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5,184 results for “young”

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zenodo44/100

Data associated with the Tectonics manuscript "Building a Young Mountain Range: Insight into the Growth of the Greater Caucasus Mountains from Detrital Zircon (U-Th)/He Thermochronology and 10Be Erosion Rates"

U-Pb and U-Th/He ages of zircons from a suite of detrital catchments reported in the manuscript "Building a Young Mountain Range: Insight into the Growth of the Greater Caucasus Mountains from Detrital Zircon (U-Th)/He Thermochronology and 10Be Erosion Rates" submitted to Tectonics. Repository includes sample locations and DEMs of each sampled catchment.

opencc-by-4.0Apr 2022View details →

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Young people's media use and adherence to preventive measures in the "infodemic": Is it masked by political ideology?

Data to replicate the publication "Young people's media use and adherence to preventive measures in the “infodemic”: Is it masked by political ideology?". This publication examines the role of political ideology and political extremism for COVID-19 information seeking and preventive behaviour with data of the COVIDisc project. COVIDisc investigates how young people aged 15 to 34 years perceive the discussion in the Coronavirus Pandemic, which messages reach them, what media they use to inform themselves and how they experience the situation. en

opencc-by-4.0Sep 2022View details →

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The winds of young Solar-type stars in the Hyades - Quiet Sun model

This is the quiet Sun model from my MNRAS paper "The winds of young Solar-type stars in the Hyades"(https://doi.org/10.1093/mnras/stab1696). Please see the paper for a full description.

opencc-by-4.0Sep 2022View details →

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Phillip T. Young (y0037)

-- <a href="https://doi.org/10.5281/zenodo.11582199">Documentation</a> -- Name: Phillip T. Young musiXplora-ID: y0037 musiXplora-URI: <a href="https://musixplora.de/mxp/y0037">https://musixplora.de/mxp/y0037</a> Gender: m Nationalities: us, ca Date of Birth: 02 March 1926 Place of Birth: Milton Date of Death: 09 December 2002 Place of Death: Victoria First Mentioned: 1949 Sectors: Hochschule, Instrumentenbau, Musikforschung, Orchester Professions (Musical): Fagottist, Holzblasinstrumentenbauer, Musikforscher Professions (Non-Musical): Professor, Präsident Other Places of Activity: Brunswick/Maine, Connecticut, New Haven Medien: <table><tbody><tr><th>Group</th><th>Role</th><th>Name</th><th>mXp-ID</th></tr><tr><td>VerfasserInnen</td><td>Verfasser</td><td>4900 Historical Woodwind Instruments. An inventory of 200 makers in international collections</td><td><a href="https://musixplora.de/mxp/5033453">5033453</a></td></tr><tr><td>VerfasserInnen</td><td>Verfasser</td><td>Twenty-five hundred historical woodwind instruments. An inventory of the major collections</td><td><a href="https://musixplora.de/mxp/5033454">5033454</a></td></tr></tbody></table> Changelog:   - v0.0.1: Initial Upload.

opencc-by-4.0Jun 2024View details →

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Peter Young (y0039)

-- <a href="https://doi.org/10.5281/zenodo.11582199">Documentation</a> -- Name: Peter Young musiXplora-ID: y0039 musiXplora-URI: <a href="https://musixplora.de/mxp/y0039">https://musixplora.de/mxp/y0039</a> Gender: m First Mentioned: 1770 Last Mentioned: 1778 Sectors: Geigenbau, Handwerk/Zunft Professions (Musical): Geigenbauer Professions (Non-Musical): Tischler Other Places of Activity: Philadelphia Titel/Medien: <table><tbody><tr><th>Role</th><th>Sigel</th><th>Title</th><th>mXp-ID</th></tr><tr><td>Related</td><td>AmGrove 2013</td><td>The Grove Dictionary of American Music. Ed. by Charles Hiroshi Garrett. 8 Bände</td><td><a href="https://musixplora.de/mxp/5020432">5020432</a></td></tr></tbody></table> Changelog:   - v0.0.1: Initial Upload.

opencc-by-4.0Jun 2024View details →

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Robert Brewer Young (y0038)

-- <a href="https://doi.org/10.5281/zenodo.11582199">Documentation</a> -- Name: Robert Brewer Young musiXplora-ID: y0038 musiXplora-URI: <a href="https://musixplora.de/mxp/y0038">https://musixplora.de/mxp/y0038</a> Gender: m Date of Birth: 1967 Place of Birth: Seattle/WA First Mentioned: 1990 Sectors: Archiv, Geigenbau, Hochschule Professions (Historical): Dozent, musical artist Professions (Musical): Geigenbauer, Restaurator Professions (Non-Musical): Archivar, Fotograf, Philosoph Other Places of Activity: London, New York, Oberlin/OH, Saas-Fe, San Francisco Arbeitsumfeld: <table><tbody><tr><th>Group</th><th>Role</th><th>Name</th><th>mXp-ID</th></tr><tr><td>KollegInnen</td><td>Kollege</td><td>Louis Jacques Gallet</td><td><a href="https://musixplora.de/mxp/g2391">g2391</a></td></tr></tbody></table> Portfolio: <table><tbody><tr><th>Group</th><th>Role</th><th>Name</th><th>mXp-ID</th></tr><tr><td>Sortimente</td><td>Sortiment</td><td>Geige</td><td><a href="https://musixplora.de/mxp/2001463">2001463</a></td></tr><tr><td>Sortimente</td><td>Sortiment</td><td>Bratsche</td><td><a href="https://musixplora.de/mxp/2001527">2001527</a></td></tr><tr><td>Sortimente</td><td>Sortiment</td><td>Violoncello</td><td><a href="https://musixplora.de/mxp/2001634">2001634</a></td></tr></tbody></table> Ereignisse: <table><tbody><tr></tr><tr><td>Teilnehmer</td><td></td><td>Tagung</td><td>6003480</td></tr></tbody></table> Changelog:   - v0.0.1: Initial Upload.

opencc-by-4.0Jun 2024View details →

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WYRED Platform, the ecosystem for the young people

The WYRED Platform is a technological ecosystem developed as part of WYRED (netWorked Youth Research for Empowerment in the Digital society), a European Project funded by the Horizon2020 programme. As society changes, there is a need to understand how it is changing, to explore what is going on. The young people have a key role to play in our society. They are frequently the drivers of new behaviours and understandings, and since they are part of the future society their views and perceptions should be considered. However, they are not well represented and their voices are unheard, and this makes it hard for research and policy to identify and understand their needs. The aim of the WYRED Platform is to provide the tools to support dialogue and research processes in which children and young people can express and explore the key issues that they consider as important. To design it, different stakeholders were involved, and several questionnaires and social dialogues were carried out. The WYRED Platform is organized in multicultural and interdisciplinary communities where young people can develop research projects with the support of facilitators from different European institutions and associations. The communities have different tools such as forums to establish dialogues and coordinate research cycles, calendars to share dates and organize events or activities, surveys to develop or evaluate the projects, a version control system for files to support the documentation generated during the research processes. Also, it provides a tool to publish the results of the research projects. One of its main innovations is the strongly commitment to user privacy, it is designed as a safe space in which children and young people can be free to express themselves as they wish. Moreover, it design is centred around and driven by children and young people.   Video link: <a href="https://youtu.be/TRDjN5boky8">https://youtu.be/TRDjN5boky8</a> (presented in the student design competition: video presentations of the HCI International 2018, held in Las Vegas, NV, USA, July 15-20, 2018).

opencc-by-4.0Jul 2018View details →

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GENEActiv accelerometer files collected during the project entitled "Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie" [Eng: "Eating cultures and behaviors of young people in French-speaking Pacific countries in the 21st century: the example of New Caledonia"] (anonymized version - third part)

<a title="GENEActiv" href="https://activinsights.com/technology/geneactiv/" target="_blank" rel="noopener">GENEActiv</a> accelerometer .csv files converted with a 1 second epoch from raw GENEActiv .bin files recorded during the project entitled "Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie" [en: "Eating cultures and behaviors of young people in French-speaking Pacific countries in the 21st century: the example of New Caledonia"]. Devices are 60-Hz triaxial accelerometers. This dataset also contains participantCharacteristics.csv that povides basic information about participants and read_a_binFile_share.R that is a short R code aiming at converting and saving accelerometer data from .bin files in 1 second epoch .csv files (consider the Methods section). Participant characteristics: 10 to 16 years old students and some parents. Number of participants: 231 (206 adolescents + 25 adults). Year of the study: 2018 - 2019. Place of the study: New Caledonia. The accelerometer .csv files with a 1 second epoch and extracted from raw .bin files are available in open datasets: <ul> <li><a title="Open dataset - first part" href="https://doi.org/10.5281/zenodo.12615468" target="_blank" rel="noopener">anonymized version - first part</a></li> <li><a title="Open dataset - second part" href="https://doi.org/10.5281/zenodo.12638746" target="_blank" rel="noopener">anonymized version - second part</a></li> <li><a title="Open dataset - third part" href="https://doi.org/10.5281/zenodo.12682660" target="_blank" rel="noopener">anonymized version - third part</a></li> </ul> The accelerometer raw .bin files are available in restricted datasets: <ul> <li><a title="Restricted dataset - first part" href="https://doi.org/10.5281/zenodo.11594645" target="_blank" rel="noopener">non-anonymized version - first part</a></li> <li><a title="Restricted dataset - second part" href="https://doi.org/10.5281/zenodo.12638965" target="_blank" rel="noopener">non-anonymized version - second part</a></li> <li><a title="Restricted dataset - third part" href="https://doi.org/10.5281/zenodo.12661429" target="_blank" rel="noopener">non-anonymized version - third part</a></li> </ul> Other participant characteristics (age, place of living, cultural community and socio-economic status) are available in a <a title="Information associated with GENEActiv accelerometer files collected during the project entitled "Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie" [en: "Eating cultures and behaviors of young people in French-speaking Pacific countries in the 21st century: the example of New Caledonia"] (non-anonymized information version)" href="https://doi.org/10.5281/zenodo.12195186" target="_blank" rel="noopener">restricted non-anonymized dataset</a>. When using this dataset, please cite the following reference: <a title="Wattelez et al. 2025" href="https://doi.org/10.1016/j.dib.2024.111228" target="_blank" rel="noopener">G. Wattelez, S. Frayon, O. Galy, Assessing physical activity/behavior of adolescents living in the Pacific with accelerometer data: 231 GENEActiv records in New Caledonia, Data in Brief 58 (2025) 111228, doi: 10.1016/j.dib.2024.111228</a>

embargoedcc-by-4.0Jun 2024View details →

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GENEActiv accelerometer files collected during the project entitled "Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie" [Eng: "Eating cultures and behaviors of young people in French-speaking Pacific countries in the 21st century: the example of New Caledonia"] (anonymized version - second part)

embargoedcc-by-4.0Jun 2024View details →

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Reproduction package for the paper "Two waves of massive stars running away from the young cluster R136"

<h2>Reproduction package for the paper "Two waves of massive stars running away from the young cluster R136".</h2> <ul> <li>This reproduction package aims for open science, with the internal API designation of 'Gold'</li> <li>Authors: M. Stoop, A. de Koter, L. Kaper, S. Brands, S. Portegies Zwart, H. Sana, F. Stoppa, M. Gieles, L. Mahy, T. Shenar, D. Guo, G. Nelemans, S. Rieder</li> <li>Paper DOI: https://doi.org/10.1038/s41586-024-08013-8</li> <li>Zenodo DOI: http://doi.org/10.5281/zenodo.10058762</li> <li>Published in Nature (date of publication: 2024/10/09)</li> </ul> <h2>Hardware</h2> <ul> <li>Tested on a MacBook Pro (13-inch, 2020, Four Thunderbolt 3 ports)</li> <li>Processor: 2 GHz Quad-Core Intel Core i5</li> <li>Memory: 32 GB 3733 MHz LPDDR4X</li> <li>Graphics: Intel Iris Plus Graphics 1536 MB</li> </ul> <h2>Required non-standard hardware</h2> <ul> <li>None</li> </ul> <h2>Software dependencies</h2> <ul> <li>Jupyterlab (4.0.8)</li> <li>Notebook (7.0.6)</li> <li>Programming languages used: Python (3.11.7)</li> <li>Python packages used: numpy (1.25.2), pandas (2.1.4), matplotlib (3.8.0), os (comes with Python) scipy (1.11.4), gaiadr3-zeropoint (0.0.4) https://gitlab.com/icc-ub/public/gaiadr3_zeropoint), astroquery (0.4.6), pymc (5.6.1), corner (2.2.2), arviz (0.16.0), pytensor (2.12.3), lmfit (1.2.2), powerlaw (1.5), rpy2 (3.5.16), seaborn (0.12.2), consistencytest (0.0.2)</li> </ul> <h2>Instructions</h2> <ul> <li>The Anaconda conda environment is given should this be needed</li> <li>All Jupyter Notebooks are ready-made to produce the raw data, intermediate and end data products</li> <li>Gaia raw data is downloaded in the Jupyter Notebook "R136_runaway_candidates.ipynb"</li> <li>Data from the literature is given in the subdirectory /tables/ or /input_files/</li> <li>Input images and files are given in the subdirectory /input_files/</li> <li>Intermediate and end data products are given in /output_files/</li> <li>Figures in the paper are produced in the Jupyter Notebooks in the subdirectory /figures/ and stored in the subdirectory /figures/figures_paper/</li> </ul> <h2>Expected Output</h2> <ul> <li>Jupyter Notebooks can be executed by "Run" -> "Run All Cells"</li> <li>The Jupyter Notebook show the expected output in their respective cell</li> <li>Expected runtime are given at the top of each Jupyter Notebook</li> <li>The Jupyter Notebook which takes the longest "R136_runaway_search.ipynb" takes 7-8 hours for the entire dataset</li> <li>A small dataset has been given in this Jupyter Notebook as a proof-of-concept</li> </ul> <h2>Instructions for use</h2> <ul> <li>Jupyter Notebooks can be executed by "Run" -> "Run All Cells"</li> </ul> <h2>Figures</h2> <ul> <li>Figures can be reproduced from the /figures/ folder.</li> <li>All material and data used are available either in the Raw Data or in the Intermediate Data</li> <li>The figures shown in the paper will be saved in ./figures/figures_paper/ folder.</li> </ul> <pre> </pre>

opencc-by-4.0Oct 2024View details →

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Dataset from the paper: "RR Lyrae From Binary Evolution: Abundant, Young and Metal-Rich"

The two files contain the Tables presented in Appendix B of Bobrick & Iorio et al. (2024, MNRAS, 527, 12196–12218) (https://ui.adsabs.harvard.edu/abs/2024MNRAS.52712196B/abstract) in CSV format. # V3 updates - New columns added: GRRL, Gcomp, RRRL, Rcomp, and Teffcomp. These columns are not included in the published paper tables. - The columns G and BP_RP were previously described as the Gaia G magnitude of the RRL, but they actually represent the G magnitude and BP–RP color of the entire system. - The previous description of the columns was missing the PorbRRL entry. - A new file, TableB2_SingleMadeBinaryRRL_V3.csv, has been added to replace the previous version, which had mismatched columns and some empty fields. - The README now reports the format for both tables. # Tables There are two tables included: ## TableB1_BinaryMadeRRL_V3.csv This table contains the systems reported in Table B1 of the paper, with additional columns (marked with a +). ### Columns: - **Age**: Age of the system since the zero-age main sequence [Myr] - **GBin**: Galactic bin from the Galactic model (Table 1 in the paper)     - TD1: Thin Disc – Bin 1       - TD2: Thin Disc – Bin 2       - TD3: Thin Disc – Bin 3       - TD4: Thin Disc – Bin 4       - TD5: Thin Disc – Bin 5       - TD6: Thin Disc – Bin 6       - TD7: Thin Disc – Bin 7       - B: Bulge       - TKD: Thick Disc       - H: Halo   - **Mproj**: Progenitor ZAMS mass of the RRL [Msun] - **Mcomp**: Progenitor ZAMS mass of the RRL companion [Msun] - **Porb_init**: Initial orbital period [days] - **feh**: [Fe/H] metallicity - **MRRL**: RRL mass [Msun] - **McompRRL**: Mass of the RRL companion [Msun] - **PorbRRL**: Current orbital period [days] - **McRRL**: Core mass of the RRL [Msun] - **LRRL**: Bolometric luminosity of the RRL [Lsun] - **Teff**: Effective temperature of the RRL [K] - **G**: Gaia G-band magnitude of the system as a whole [mag] - **BP_RP**: Gaia BP–RP color of the system as a whole [mag] - **GRRL**: Gaia G-band magnitude of the RRL [mag] + - **Gcomp**: Gaia G-band magnitude of the companion [mag] + - **RRRL**: Radius of the RRL [Rsun] + - **Rcomp**: Radius of the companion [Rsun] + - **Teffcomp**: Effective temperature of the companion [K] + --- ## TableB2_SingleMadeBinaryRRL_V3.csv This table contains the systems reported in Table B2 of the paper, with additional columns (marked with a +). ### Columns: - **Age**: Age of the system since the zero-age main sequence [Myr] - **GBin**: Galactic bin from the Galactic model (Table 1 in the paper)     - TD1: Thin Disc – Bin 1       - TD2: Thin Disc – Bin 2       - TD3: Thin Disc – Bin 3       - TD4: Thin Disc – Bin 4       - TD5: Thin Disc – Bin 5       - TD6: Thin Disc – Bin 6       - TD7: Thin Disc – Bin 7       - B: Bulge       - TKD: Thick Disc       - H: Halo   - **Mproj**: Progenitor ZAMS mass of the RRL [Msun] - **MRRL**: RRL mass [Msun] - **McompRRL**: Mass of the RRL companion [Msun] - **PorbRRL**: Current orbital period [days] - **feh**: [Fe/H] metallicity - **McRRL**: Core mass of the RRL [Msun] - **LRRL**: Bolometric luminosity of the RRL [Lsun] - **Teff**: Effective temperature of the RRL [K]

opencc-by-4.0Mar 2023View details →

zenodo44/100

The Young Supernova Experiment Data Release 1 (YSE DR1) Light Curves

This is the official Zenodo data release of the Young Supernova Experiment Public Data Release 1 (YSE DR1) light curves associated with the paper, "The Young Supernova Experiment Data Release 1 (YSE DR1): Light Curves and Photometric Classification of 1975 Supernovae". YSE DR1 is comprised of processed multi-color Pan-STARRS1 (PS1)-griz and Zwicky Transient Facility (ZTF)-gr photometry lightcurve files in the SNANA data format of 1975 transients with host galaxy associations, redshifts, spectroscopic/photometric classifications, and additional data products from November 24th, 2019 to December 20, 2021. See Aleo et al. (2022) for details.  "yse_dr1_zenodo.tar.gz" -- All lightcurve data with no cut on signal to noise (S/N). "yse_dr1_zenodo_snr_geq_4.tar.gz" -- All lightcurve data with S/N >= 4. This can be used to recreate the analysis in Aleo et al. (2022). "parsnip_results_for_ysedr1_table_A1_full_for_online" -- The full version of Table~C2 in Aleo et al. (2022). The full ParSNIP (tertiary classification) results for YSE DR1. NOTE: An example tutorial on how to download the YSE DR1 data (full sample, spec sample, phot sample), grab metadata, and recreate a plot from the paper can be found <a href="https://github.com/patrickaleo/ysedr1_data_demos/blob/main/ysedr1_quick_tutorial.ipynb">on Github</a>.

opencc-by-4.0Nov 2022View details →

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JWST convolutions for a modular set of synthetic SEDs for young stellar objects (Robitaille, 2017)

This is a companion to the models released alongside the publication: A modular set of synthetic spectral energy distributions for young stellar objects, Robitaille (2017) The models are convolved with JWST filters taken from the SVO’s filter profile service. Some models with rotationally flattened envelopes (i.e. geometries with u) not present in the original model grid have since been completed; their convolved SEDs are included here. Files unzip to {geometry}/convolved/JWST/{SVO_filtername}.fits. This is a subset of the information included in https://doi.org/10.5281/zenodo.8114592.

opencc-by-4.0Dec 2022View details →

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Dataset and codebook for the article by Gaume J, Bertholet N, McCambridge J, et al. Effect of a Novel Brief Motivational Intervention for Alcohol-Intoxicated Young Adults in the Emergency Department: A Randomized Clinical Trial. JAMA Netw Open. 2022;5(10):e2237563. doi: 10.1001/jamanetworkopen.2022.37563

Dataset and codebook for the article Gaume J, Bertholet N, McCambridge J, et al. Effect of a Novel Brief Motivational Intervention for Alcohol-Intoxicated Young Adults in the Emergency Department: A Randomized Clinical Trial. JAMA Netw Open. 2022;5(10):e2237563. doi: <a href="http://jamanetwork.com/article.aspx?doi=10.1001/jamanetworkopen.2022.37563">10.1001/jamanetworkopen.2022.37563</a> The dataset contains all data needed to reproduce the results in the above cited article. Variable description and labels can be found in the codebook. Please refer to the published article and supplemental online content for further information about the data and the study procedures.

opencc-by-4.0Jan 2023View details →

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Data underlying the publication: "Effects of hatching system on chick quality, welfare and health of young breeder flock offspring"

The aim of the current study was to evaluate effects of two alternative hatching systems (hatchery-feeding and on-farm hatching) compared to conventional hatching systems with respect to chick quality, welfare and health of a young breeder flock. To study the effect of treatments on the competence of the humoral immune response, blood titres after a live attenuated NCD vaccination was assessed. To study differences in disease resilience, the susceptibility to develop tracheal inflammation after infection with a life attenuated infectious bronchitis vaccine virus was assessed by trachea lesion scoring and expression of genes related to epithelial integrity and inflammatory responses.

opencc-by-4.0Dec 2022View details →

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Dataset paper "N2 use in perennial swards intercropped with young poplars, clone I-214 (Populus × euramericana (Dode) Guinier) in the Mediterranean area under rainfed conditions"

These files contain the data produced within a 2-yr field experiment conducted in Pisa, Central Italy, to assess N dynamics in a young silvopastoral system (i.e., where two forage crops, sulla and ryegrass, were grown in intercropping with an alley row of poplar trees) compared to a pure pastoral system (i.e., where teh afore-mentioned forage crops were grown without trees). Specifically: - "15N_poplars_Ntransfer.csv" contains the data on N2-transfer from sulla to poplar trees - "Averaged cumulate values.csv" contains the data on aboveground biomass, N yield and N fixed of the forage crops, cumulated over the two years of experimentation; - "Poplars growth.csv" contains the data on plant height and trunk diameters ( at the foot and at 130 cm) collected on poplar plants at different dates (at plantation time and at the end of each experimental year); - "Root_N_Nfix.csv" contains the data on delta 15N, %N derived from fixation and N concentration in poplar tree roots sampled at the end of each experimental year; - "Seasonal Data_AGB_N_Nfix.csv" contains the data on aboveground biomass, N yield, delta 15N, %N derived from fixation and N concentration and N fixed of forage species observed at each sampling time (mowing date) within the two experimental years; - "Soil_N_only SIPAST.csv" contains the data of soil total Nitrogen and nitric Nitrogen observed only in the silvopastoral system at different positions on the field; -"Soil_N.csv" contains the data of soil total Nitrogen and nitric Nitrogen observed in the two cropping systems at different positions on the field.

opencc-by-4.0May 2023View details →

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Introducing MADYS: the Manifold Age Determination for Young Stars | Full model database

Complete database of stellar and substellar evolutionary models employed in the Manifold Age Determination for Young Stars (MADYS). For a description of the tool, please refer to the main paper. For a detailed description of individual files, it is advised to use the ad-hoc functions provided within the published package. Bibliographic reference: arxiv:2206.02446 GitHub repository: https://github.com/vsquicciarini/madys

opencc-by-4.0Jun 2022View details →

edi44/100

Young forests and fire: Using lidar-imagery fusion to explore fuels and burn severity in a subalpine forest reburn, Grand Teton National Park, Wyoming.

Anticipating fire behavior as climate change and fire activity accelerate is an increasingly pressing management challenge in fire-prone landscapes. In subalpine forests adapted to infrequent, stand-replacing fire, self-limitation of burn severity in short-interval fire is incompletely understood. Spatially explicit fuels data can support assessments of landscape-scale fire risk and fuels feedbacks on burn severity. For a about 1,450 km2 largely forested landscape in the US Northern Rocky Mountains, we used airborne lidar and imagery to predict and map canopy and surface fuels. In a fire that burned mature ( greater than 125-year-old) and also reburned young (~30-year-old) subalpine forest, we then asked: (1) How do pre-fire fuels and burn severity compare between young and mature forests that burned under similar fire weather conditions? (2) How well do pre-fire fuels and forest structure predict burn severity under extreme versus moderate fire weather? Lidar-imagery fusion predicted fuel characteristics with high accuracy across forest and shrubland vegetation (R2 from 0.65-0.95). Young post-fire forests had abundant, densely packed canopy fuels, and both young and mature forests had similar canopy fuel loads and coarse wood biomass. Under similar weather conditions, young and mature forests burned at similar severity. Overall, fuels were weak predictors of burn severity and, surprisingly, better predicted severity under extreme (R2LMM(m) = 0.27) rather than moderate (R2LMM(m) = 0.15) fire weather. Our findings are relevant for subalpine landscapes increasingly dominated by young lodgepole pine (Pinus contorta var. latifolia) forests vulnerable to short-interval fire and provide a benchmark to assess how fuels influence burn severity in future fires. Fire managers should continually reassess fuels and update expectations about fire behavior as landscapes change. Although recovering post-fire forests can limit fire spread and severity for a period of time, our resu

openCC (other)Feb 2022View details →

edi44/100

Leaf miners (Acrocercops species) larvae performance on young leaves of Manilkara bidentata

Manilkara bidentata is attacked by a specialist leaf miner(Acrocercops sp.(microlepidoptera:gracillariidae).Â More than one larvae can be found per mine within a leaf. The purposes of this study is to determine the effect of group feeding for this species since larval density within a leaf vary from 1-14 larvae per mine (Angulo-Sandoval personal observation). This variation allows to determine the effect of larval density on the amount of leaf damage, larval survivorship and larval growth. Leaves with mines varied in area from 10 to 224 cm2 (mean = 85.7 cm2) and the number of larvae per leaf ranged from 1 to 14 (mean = 5.7 larvae/mine). There was no relation between the size of the leaf and the number of larvae found within the leaf. There was a relationship between the number of larvae in a blotch mine and amount of damaged tissue. Herbivory increases from approximately 10% for one larva per leaf to 50% in leaves with eight larvae. In leaves with more than eight larvae, herbivory decreased . There was an effect of initial larval density on percent larval survivorship.Survivorship was high (70%) in leaves with one to three larvae. In intermediate density (4-8 larvae per mine) 50% of larvae survived and in high densities (9 - 14 larvae per mine), only 22% survived. Even though there was a decrease in larvae number in high densities, the final number of larvae remained higher, compared with low or intermediate densities. A linear relationship was found between number of larvae present in the leaf and the time it took the larvae to complete their larval stage. Larvae in high density (> 9 larvae per mine) tended to develop faster (3-8 days) than larvae in low densities (5 - 10 days). Larval size upon emergence ranged from 8 to 12 mm (mean= 9.27) but there was no effect of larval density on the final larval size. The total number of surviving larvae varied according to the initial larval number and was highest in mines with eight individuals of which on average 4.7 su

openCC (other)Nov 2023View details →

zenodo40/100

Dataset from "Collection of kinematic and kinetic data of young & adult, male & female subjects performing periodic and transient gait tasks for gait pattern recognition"

Written by: Paolo Mistretta Contact information: paolo.mistretta@phd.unipd.it Date: 24/01/2020 This document contains supplementary material for the article “Collection of kinematic and kinetic data of young & adult, male & female subjects performing periodic and transient gait tasks for gait pattern recognition” (Authors: Paolo Mistretta, Cecilia Marchesini, Andrea Volpini, Luca Tagliapietra, Tommaso Sciarra, Aldo Lazich, Salvatore Forte, Mauro De Matteis, Emanuele Menegatti and Nicola Petrone) presented at the 13th conference of the International Sports Engineering Association, Tokyo, Japan, 22-25 June 2020. Data are contained in the file: “database_ISEA2020.mat”

opencc-by-4.0Jan 2020View details →

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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.

allen-brain-atlas

neuroscienceopenDocumentation, web resources, and API references are available online.

Last verified 2026-04-30Open record

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.

abode-home-cage

behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.

Last verified 2026-04-30Open record

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.

dandi-nwb

electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.

Last verified 2026-04-30Open record

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.

ibl

behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.

Last verified 2026-04-29Open record

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.

openneuro

neuroscienceopenPublished datasets are available on demand over the internet.

Last verified 2026-04-29Open record