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6,025 results for “Science of science”
FIGURES 5–8 in Type specimens of Sphecidae (Hymenoptera, Apoidea) in the Zoological Institute of the Russian Academy of Sciences in St. Petersburg
FIGURES 5–8. Types of Sceliphrini. 5—Pelopoeus atripes F. Morawitz: a—Lectotype, ♀; b—labels, Lectotype, ♀. 6— Sceliphron pulchellum Gussakovskij: a—Holotype, Ƌ; b—labels, Holotype, Ƌ. 7—Sceliphron shestakovi Gussakovskij: a— Holotype, ♀; b—labels, Holotype, ♀. 8—Sceliphron turanicum Gussakovskij: a—Syntype, ♀; b—labels, ♀; c—Syntype, Ƌ; d—labels, ♂.
FIGURES 1–4 in Type specimens of Sphecidae (Hymenoptera, Apoidea) in the Zoological Institute of the Russian Academy of Sciences in St. Petersburg
FIGURES 1–4. Types of Chlorion and Palmodes. 1—Chlorion magnificum F. Morawitz: a—Syntype, ♀; b—labels, ♀; c— Syntype, Ƌ; d—labels, Ƌ. 2—Chlorion semenowi F. Morawitz: a—Syntype, ♀; b—labels, ♀. 3—Sphex minor F. Morawitz: a—Syntype, ♀; b—labels, ♀. 4—Sphex montanus F. Morawitz: a—Holotype, ♀; b—labels, Holotype, ♀.
FIGURES 12–18 in Type specimens of Sphecidae (Hymenoptera, Apoidea) in the Zoological Institute of the Russian Academy of Sciences in St. Petersburg
FIGURES 12–18. Types of Prionyx and Palmodes. 12—Sphex hispidus F. Morawitz: a—Lectotype, ♀; b—labels, Lectotype, ♀. 13—Sphex leuconotus F. Morawitz: a—Lectotype, ♀; b—labels, Lectotype, ♀. 14—Sphex melanotus F. Morawitz: a— Lectotype, ♀; b—labels, Lectotype, ♀; c—Paralectotype, Ƌ; d—labels, Paralectotype, Ƌ. 15—Sphex tenuicornis F. Morawitz: a—Lectotype, ♀; b—labels, Lectotype, ♀. 16—Sphex suavis F. Morawitz: a—Lectotype, ♀; b—labels, Lectotype, ♀; c— Paralectotype, Ƌ; d—labels, Paralectotype, Ƌ. 17—Sphex zarudnyi Gussakovskij: a—Lectotype, ♀; b—labels, Lectotype, ♀. 18—Sphex pusillus Gussakovskij: a—Holotype, Ƌ; b—labels, Holotype, Ƌ.
Rapprochement sciences-sociétés vu par les étudiants africains
<p>Données utilisées lors de ma présentation au Séminaire international sur la 3ème mission de l’enseignement supérieur, panel sur Les étudiants, la cité et l’enseignement supérieur</p>
FIGURE 1. A in Rediscovery of the holotypes of Mustela africana stolzmanni Taczanowski, 1881 (Carnivora: Mustelidae) and Cuniculus taczanowskii Stolzmann, 1885 (Rodentia: Cuniculidae) at the Museum and Institute of Zoology Polish Academy of Sciences in Warsaw, Poland
FIGURE 1. A) Holotype of Amazon weasel Mustela africana stolzmanni Taczanowski, 1881 (MIZ 83480), B) Jaw and part of skull of holotype specimen of Amazon weasel (MIZ 79411), C) Holotype of Mountain paca Cuniculus taczanowskii Stolzmann, 1885 (MIZ 77780), D) A label of holotype specimen of Amazon weasel (MIZ 83480), E) A label of holotype specimen of Mountain paca (MIZ 77780).
Supplementary material from "Utilising citizen science data to rapidly assess changing associations between wild birds and avian influenza outbreaks in poultry."
<p>Stephen H. Vickers, Jayna Raghwani, Ashley C. Banyard, Ian H. Brown, Guillaume Fournie and Sarah C. Hill </p>
Joined up thinking: linking and sharing Science Museum collections and content
<p>The Science Museum has much content online featuring its collections, objects and contextual stories, but this is fragmented across many websites and fails to add up to a credible and coherent online destination. It is known from our analytics that rich engagement with our online content takes place across the internet; on blogs, on twitter etc, but this engagement isn't reflected on our own web presence.</p><p>Our user-centred design process told us that users had relatively little interest in the data itself - their goal was content - but that the richness of the linkages our data could drive greatly increased the content's value. We set up a project to create aggregated content on our core website, interlinking it from various domains - archives and images, collections catalogues and content management systems - through its key ideas; allowing it to form a nexus for the wider conversations taking place around it.</p><p>As a result we have built a new infrastructure with linked open data at its heart. We have adopted a pragmatic ontological approach to maintain the integrity of our data sources, while leaving open the possibility of translating this for a greater variety of ontologies in the future. The result is an online product with an underlying data structure that combines two networks of linkages: a data-driven, structured, ontological one; and an organic one driven by user behaviour, creating a flexible platform with long term value - the simplest possible solution to a complex problem.</p>
Is epistemological purism possible in Library and Information Science research?
<p><strong>Is epistemological purism possible in Library and Information Science research?</strong></p><p>Several scholars in Knowledge Organization (KO) and in Library and Information Science (LIS) have expressed concern that the field seems driven primarily by practical applications and professional practices. Others have stressed the need for research in the field to be more theoretically motivated, lest it continue to be perceived not as a scientific field but simply as a set of techniques used to solve problems. Hence, there have been calls for scholars and practitioners to make explicit the epistemological assumptions underlying methods used to design information services and tools for their users as this can help identify inherent biases. </p><p>In answer to these calls, we examined the epistemological assumptions underlying methods deployed in some fields of KO and LIS – namely information retrieval and topic mapping. A careful examination of the underlying assumptions to these methods showed that they exhibited epistemological hybridity, in this case, a combination of empiricism and positivism with a dash of pragmatism and hermeneutics at the end. </p><p>We therefore hypothesize that it may not be a straightforward task for a researcher or an information professional to claim that a method borrows solely from positivism, rationalism, empiricism or social-constructivism or historicism or hermeneutics, simply because there is a gap between epistemological theories and methods linked to them. Also, a given piece of work may deploy methods linked to different epistemological theories.</p><p>Although our examples are taken from LIS and KO fields, we suspect that our observations may be generalized to other scientific disciplines and fields of inquiry.</p>
Cites received by Brazilian Journal of Information Science: research trends (BRAJIS)
<p>Dataset with the data of the paper "BRAJIS en WOS: impacto observado y visibilidad global"</p>
Dataset for Citizen Science as a Relevant Approach to the Challenges of Complex Thinking Development in Higher Education
<p>Dataset with questions and analysis for the article Citizen Science as a Relevant Approach to the Challenges of Complex Thinking Development in Higher Education: Mapping and Bibliometric Analysis</p>
Videnskabsformidlingsaktivitet – Science Communication – Nørre Lyndelse Friskole – Oktober 2023
Open the record for dataset details and reuse information.
Scholarships in Sustainability Science and Erasmus Mundus Scholarships 2024
<p>During the Sabai Webinar Series 3, hosted by the Shwetaungthagathu Reform Initiative Centre (SRIc), Burmese Young Experts, including Mr. Tin Shine Aung, PhD Candidate in Sustainability Science and Ms. Yin Min Myat, Master Degree in Archeological Material Science engaged in a discussion on Scholarships in Sustainability Science and Erasmus Mundus Scholarships 2024.</p><p> </p><p>They highlighted the requirement and task that is important to prepare the Erasmus Mundus Scholarships and United Nations University Scholarships for Myanmar Students.</p><p> </p><p>This Sabai Webinar Series was conducted under the Edu4SD project.</p>
Model data for "The GERB Obs4MIPs Radiative Flux Dataset: A new tool for climate model evaluation", submitted to Earth System Science Data
<p>© Crown Copyright, Met Office</p><p>The E1hrClimMon files contain the monthly mean diurnal cycles of TOA radiative fluxes (all-sky and clear-sky) for amip experiment of two configurations of HadGEM3: GC3.1 and GC5.0. The monthly mean diurnal cycle is constructed by averaging each UTC hourly mean over the entire month. The HadGEM3 OLR diagnostics used in this study differ from those submitted to CFMIP3. The OLR diagnostics submitted to CFMIP3 contain a correction that accounts for the surface temperature adjustment by the boundary layer scheme in model time steps between radiation time steps. This OLR diagnostic adjustment is introduced to conserve energy, but it significantly distorts the diurnal cycle of OLR. For comparison with the GERB obs4MIPs products, the OLR without this correction is recommended.</p><p>The COSP file contains the average monthly climatologies for the variables cfadLidarsr532 and clisccp for the amip simulations of GC3.1 and GC5.0.</p>
Supplemental Data for Cell Reports Physical Science article "Probing transference and field-induced polymer velocity in block copolymer electrolytes"
<p>The data and Jupyter notebook uploaded here is Supplemental Information for the article:</p><p><strong>Probing transference and field-induced polymer velocity in block copolymer electrolytes </strong></p><p>Coauthored by:</p><p>Michael D. Galluzzo, Hans-Georg Steinrück, Christopher J. Takacs, Aashutosh Mistry, Lorena S. Grundy, Chuntian Cao, Suresh Narayanan, Eric M. Dufresne, Qingteng Zhang, Venkat Srinivasan, Michael F. Toney, and Nitash P. Balsara.</p><p>Journal: Cell Reports Physical Science</p><p>Notes:</p><ul><li>This depository includes the experimental data used in Figure 2, 3, and 4 of the main text and an additional data set.</li><li>The Jupyter notebook "velocity_Echem_Data.ipynb' can be used to visualize the data in the .csv files provided in the folder 'echem' and 'XPCS_fits'.</li><li>The folder 'echem' contains the raw electrochemical data obtained from the two XPCS experiments discussed in the main text and an additional experiment set.</li><li>The folder 'XPCS_fits' contains the results of fitting the autocorrelation functions at each spatial position in the cell at each time point for the two XPCS experiments discussed in the main text and an additional experiment set. </li><li>The additional experiment included here (reffered to as Cell P in the Jupyter notebook) is not discussed in the main text, however it demonstrates that the second 'hump' in velocity (see Figure 3 and S5) that is observed after switching the direction of polarization was replicated in a separate experiment.</li></ul><p> </p>
DATASET SCIENCE & HEALTH FACTS
<p>SCIENCE AND HEALTH DATA </p>
FAIR Implementation Profiles for Social Science
<p>The repository consists of several folders.</p> <p><code>/FICs</code> consists of files for FAIR Implementation Communities. <code>/FIPs</code> consists of files for FAIR Implementation Profiles of these communities. <code>/FIP_reports</code> consists of reports for FAIR Implementation Profiles of these communities.</p> <p>In the file <code>Comparison_all_FIPs.xlsx</code> you can find detailed comparison of the FIPs. The file <code>Convergece_matrix.xlsx</code> gives you details of the convergence analysis.</p> <p>Please contact the authors for the latest version of the FIPs since FIPs are living documents.</p> <p>Please report errors to Shuai Wang at <a href="mailto:shuai.wang@vu.nl">shuai.wang@vu.nl</a>. Thank you!</p>
Quantifying how natural history traits contribute to bias in community science engagement: a case study using native and introduced orb weaver spiders in North America
<p>Raw data and R scripts for manuscript.</p>
Data for Airlines network analysis on an air-rail multimodal system. Journal of Open Aviation Science, 1(2)
<h2>About</h2> <p>This dataset contains all the input data required to generate the analysis and results of the article Delgado, L., Trapote-Barreira, C., Montlaur, A., Bolić, T., & Gurtner, G. (2023). <em>Airlines’ network analysis on an air-rail multimodal system</em>. Journal of Open Aviation Science, 1(2). <a href="https://doi.org/10.59490/joas.2023.7223" rel="nofollow">https://doi.org/10.59490/joas.2023.7223</a></p> <p>The code used is available on GitHub: <a href="https://github.com/UoW-ATM/joas_air_rail_network_analysis">https://github.com/UoW-ATM/joas_air_rail_network_analysis</a></p> <p>The path to the input data can be modified in the scripts provided in the GitHub repository. With the default setting, the input is in a folder called data.</p> <h2>Dataset structure</h2> <ul> <li>data_computed <ul> <li><em>rail_used_emissions.csv</em></li> <li><em>rail_used_emissions_2.csv</em></li> <li><em>routes_emissinos_v2.csv</em></li> </ul> </li> <li>flights_data4 <ul> <li>year=2023 <ul> <li>month=05 <ul> <li><em>1st_week_0523.csv</em></li> </ul> </li> </ul> </li> </ul> </li> <li>renfe <ul> <li>renfe_mid_long <ul> <li><em>agency.txt</em></li> <li><em>calendar.txt</em></li> <li><em>calendar_dates.txt</em></li> <li><em>routes.txt</em></li> <li><em>stops.txt</em></li> <li><em>stop_times.txt</em></li> <li><em>trips.txt</em></li> </ul> </li> </ul> </li> <li><em>aircraftDatabase.csv</em></li> <li><em>airport_static.csv</em></li> <li><em>code_seats.csv</em></li> <li><em>manual_fixed_airports.csv</em></li> <li><em>mat_corrected.csv</em></li> <li><em>type_code_missing.csv</em></li> </ul> <h2>Data description</h2> <h3>data_computed</h3> <p>This folder contains pre-computed values by the authors on rail and air emissions. These are estimated:</p> <ul> <li>For rail using <a href="http://ecopassenger.hafas.de/" rel="nofollow">EcoPassenger</a>.</li> <li>For flights based on the emission model from Montlaur, A., Delgado, L., & Trapote-Barreira, C. (2021). <a href="https://doi.org/10.3390/su131810401" rel="nofollow"><em>Analytical Models for CO<sub>2</sub> Emissions and Travel Time for Short-to-Medium-Haul Flights Considering Available Seats</em></a>. Sustainability 13.18 (2021) and from some specific flights using EUROCONTROL's <a href="https://www.eurocontrol.int/platform/integrated-aircraft-noise-and-emissions-modelling-platform">IMPACT </a>model.</li> </ul> <h3>flights_data4</h3> <p>Information from flights_data4 table from <a href="https://opensky-network.org/data/impala">OpenSky</a>. Please refer to the <a href="https://opensky-network.org/about/terms-of-use">terms of use of OpenSky</a> for the restrictions on the further use of these data.</p> <p>The file <em>1st_week_0523.csv </em>contains the information of the table flights_data4 from OpenSky for the week of the 1st May 2023 (01/05/2023 to 07/05/2003). This was downloaded with the SQL query </p> <p>SELECT * FROM flights_data4 WHERE lastseen >= 1682899200 AND firstseen <= 1683504000;</p> <p>Note that the lastseen and firstseen are in UnixTime and correspond to 2023-05-01 00:00:00 UTC and 2023-05-08 00:00:00 UTC respectively. This ensures capturing all flights landing on 01/05/2023 even if they departed the day before and departing on 07/05/2023 even if landing the day after.</p> <h3>renfe</h3> <p>renfe folder contains the General Transit Feed Specification (GTFS) data from the <a href="https://data.renfe.com/dataset/horarios-de-alta-velocidad-larga-distancia-y-media-distancia">Renfe</a> rail operator with the high-speed, long and medium distances timetables. Note that Renfe provides the data under a <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noopener">Creative Commons Attribution 4.0</a> license. </p> <h3>Other datasets</h3> <ul> <li><em>aircraftDatabase.csv </em>: Database containing information on aircraft information (type, manufacturer, license, etc.) as a function of their transponder icao24 code. Obtained from <a href="https://opensky-network.org/aircraft-database">OpenSky</a>.</li> <li><em>airport_static.csv</em>: Airport ICAO code, latitude and longitude.</li> <li><em>code_seats.csv</em>: allows each aircraft model to be related to the seats in the cabin. It has been extracted from airline websites and other sources.</li> <li><em>manual_fixed_airports.csv</em>: List of manually modified airports for arrival/departure to fix wrong rotations from OpenSky data. For each airport ICAO code, it provides the one that should be used instead and some information on that airport (e.g., name)</li> <li><em>mat_corrected.csv</em>: identifies the rotation of each aircraft in the week of study. This is especially relevant for fleet analysis as it is necessary to know the start and end airport of each rotation for each day. It has been identified with an ad-hoc algorithm, and some data has been corrected with <a href="https://www.flightradar24.com/">FlightRadar24</a> data support.</li> <li><em>type_code_missing.csv</em>: relates the transponders' icao24 identifiers missing from OpenSky to the aircraft type (complement aircraftDatabase), compiled from <a href="https://www.flightradar24.com/" rel="nofollow">FlightRadar24</a>.</li> </ul>
Impostor Syndrome in Final Year Computer Science Students: An Eye Tracking and Biometrics Study
<p>These are the artifacts that are associated with the paper: <strong>Impostor Syndrome in Final Year Computer Science Students: An Eye Tracking and Biometrics Study</strong></p> <p>This paper was accepted for publication at the 18th International Conference on Augmented Cognition</p> <p>The preprint of the paper is available at: https://arxiv.org/abs/2404.10194</p>
Data from: Mapping wing morphs of Tetrix subulata using citizen science data: flightless groundhoppers are more prevalent in grasslands near water
<p>To analyse the correlation between groundhopper wing morph and landscape characteristics, we collected the following data. GBIF observations of <em>Tetrix subulata</em> (Linnaeus, 1758) in the Netherlands were annotated with wing morph and sex (based on the images), and weather and landscape information (based on the location). The weather information is based on an interpolation of data from the Royal Netherlands Meteorological Institute (KNMI). Landscape and habitat information was characterised by determining the area of different area types, from the Basisregistratie Topografie (BRT) TOP10NL dataset, in a radius around the observation. The landscape information also includes Dutch physical-geographical regions. To check for possible effects of seasonality, the event date of the observation is included. To check for the effect of the landscape radius on the analysis, those analyses were repeated for different radiuses. Depending on the precision of the coordinate location, some radiuses could not be tested for some observations. </p> <p>The file "data.csv" contains one row per observation-radius combination, with the following columns (* repeated for each radius):</p> <table> <tbody> <tr> <td><strong>Columns</strong></td> <td><strong>Description</strong></td> </tr> <tr> <td>gbifID*</td> <td>ID of the observation on GBIF</td> </tr> <tr> <td>eventDate*</td> <td>Date of observation (YYYY-MM-DD)</td> </tr> <tr> <td>wing_morph*</td> <td>Wing morph annotation (long; short)</td> </tr> <tr> <td>sex*</td> <td>Sex annotation (female; male; obscured; multiple; reevaluate i.e. unknown)</td> </tr> <tr> <td>region*</td> <td>Physical-geographical region in which the observation was made</td> </tr> <tr> <td>temperature*</td> <td>Predicted temperature (average over 1991-2020; degrees Celsius)</td> </tr> <tr> <td>windspeed*</td> <td>Predicted windspeed (average over 1991-2020; meters per second)</td> </tr> <tr> <td>precipitation*</td> <td>Predicted precipitation (average over 1991-2020; millimeters)</td> </tr> <tr> <td>landscape_radius</td> <td>Landscape radius (50, 100, 200, 500, or 1000 meters)</td> </tr> <tr> <td>deciduous forest, grass, mixed forest, ...</td> <td>Total surface area of given area type in given radius around observation (square meters)</td> </tr> </tbody> </table>
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.