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761 results for “data journal”
Supplementary file pwt: United States vendors for commonly used supplies. from Collecting and Preserving Marine and Freshwater Isopoda (Crustacea: Peracarida) - Biodiversity Data Journal 3: e4912 (12 May 2015) https://doi.org/10.3897/BDJ.3.e4912
United States vendors for commonly used supplies.
Figure 4. from Inventory of the Heteroptera (Insecta: Hemiptera) in Komaba Campus of the University of Tokyo, a highly urbanized area in Japan - Biodiversity Data Journal 3: e4981 (24 April 2015) https://doi.org/10.3897/BDJ.3.e4981
Figure 4. - An example of a campus sampling point, indicating as "pic2" in Fig. 2.
Figure 2. from Luzonichthys seaver, a new species of Anthiinae (Perciformes, Serranidae) from Pohnpei, Micronesia - Biodiversity Data Journal 3: e4902 (27 April 2015) https://doi.org/10.3897/BDJ.3.e4902
Figure 2. - Luzonichthys earlei, from the Hawaiian Islands. Photo: John E. Randall.
Figure 1. from Inventory of the Heteroptera (Insecta: Hemiptera) in Komaba Campus of the University of Tokyo, a highly urbanized area in Japan - Biodiversity Data Journal 3: e4981 (24 April 2015) https://doi.org/10.3897/BDJ.3.e4981
Figure 1. - Locations of the Komaba Campus and six reference sites in Tokyo, Japan.
Figure 1. from Black flies (Diptera: Simuliidae) of Turkish Thrace, with a new record for Turkey - Biodiversity Data Journal 3: e4834 (22 April 2015) https://doi.org/10.3897/BDJ.3.e4834
Figure 1. - Map of collecting sites for black flies in Turkish Thrace. Suppl. material 1.
Figure 13. from A checklist of the Ukrainian Xoridinae (Hymenoptera, Ichneumonidae) - Biodiversity Data Journal 3: e4832 (24 September 2015) https://doi.org/10.3897/BDJ.3.e4832
Figure 13. - Xoridesstepposus Kasparyan, 1981.
Figure 12. from A checklist of the Ukrainian Xoridinae (Hymenoptera, Ichneumonidae) - Biodiversity Data Journal 3: e4832 (24 September 2015) https://doi.org/10.3897/BDJ.3.e4832
Figure 12. - Xoridessepulchralis (Holmgren, 1860).
Figure 7. from A checklist of the Ukrainian Xoridinae (Hymenoptera, Ichneumonidae) - Biodiversity Data Journal 3: e4832 (24 September 2015) https://doi.org/10.3897/BDJ.3.e4832
Figure 7. - Xoridesflavotibialis Hilszczanski, 2000.
Figure 9. from A checklist of the Ukrainian Xoridinae (Hymenoptera, Ichneumonidae) - Biodiversity Data Journal 3: e4832 (24 September 2015) https://doi.org/10.3897/BDJ.3.e4832
Figure 9. - Xorideshedwigi Clement, 1938.
Figure 2. from: Tree Diversity and Dynamics of the Forest of Seu Nico, Viçosa, Minas Gerais, Brazil - Biodiversity Data Journal 3: e5425 (31 July 2015) https://doi.org/10.3897/BDJ.3.e5425
Figure 2. - Croqui of the 100 x 100 m FSN Dynamics Plot (Suppl. material 1).
Data files for «Wood warbler population dynamics in response to mast seeding regimes in Europe», Journal: Ecology
<p><strong>Abstract</strong></p><p>Mast seeding is the episodic, massive production of plant seeds synchronized over large areas. The resulting superabundance of seeds represents a resource pulse that can profoundly affect animal populations across trophic levels. Following years of high seed production, abundances of both seed consumers and their predators increase. Higher predator abundance leads to increased predation pressure across the trophic web, impacting non-seed consumers such as the wood warbler <i>Phylloscopus sibilatrix</i> through increased nest predation after tree mast years. Over the past 30 years, the frequency of tree seed masts has increased while wood warbler populations have declined in several regions of Europe. We hypothesised that increasing mast frequencies may have contributed to the observed population declines by creating suboptimal breeding conditions in years after masting. We measured reproductive output in four study areas in central Europe, which was between 0.61 and 1.24 fledglings lower in years following masting than non-masting. For each study area, we used matrix population models to predict population trends based on the estimated reproductive output and the local mast frequencies. We then compared the predicted with the observed population trends to assess if the frequency of mast years contributed to the population dynamics. In Wielkopolska National Park (PL) and Hessen (DE), masting occurred on average only every 4 years and populations were stable or nearly so, whereas in Jura (CH) and Białowieża National Park (PL), masting occurred every 2 and 2.5 years, respectively, and populations were declining. The simple matrix population models predicted the relative difference among local population trends over the past 10-20 years well, suggesting that the masting frequency may partly explain regional variation in population trends. Simulations suggest that further increases in mast frequency will lead to further declines in wood warbler populations. We show that changes in a natural process, such as mast seeding, may contribute to the declines of animal populations through cascading effects.</p>
Supplementary material 1 from: Jasso-Martínez JM, Brady SG, Kula RR (2023) Phylogenetic affinities of the non-cyclostome subfamilies Amicrocentrinae and Dirrhopinae (Hymenoptera, Braconidae) confirmed by ultraconserved element data. Journal of Hymenoptera Research 96: 1017-1030. https://doi.org/10.3897/jhr.96.111012
Maximum likelihood tree resulting from the 50% complete matrix without collapsed clades and with full names of the terminal taxa
Supplemental Data for the Journal Article Entitled Accelerating FEM-based Corrosion Predictions using Machine Learning submitted for publication to the Journal of the Electrochemical Society.
<p>This repository contains the Supplemental Data for the Journal Article Entitled Accelerating FEM-based Corrosion Predictions using Machine Learning submitted for publication to the Journal of the Electrochemical Society.</p> <p>Authors:</p> <p>David Montes de Oca Zapiain 1, Demitri Maestas 1, Matthew Roop 1,2, Philip Noel 1, Michael Melia 1, Ryan Katona 1</p> <p>1 Sandia National Laboratories, Albuquerque, NM 87185, USA <br>2 University of New Mexico, Albuquerque, NM 87131, USA</p> <p>Each folder contains a ReadMe.txt describing the files and their organization within each folder. </p> <p><br>Acknowledgements:<br>Sandia National Laboratories is a multi-mission laboratory managed and operated by National Technology and Engineering Solutions of Sandia, LLC., a wholly owned subsidiary of Honeywell International, Inc.,<br>for the U.S. Department of Energy National Nuclear Security Administration under contract DE-NA0003525. The views expressed in the article<br>do not necessarily represent the views of the U.S. Department of Energy or the United States Government. SAND No: SAND2023-14419O</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>
Data for the AGU journal submission 2023RS007925R
<pre>This file contains data required to reproduce plots in "Design and Characterization of the Engineering Model of the Spectrometer Onboard LuSEE-Night" by Emi Tamura et al, which has been accepted for publication in Radio Science.</pre>
Supplementary material 1 from: Heller K-G, Hemp C (2024) Egg shape and size in Phaneropterinae and other Tettigonioidea (Orthoptera, Ensifera): A global review with new data. Journal of Orthoptera Research 33(1): 103-112. https://doi.org/10.3897/jor.33.116173
Supplementary material 1 from: Heller K-G, Hemp C (2024) Egg shape and size in Phaneropterinae and other Tettigonioidea (Orthoptera, Ensifera): A global review with new data. Journal of Orthoptera Research 33(1): 103-112. https://doi.org/10.3897/jor.33.116173
Supplementary material 2 from: Heller K-G, Hemp C (2024) Egg shape and size in Phaneropterinae and other Tettigonioidea (Orthoptera, Ensifera): A global review with new data. Journal of Orthoptera Research 33(1): 103-112. https://doi.org/10.3897/jor.33.116173
Supplementary material 2 from: Heller K-G, Hemp C (2024) Egg shape and size in Phaneropterinae and other Tettigonioidea (Orthoptera, Ensifera): A global review with new data. Journal of Orthoptera Research 33(1): 103-112. https://doi.org/10.3897/jor.33.116173
Data archive for the peer-reviewed journal article "Major source categories of PM2.5 oxidative potential in wintertime Beijing and surroundings based on online dithiothreitol-based field measurements"
<p>This data archive accompanying the article "Major source categories of PM2.5 oxidative potential in wintertime Beijing and surroundings based on online dithiothreitol-based field measurements", which was accepted in April 2024 in the peer-reviewed journal <strong><em>Science of the Total Environment</em></strong>. This data archive contains the processed OPvDTT measurements, chemical speciation of PM2.5, and source contribution used in the manuscript.</p>
Raw data of journal paper of Effects of Mineralisation on the Hierarchical Organisation of Collagen – a Synchrotron X-ray Scattering and Polarised Second Harmonic Generation Study
<p>Both raw data of pSHG and XRD are stored in .mat format, which includes the I2 values, SHG intensity, D-period, intermolecular spacing, fibril dispersion, molecular dispersion and supramolecular twist. </p>
Public availability of research data in General and Internal Medicine journals
<p>Metrics and Journals including supplementary material classification sorted by quartile of the JCR “Medicine, General & Internal” category (2019 Science Citation Index Edition)</p>
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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.