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43 results for “Personal research”

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zenodo44/100

Extensive crowdsourced dataset of in-situ evaluated binaural soundscapes of private dwellings containing subjective sound-related and situational ratings along with person factors to study time-varying influences on sound perception — research data

<p><strong>Abstract:</strong></p> <p>The soundscape approach highlights the role of situational factors in sound evaluations; however, only a few studies have applied a multi‐domain approach including sound‐related, person‐related, and time‐varying situational variables. Therefore, we conducted a study based on the Experience Sampling Method to measure the relative contribution of a broad range of potentially relevant acoustic and non‐auditory variables in predicting indoor soundscape evaluations. Here we present the comprehensive dataset for which 105 participants reported temporally (rather) stable trait variables such as noise sensitivity, trait affect, and quality of life. They rated 6.594 situations regarding the soundscape standard dimensions, perceived loudness, and the saliency of its sound components and evaluated situational variables such as state affect, perceived control, activity, and location. To complement these subject‐centered data, we additionally crowdsourced object‐centered data by having participants make binaural measurements of each indoor soundscape at their homes using a low‐(self‐)noise recorder. These recordings were used to compute (psycho‐)acoustical indices such as the energetically averaged loudness level, the A‐weighted energetically averaged equivalent continuous sound pressure level, and the A‐weighted five‐percent exceedance level. This complex hierarchical data can be used to investigate time‐varying non‐auditory influences on sound perception and to develop soundscape indicators based on the binaural recordings to predict soundscape evaluations.</p> <p><strong>Content:</strong></p> <ul> <li><a href="https://zenodo.org/record/7858848/files/01%20StudyDescription.pdf">01 StudyDescription.pdf </a> <ul> <li>Description of the field study.</li> <li>Information about the methods and materials used.</li> </ul> </li> <li><a href="https://zenodo.org/record/7858848/files/02%20Dataset.csv">02 Dataset.csv</a>&nbsp; <ul> <li>The dataset, consisting of 93 variables describing 6594 observations taken by 105 participants.</li> </ul> </li> <li><a href="https://zenodo.org/record/7858848/files/03%20VariableDescriptions_EnglishPersonQuestionnaire.pdf">03 VariableDescriptions_EnglishPersonQuestionnaire.pdf</a> <ul> <li>Descriptions of all variables, their measurement scale, scale ranges and levels.</li> <li>Questions and task descriptions of the Experience Sampling Method questionnaire in German language with an English translation.</li> <li>English translations of questions asked in the person questionnaire.</li> </ul> </li> <li><a href="https://zenodo.org/record/7858848/files/04%20ESM-Questionnaire.pdf">04 ESM-Questionnaire.pdf</a>&nbsp; <ul> <li>Screenshots of the original Experience Sampling Method questionnaire with English translations.</li> </ul> </li> <li><a href="https://zenodo.org/record/7858848/files/05%20PersonQuestionnaire_OriginalGermanVersion.pdf">05 PersonQuestionnaire_OriginalGermanVersion.pdf</a>&nbsp; <ul> <li>Original version of the person questionnaire in German language.</li> </ul> </li> <li><a href="https://zenodo.org/record/7858848/files/06%20HelpTexts.pdf">06 HelpTexts.pdf</a>&nbsp; <ul> <li>Descriptions of the study task.</li> <li>Explanations of the scales used in the questionnaire.</li> <li>Explanations of the sound categories and the soundscape composition.</li> <li>Explanation of the operation of the recording device.</li> </ul> </li> <li><a href="https://zenodo.org/record/7858848/files/AcousticFeatures_README.md">AcousticFeatures_README.md</a>&nbsp; <a href="https://zenodo.org/api/files/3d784540-c0f4-412f-8742-df1db6f5401d/TimeSeries_and_Spectrograms_README.md?versionId=9291496c-d2c6-4151-96f1-a2ad99e1a540"> </a> <ul> <li>Descriptions of the structure of the AcousticFeatures_xxx.csv and .zip files.</li> <li>Analyis settings used in Artemis Suite to generate the acoustic features.</li> </ul> </li> <li><a href="https://zenodo.org/record/7858848/files/AcousticFeatures_SingleValues.csv">AcousticFeatures_SingleValues.csv</a> <ul> <li>All acoustic features, aggregated to single values per feature, recording, and channel.</li> </ul> </li> <li><a href="https://zenodo.org/record/7858848/files/AcousticFeatures_Spectra.csv">AcousticFeatures_Spectra.csv</a> <ul> <li>Time-averaged 1/3 octave spectra of each channel of each recording, A-weichted and un-weighted.</li> </ul> </li> <li><a href="https://zenodo.org/record/7858848/files/AcousticFeatures_Spectrograms.zip">AcousticFeatures_Spectrograms.zip</a> <ul> <li>13188 .csv files with un-weighted spetrograms of each channel of each recording.</li> </ul> </li> <li><a href="https://zenodo.org/record/7858848/files/AcousticFeatures_TimeSeries.zip">AcousticFeatures_TimeSeries.zip</a> <ul> <li>A .csv file containing LAeq and LZeq time series of each channel of each recording.</li> </ul> </li> </ul> <p><strong>Publications refering to this dataset:</strong></p> <p>Vers&uuml;mer, Siegbert; Steffens, Jochen; Weinzierl, Stefan (currently under review): &quot;The role of loudness predictions, personal and situational factors in day-to-day loudness assessments of indoor soundscapes.&quot;</p> <p><strong>Funding:</strong></p> <p>This study was sponsored by the German Federal Ministry of Education and Research. &ldquo;FHprofUnt&rdquo; funding code: 13FH729IX6.&nbsp;</p> <p><strong>License: </strong></p> <p>CC 4.0 BY, <a href="https://creativecommons.org/licenses/by/4.0/legalcode">https://creativecommons.org/licenses/by/4.0/legalcode</a></p> <p><strong>Version history:</strong></p> <p>Details can be found in the <a href="https://zenodo.org/api/files/a15d6a91-1a35-4b5e-a7ec-da8a9bcbee2b/Changelog.md">Changelog.md</a> file.</p> <ul> <li>&nbsp;V.01.0. March 7, 2023: Initial publication. <a href="https://doi.org/10.5281/zenodo.7193938">https://doi.org/10.5281/zenodo.7193938</a></li> <li>&nbsp;V.01.1. April 25, 2023. <a href="https://doi.org/10.5281/zenodo.7858848">https://doi.org/10.5281/zenodo.7858848</a></li> </ul>

opencc-by-4.0Mar 2023View details →
zenodo40/100

"I made the recording because Iam an amateur recording engineer and also work for a radio station. At the time, Iwas researching for a religious programme, for the radio and by pure chance and good luck, Iwas in the centre of York at the time the street preacher was there. Iam building up a personal library of 'ambient sounds' to use on various radio shows as 'sound effects'. The recording was taken outside St Helen's Church in St Helen's Square, in the centre of York. There was a fairly large crowd walking about, shopping. It was a Saturday. Some people were standing and listening to the man, some were mocking him, others didn't even notice. It was a sunny day, with a slight wind. St Helen's square is a large 'meeting place' for people with seats, flowers and usually musicians. I live in the centre of York and hear a lot of very interesting sounds there, everything from busking musicians, to many foreign languages, church bells, animals and much more. Ireally liked the recording of the preacher as it is quite clear that he passionately believes what he is saying. He was unaware that Iwas recording him. Iwish Ihad captured his whole sermon. He, and other members of his church visit the centre of York quite often, and preach there. Idon't know the name of his church." [Jools/vedas]19 in Collecting Sounds. Online Sharing of Field Recordings as Cultural Practice

"I made the recording because Iam an amateur recording engineer and also work for a radio station. At the time, Iwas researching for a religious programme, for the radio and by pure chance and good luck, Iwas in the centre of York at the time the street preacher was there. Iam building up a personal library of 'ambient sounds' to use on various radio shows as 'sound effects'. The recording was taken outside St Helen's Church in St Helen's Square, in the centre of York. There was a fairly large crowd walking about, shopping. It was a Saturday. Some people were standing and listening to the man, some were mocking him, others didn't even notice. It was a sunny day, with a slight wind. St Helen's square is a large 'meeting place' for people with seats, flowers and usually musicians. I live in the centre of York and hear a lot of very interesting sounds there, everything from busking musicians, to many foreign languages, church bells, animals and much more. Ireally liked the recording of the preacher as it is quite clear that he passionately believes what he is saying. He was unaware that Iwas recording him. Iwish Ihad captured his whole sermon. He, and other members of his church visit the centre of York quite often, and preach there. Idon't know the name of his church." [Jools/vedas]19

opencc-by-4.0Dec 2019View details →
zenodo36/100

Psychometric Instruments in Software Engineering Research on Personality: Status Quo After Fifty Years

<p>Step files.</p>

opencc-by-4.0Apr 2022View details →
ClinicalTrials.gov36/100

Personalized Research on Diet in Ulcerative Colitis and Crohn's Disease

ClinicalTrials.gov study NCT03301311. IPD Sharing: YES. Countries: 1. Publications: 1.

controlledIPD-YESFeb 2026View details →
dryad32/100

Micro-personality traits and their implications for behavioural and movement ecology research

<ol> <li>Many animal personality traits have implicit movement‐based definitions, and can directly or indirectly influence ecological and evolutionary processes. It has therefore been proposed that animal movement studies could benefit from acknowledging and studying consistent inter-individual differences (personality), and, conversely, animal personality studies could adopt a more quantitative representation of movement patterns.</li> <li>Using high-resolution tracking data of three-spined stickleback fish (<i>Gasterosteus</i> <i>aculeatus</i>)<i>, </i>we examined the repeatability of four movement parameters commonly used in the analysis of discrete time-series movement data (time stationary, step-length, turning angle, burst frequency), and four behavioural parameters commonly used in animal personality studies (distance travelled, space use, time in free water, time near objects).</li> <li>Fish showed repeatable inter-individual differences in both movement and behavioural parameters when observed in a simple environment with two, three, or five shelters present. Moreover, individuals that spend less time stationary, take more direct paths and less commonly burst travel (movement parameters), were found to travel farther, explored more of the tank, and spent more time in open water (behavioural parameters).</li> <li>Our case-study indicates that the two approaches – quantifying movement and behavioural parameters – are broadly equivalent, and we suggest that movement parameters can be viewed as "micro-personality" traits that give rise to broad-scale consistent inter-individual differences in behaviour. This finding has implications for both personality and movement ecology research areas. For example, the study of movement parameters may <span>provide a robust way to analyse</span><span> individual </span><span>personalities in species that are difficult or impossible to study using standardised behavioural assays.</span> </li> </ol>

opencc-zeroJan 2022View details →
ClinicalTrials.gov32/100

The Manitoba Personalized Lifestyle Research (TMPLR) Study

ClinicalTrials.gov study NCT03674957. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Clinical Research Study to Evaluate Selegiline in the Treatment of Borderline Personality Disorder

ClinicalTrials.gov study NCT01912391. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

BIRN (Biomedical Informatics Research Network) Resources Facilitate the Personalization of Malignant Brain Tumor

ClinicalTrials.gov study NCT01124461. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Research and Engagement on Substance Use: Harnessing Awareness and Personalized Education (RESHAPE) to Improve Well-being and Self-efficacy

ClinicalTrials.gov study NCT06952491. IPD Sharing: YES. Countries: 1. Publications: 2.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov32/100

Personalized Genomic Research

ClinicalTrials.gov study NCT01294345. IPD Sharing: Not stated. Countries: 1. Publications: 3.

restrictedIPD-UNDECIDEDFeb 2026View details →
dryad32/100

Micro-personality traits and their implications for behavioural and movement ecology research

Open the record for dataset details and reuse information.

publicJan 2022View details →
zenodo28/100

Big Five Personality Traits and Online Learning: A Meta-analysis of 40 Years' Research

Open the record for dataset details and reuse information.

opencc-by-4.0Oct 2024View details →
zenodo28/100

Figure 10 from: Jolivet P (2015) Together with 30 years of Symposia on Chrysomelidae! Memories and personal reflections on what we know more about leaf beetles. In: Jolivet P, Santiago-Blay J, Schmitt M (Eds) Research on Chrysomelidae 5. ZooKeys 547: 35–61. https://doi.org/10.3897/zookeys.547.7181

Figure 10 - Sixth International Symposium on the Chrysomelidae, Bonn (Germany), 7 May, 2004, group photo in the great hall of the Zoologisches Forschungsmuseum Alexander Koenig, Bonn (from): Eva Sprecher-Übersax, David Furth, Jaap Winkelman, Horst Kippenberg, Wolfram Freund, Helmut Bolz, Jürgen Gross, Thomas Wagner, Susanne Düngelhoef, Lasse Hubweber, Maurizio Biondi, Michael Schmitt, Károly Vig, Jolanta Swietojanska, Lech Borowiec, Matthias Schöller, Mauro Daccordi, Elisabeth Geiser, Gudrun Fuss, Ron Beenen, Fredric Vencl, Pierre Jolivet (photo: M. Jolivet).

opencc-by-4.0Dec 2015View details →
zenodo28/100

Figure 4 from: Jolivet P (2015) Together with 30 years of Symposia on Chrysomelidae! Memories and personal reflections on what we know more about leaf beetles. In: Jolivet P, Santiago-Blay J, Schmitt M (Eds) Research on Chrysomelidae 5. ZooKeys 547: 35–61. https://doi.org/10.3897/zookeys.547.7181

Figure 4 - Group photo of the First International Symposium on the Chrysomelidae, Hamburg 1984 (from left): Arthur J. Gilbert, Ingolf Askevold, David Furth, Eric Smith, Pierre Jolivet, Niilo Virkki, Michael Schmitt, Hans Kroker (hidden), Carmen Segarra, Klaus Hemmann, Krishna K. Verma, Eduard Petitpierre, Hans Silfverberg, Walter Steinhausen, J. Watt, Horst Kippenberg, Felix Breden, Gustav Adolf Lohse, Brian Selman, Dieter Erber. From Chrysomela Newsletter 12 (1984).

opencc-by-4.0Dec 2015View details →
zenodo28/100

Figure 3 from: Jolivet P (2015) Together with 30 years of Symposia on Chrysomelidae! Memories and personal reflections on what we know more about leaf beetles. In: Jolivet P, Santiago-Blay J, Schmitt M (Eds) Research on Chrysomelidae 5. ZooKeys 547: 35–61. https://doi.org/10.3897/zookeys.547.7181

Figure 3 - "The First Chrysomela Photo", showing the participants of the "First Internanional Alticinae Workers' Symposium", Munich, August 1980: Walter Steinhausen, Manfred Doeberl, Bohumila Bechyné, Gerhard Scherer, Carmen Segarra, David Furth, Carlo Leonardi, Terry Seeno, Mauro Daccordi, Serge Doguet, Carmelèn Petitpierre, Eduard Petitpierre. From Chrysomela Newsletter 38/39 (2000, photo probably by Eric Smith).

opencc-by-4.0Dec 2015View details →
zenodo28/100

Figure 18 from: Jolivet P (2015) Together with 30 years of Symposia on Chrysomelidae! Memories and personal reflections on what we know more about leaf beetles. In: Jolivet P, Santiago-Blay J, Schmitt M (Eds) Research on Chrysomelidae 5. ZooKeys 547: 35–61. https://doi.org/10.3897/zookeys.547.7181

Figure 18 - "The Books" on Chrysomelidae, except the proceedings volumes of the International Symposia: Jolivet P, Petitpierre E, Hsiao TH (Eds.) 1988, Jolivet PH, Cox ML, Petitpierre E (Eds) 1994, Jolivet JHA, Cox ML (Eds.) 1996 (3 vols.), Cox ML (Ed) 1999, Jolivet P, Santiago-Blay JA, Schmitt M (Eds.) 2004.

opencc-by-4.0Dec 2015View details →
zenodo28/100

Figure 17 from: Jolivet P (2015) Together with 30 years of Symposia on Chrysomelidae! Memories and personal reflections on what we know more about leaf beetles. In: Jolivet P, Santiago-Blay J, Schmitt M (Eds) Research on Chrysomelidae 5. ZooKeys 547: 35–61. https://doi.org/10.3897/zookeys.547.7181

Figure 17 - A Korean dinner, after the 8th International Symposium on the Chrysomelidae, Daegu (South Korea), 23 August, 2012 (from left): Si Qin Ge, Jun-zhi Cui, Nicole Kalberer-Simmen, Antje Burse, Michael Schmitt, Choru Shin, Haruki Suenaga, Mai Bing, Jong Eun Lee, David Furth (photo: M. Schmitt).

opencc-by-4.0Dec 2015View details →
zenodo28/100

Figure 15 from: Jolivet P (2015) Together with 30 years of Symposia on Chrysomelidae! Memories and personal reflections on what we know more about leaf beetles. In: Jolivet P, Santiago-Blay J, Schmitt M (Eds) Research on Chrysomelidae 5. ZooKeys 547: 35–61. https://doi.org/10.3897/zookeys.547.7181

Figure 15 - The First European Symposium on the Chrysomelidae, Budapest (Hungary), 23 August, 2010: Yoko Matsumura (photo: M. Schmitt).

opencc-by-4.0Dec 2015View details →
zenodo28/100

Figure 7 from: Jolivet P (2015) Together with 30 years of Symposia on Chrysomelidae! Memories and personal reflections on what we know more about leaf beetles. In: Jolivet P, Santiago-Blay J, Schmitt M (Eds) Research on Chrysomelidae 5. ZooKeys 547: 35–61. https://doi.org/10.3897/zookeys.547.7181

Figure 7 - Group photo of the Third International Symposium on the Chrysomelidae, Beijing, 4 July, 1992, in front of the Academia Sinica (from left): Shu-yong Wang, Peter Verdyck, Shizuo Fujiyama, Eduard Petitpierre, Hans Silfverberg, Lech Borowiec, David Furth, Pei-yu Yu, Kunio Suzuki, Ting Hsiao, Michael Schmitt, Pierre Jolivet, Jacques Pasteels, Al Samuelson (photo: M. Schmitt).

opencc-by-4.0Dec 2015View details →
zenodo28/100

Figure 14 from: Jolivet P (2015) Together with 30 years of Symposia on Chrysomelidae! Memories and personal reflections on what we know more about leaf beetles. In: Jolivet P, Santiago-Blay J, Schmitt M (Eds) Research on Chrysomelidae 5. ZooKeys 547: 35–61. https://doi.org/10.3897/zookeys.547.7181

Figure 14 - The First European Symposium on the Chrysomelidae, Budapest (Hungary), 23 August, 2010: Eduard Petitpierre, Carmelèn Petitpierre, Pierre Jolivet, Madeleine Jolivet (photo: M. Schmitt).

opencc-by-4.0Dec 2015View details →

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Allen Brain Atlas

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allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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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

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Your academic CV and NIH biosketch

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