayer_PassiveGrid<br> - 1D, 2D, 3D, 5D, 7D, 10D, Horizontal<br> - Yaw30_BoundaryLayer_PassiveGrid<br> - 1D, 2D, 3D, 5D, 7D, 10D, Horizontal<br> - Yawneg30_BoundaryLayer_PassiveGrid<br> - 1D, 2D, 3D, 5D, 7D, 10D, Horizontal </p> <p>Without the upstream turbine installed:<br> - NoTurbine_Uniform_NoGrid<br> - 1D, 2D, 3D, 5D, 13D, 16D<br> - NoTurbine_Uniform_PassiveGrid<br> - 0D, 1D, 2D, 3D, 5D, 7D, 10D<br> - NoTurbine_BoundaryLayer_PassiveGrid<br> - 0D, 1D, 2D, 3D, 5D, 7D, 10D </p> <p>Within each substructure the following parameters are provided:<br> - v_los [m/s] ----------> Line of sight velocity<br> - sigma [m/s] ----------> Spectrum width<br> - x_Global_frame [m] ---> x-coordinate referenced at the lower grid midpoint<br> - y_Global_frame [m] ---> y-coordinate referenced at the lower grid midpoint<br> - z_Global_frame [m] ---> z-coordinate referenced at the lower grid midpoint<br> - xx [m] ---------------> Grid of the x-coordinate referenced at the lower grid midpoint<br> - yy [m] ---------------> Grid of the y-coordinate referenced at the lower grid midpoint<br> - zz [m] ---------------> Grid of the z-coordinate referenced at the lower grid midpoint<br> - uu [m/s] -------------> Horizontal wind speed at the position of the gridded coordinates, these data have been interpolated onto the grid<br> </p> <p>When using this database please reference to the journal paper.</p> <p>All data has been included without warranty, express or implied.</p> <p>For further questions, please contact the corresponding author.<br> </p>
Information Science & Library Science Landmarks
<p>This dataset was used in a study for the Information Science & Library Science Landmarks. </p>
Prehistoric Mining sites in the Lower Inn Valley - Federal Monuments Office documentation of the project Austrian Science Fund project "Prehistoric copper production in the eastern and central Alps" (I 1670)
<p>The dataset contains all tables and RDF-triples created based on the following Federal Monuments Office Documentations</p> <ul> <li>87002.15.01_Verhuettungsplatz_suedlich_Ruine_Rottenburg: <a href="https://zenodo.org/record/5243460"> https://zenodo.org/record/5243460</a></li> <li>87002.16.01_Verhuettungsplatz_suedlich_Ruine_Rottenburg: <a href="https://zenodo.org/record/5244755"> https://zenodo.org/record/5244755</a></li> <li>87002.17.01_Verhuettungsplatz_suedlich_Ruine_Rottenburg: <a href="https://zenodo.org/record/5244794"> https://zenodo.org/record/5244794</a></li> <li>87007.15.01_Bergbaurevier_Schwaz_Brixlegg: <a href="https://zenodo.org/record/5236664"> https://zenodo.org/record/5236664</a></li> <li>87007.16.01_Bergbaurevier_Schwaz_Brixlegg: <a href="https://zenodo.org/record/5243123"> https://zenodo.org/record/5243123</a></li> <li>87009.16.01_Erzaufbereitungsplatz_Schrofen: <a href="https://zenodo.org/record/5243416"> https://zenodo.org/record/5243416</a></li> </ul>
Raw CyTOF images associated with Moldoveanu et al. 2022, Science Immunology
<p>This dataset contains the raw CyTOF images associated with the paper "An In-depth Map of the Melanoma Immune Microenvironment and Correlates of Immunotherapy Response by Imaging Mass Cytometry" (Moldoveanu et al. 2022). The MCD files output by CyTOF IMC were exported to one TIFF per channel per sample. This dataset contains one directory per sample (see Supplementary Table S1 for additional information). Each directory contains 46 TIFF images, which includes the 35 channels used in our study, 1 TIFF of the cell segmentation mask, and 10 TIFFs associated with background or unused channels.</p>
Data from Schaffter, S.W. and Strychalski, E.A. "Co-transcriptionally encoded RNA strand displacement circuits" Science Advances (2022)
<p>The <strong>ctRSD_data_upload.xlsx</strong> file contains both the raw and normalized fluorescence data from this manuscript.</p> <p>In the Excel file, rows highlighted in green indicate the times when T7 RNAP was added to the samples. Plots of data in the manuscript designate this time as time = 0 min.</p> <p>The <strong>figure2D_fluorescence_data_plotting.py</strong> file is an example showing how the data was imported from the Excel file and plotted in the manuscript.</p> <p>In the script, the save_loc variable will need to be changed to the path pointing to where the ctRSD_data_upload.xlsx file (Data S1) is saved on a user’s local computer.</p>
The Relationship between Science, Technology, and Innovation Policy and Nanotechnology Entrepreneurship and Innovation
<p>Dataset for a paper examining the timing of science, technology, and innovation (STI) policy initiatives is critical to the outcomes that they produce. This study examines the advantages and disadvantages of enacting STI policy investments early in a nascent domain of activity - nanotechnology - by looking at patents abd publication data.</p>
Social Science Theories in Software Engineering Research - Replication Package
<p>Replication package for the article "Social Science Theories in Software Engineering Research".</p> <p>See README file for additional details.</p>
Mind Map of The European Bioinformatic infrastructure for the Life Sciences (ELIXIR) activities
<p>This diagram showcases the organisation of the different components of the ELIXIR network, with brief description of the activities therein.</p>
Survey Data | Public Engagement with Science: A Survey for India Alliance Grantees |
<p>Lately, the Indian research ecosystem has seen an upward trend in scientists showing interest in communicating their science and engaging with non-scientific audiences; however, the number and variety of science communication or public engagement activities undertaken formally by scientists remains low in the country. There could be many contributing factors for this trend. To explore this further, the science funding public charity in India, DBT/Wellcome Trust India Alliance (India Alliance), in a first of its kind of study by a funding agency in India, surveyed its 243 research grantees in November 2020 requesting their views on public engagement with science in India through an online survey. The survey included both quantitative as well as open-ended questions to assess the understanding of, participation in, and attitude of India Alliance Fellows/Grantees towards public engagement with research, identify the enablers, challenges, and barriers to public engagement for India Alliance Fellows/Grantees, understand the specific needs (training/capacity-building, funding, etc.) and develop recommendations for India Alliance as well as for the larger scientific ecosystem in the country. The survey showed that India Alliance grantees are largely motivated to engage with the public about science or their research but lack professional recognition and incentives, training and structural support to undertake public engagement activities.</p> <p>A shareable survey was designed using Microsoft Forms. The survey employed a mixed methods strategy and included 24 closed-ended questions (multiple choice and Likert scale) and nine qualitative questions, similar to open-ended questions. The questions were modelled on a similar survey carried out by Wellcome in 2016 to gather views of researchers on public engagement in Asia and Africa.</p> <p>The survey was shared by email with 243 Indian researchers in receipt of India Alliance fellowships or grants, out of which 137 (male – 78; female – 59) responded to the survey. Of these, 90 respondents were basic science researchers, 22 were clinical researchers, and 25 were public health researchers. A majority, i.e. 81% of the respondents indicated working as an independent researcher for more than 4 years (time post-PhD). Furthermore, 58% of the respondents were based at research institutions, 18% at higher education institutions, and 17% at central, state and private universities; these organisations geographically represent around 31 cities of India (9 respondents chose to not reveal their host institution in the survey). Periodic reminders were sent by email to the fellows to complete the survey. Three fellows who received funding from India Alliance for their public engagement projects were contacted via email after the survey for their views (in 50-150 words) on the public engagement funding programme of India Alliance. They were informed that their input is intended to be included in a report of the survey results, and they can choose to either stay anonymous or be credited. The data was collected from 27 November 2020 until 28 April 2021.</p> <p>Following the end of the survey, the data automatically mapped on Microsoft Excel was cleaned for duplication and errors. Microsoft Excel tools were used to analyse and visualise the data.</p> <p>The study did not undergo a formal ethical clearance process as the primary objective of the study was to gather insights of grantees to inform India Alliance’s public engagement support mechanisms. At the start of the survey, the objectives of the survey were clearly stated and the respondents were informed that the anonymized data of the survey may be communicated in the future. Participation in the survey was entirely voluntary.</p>
Dataset for Figure 2 in Zoccolotti, De Luca & Marinelli 2021 Brain Sciences_concept paper
<p>Dataset for Zoccolotti, P.; De Luca, M.; Marinelli, C.V. Interpreting Developmental Surface Dyslexia within a Comorbidity Perspective. Brain Sci. 2021, 11, 1568. https:// doi.org/10.3390/brainsci11121568</p> <p>Figure 2. Reading times (in s/word) in the reading of a list of 30 high-frequency words. Data (redrawn from [Pontillo, M.; De Luca, M.; Ellis, A.W.; Marinelli, C.V.; Spinelli, D.; Zoccolotti, P. Failure to learn a new format in developmental dyslexia. Sci. Rep. 2014, 4, 4869.]) refer to a cross-sectional study on a group of 1st to 8th grade typically developing children. Power functions indicate performance at the 10th, 30th, 50th, 70th, and 90th percentiles (curves from top to bottom). Vertical red bars mark the difference between the 90th and the 50th percentile foreach grade; note that the difference becomes quantitatively smaller at progressively higher grades (as indicated by shorter red bars). Horizontal blue bars link the performance corresponding to the 90th percentile with the corresponding performance at the level of the 50th percentile; this indicates the distance (in years) between the two levels of performance. Note that the distance (in years) increases at progressively higher grades (as indicated by longer blue bars).</p>
Data, code, and material associated with the paper "Biodiversity-related science communication in times of global crises"
<p>Data, code, and material associated with the paper „Biodiversity-related science communication in times of global crises“, subm.:</p> <ul> <li>R script to run the analysis</li> <li>Data needed to reproduce the results and figures</li> <li>IPBES region data (from https://doi.org/10.5281/zenodo.3928281)</li> </ul>
Measurements of heavy metals in the moss Orthotrichum lyellii collected using community science in the Duwamish Valley, Seattle, Washington, U.S.A.
<p>Heavy metals concentrations often vary at small spatial scales not captured by air monitoring networks, with implications for environmental justice in industrial-adjacent communities. Pollutants measured in moss tissues are commonly used as a screening tool to guide use of more expensive resources, like air monitors. We piloted a community science approach, engaging over 55 people from nine institutions, to map heavy metals using moss in two industrial-adjacent neighborhoods. Local youth led sampling of the moss <em>Orthotrichum lyellii</em> from trees across a 250×250-m sampling grid (n = 79). We compared their data with expert-collected samples (n = 19) using Principal Components Analysis and Procrustes Analysis. We mapped 21 chemical elements measured in moss, focusing on 6 toxic 'priority' metals: arsenic, cadmium, chromium, cobalt, lead, and nickel. We compared local data, using t-tests and boxplots, with two 'reference datasets' of <em>O. lyellii</em> collected in Portland, Oregon, and in Seattle City Parks. We also use Principal Components Analysis to describe major gradients in metals in the study area. Our data submission includes two R scripts and four datasets of heavy metals in moss, including the two reference datasets, which will enable replication of our analyses as well as novel analyses.</p>
Mein liebster Schatz! Das Citizen Science-Projekt Gruß &Kuss stellt sich vor
<p>Posterslambeitrag zur DHd2022. Kulturen des digitalen Gedächtnisses</p>
Figure 1 in Notes on broodcare by Hindumanes and updated distribution of the genus from published records and citizen science observations (Araneae: Salticidae: Lyssomaninae)
Figure 1. Male (1) and female (2) Hindumanes karnatakensis from Wayanad Wildlife Sanctuary, Kerala (31 MAY 2015). These are the individuals described by Sudin, Nafin & Sudhikumar (2017), and also appear as records (5) and (4), respectively, in Table 2. Photographs © K. S. Nafin (nafin_ks on iNaturalist), used under a CC BY-NC 4.0 license.
Figure 3 in Notes on broodcare by Hindumanes and updated distribution of the genus from published records and citizen science observations (Araneae: Salticidae: Lyssomaninae)
Figure 3. Known distribution of Hindumanes species in southern India. Numbers associated with each locality correspond to records listed in Table 2. Based on available records, this genus is endemic to southern India, and no other lyssomanines are known from India. Map credits: 1-2, Enhanced satellite images courtesy of NASA; 2, Overlay of borders, towns and roads courtesy of OpenStreetMap, © OpenStreetMap contributors (https://www.openstreetmap.org/copyright).
Figure 2. Female Hindumanes guarding her brood nest under a in Notes on broodcare by Hindumanes and updated distribution of the genus from published records and citizen science observations (Araneae: Salticidae: Lyssomaninae)
Figure 2. Female Hindumanes guarding her brood nest under a Colocasia esculenta leaf in a residential garden, Gudalur, Tamil Nadu (10:47-10:52, 17 AUG 2019). The young were just beginning to hatch. This is record 10 in Table 2 and Map Figure 3.
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.