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707 results for “qualitative”
Study Data: Obtaining Semi-Formal Models from Qualitative Data: From Interviews into BPMN Models in User-Centered Design Processes
<p>This dataset (Data.zip) contains the raw data of a user study on the investigation of transforming think aloud interviews into BPMN models. All information on how to use the data are provide in the SPSS files and as a readme file. This transformation is executed following a manual additionally provided in Documents.zip. For the training phase, a website was used provided in Website.zip including Screenshots for simpler re-use. Further information are also included as readme file in the zip container.</p> <p>Main research question answered is in how far the manual reduces interpretation and variance in the created models. </p>
Inputs and results of "A qualitative and quantitative analysis of open citations to retracted articles: the Wakefield 1998 et al.'s case"
<p>This repository contains the datasets and visualizations generated in our work: <strong>"A qualitative and quantitative analysis of open citations to retracted articles: the Wakefield 1998 et al.’s case"</strong>.</p> <p><strong>Note:</strong> the data are all contained inside the <strong><em>data.zip</em> </strong>file. You need to unzip the container to get access to all the files and directories listed below.</p> <p>The data (citations) gathered accompanied by their annotated characteristics are stored in <strong><em>data/</em>:</strong></p> <ul> <li><em><strong>"cits_features.csv": </strong></em>a dataset containing all the entities (rows in the CSV) which have cited the Wakefield et al. retracted article, and a set of features characterizing each citing entity (columns in the CSV). The features included are: DOI ("doi"), year of publication ("year"), the title ("title"), the venue identifier ("source_id"), the title of the venue ("source_title"), yes/no value in case the entity is retracted as well ("retracted"), the subject area ("area"), the subject category ("category"), the sections of the in-text citations ("intext_citation.section"), the value of the reference pointer ("intext_citation.pointer"), the in-text citation function ("intext_citation.intent"), the in-text citation perceived sentiment ("intext_citation.sentiment"), and a yes/no value to denote whether the in-text citation context mentions the retraction of the cited entity ("intext_citation.section.ret_mention").<br> <strong>Note: </strong>this dataset is licensed under a <a href="https://creativecommons.org/publicdomain/zero/1.0/legalcode">Creative Commons public domain dedication (CC0)</a>.</li> <li><em><strong>"cits_text.csv": </strong>this dataset stores the abstract ("abstract") and the in-text citations context ("intext_citation.context") </em>for each citing entity identified using the DOI value ("doi").<br> <strong>Note: </strong>the data keep their original license (the one provided by their publisher). This dataset is provided in order to favor the reproducibility of the results obtained in our work.</li> </ul> <p><strong>Topic modeling</strong></p> <p>We run a topic modeling analysis on the textual features gathered (i.e. abstracts and citation contexts). The results are stored inside the <em><strong>topic_modeling/</strong></em> directory. The topic modeling has been done using MITAO, a tool for mashing up automatic text analysis tools and creating a completely customizable visual workflow [1]. The topic modeling results for each textual feature are separated into two different folders, <em><strong>abstract/</strong></em> for the abstracts, and <em><strong>intext_cit/</strong></em> for the in-text citation contexts. Both the directories contain the datasets and visualizations generated using MITAO. </p> <p> </p> <p><strong>References</strong></p> <p>[1] Ferri, P., Heibi, I., Pareschi, L., & Peroni, S. (2020). MITAO: A User Friendly and Modular Software for Topic Modelling [JD]. PuntOorg International Journal, 5(2), 135–149. <a href="https://doi.org/10.19245/25.05.pij.5.2.3">https://doi.org/10.19245/25.05.pij.5.2.3</a></p>
Descriptive data from 265 Quantified Self Show&Tell videos - Qualitative dataset
<p>Descriptive data collected on 265 videos published on the Show&Tell projects archive of the Quantified Self website.</p> <p>Data include :</p> <ul> <li>The talk's characteristics : title, link, year and topic(s)</li> <li>Characteristics of the self-researcher(s) : origin, gender, number of participants in the project and if they are professional scientists</li> <li>Description of the data collection : items tracked, type and frequency of the collection, tools used</li> <li>The data exploration tools</li> <li>The duration of the project and if results where significant and given with insights</li> <li>Motivations for starting the project and reason to the end of it</li> <li>Additional comments</li> </ul>
Nuanced qualitative trait approaches reveal environmental filtering and phylogenetic constraints on lichen communities
<p>We propose that a qualitative trait approach based on more detailed nuanced traits may reveal previously overlooked patterns, especially when combined with phylogenetic perspectives. By sampling epiphytic lichens and using a functional approach based on nuanced qualitative traits, such as a much greater resolution over photobiont identity, type of cortex and chemical compounds, we evaluated the effects of environmental filtering and phylogenetic constraints on community assembly along natural succession of Atlantic rainforest. We found changes in taxonomic, functional and phylogenetic composition, structure and diversity. Functional traits such as photobiont genera, type of cortex, reproductive structures, propagule size and protection strategies showed strong responses to succession. Mature forests with a closed canopy impose strong environment filtering that is reflected in lichen species turnover, limiting diversity, but also holding different functional and phylogenetic composition. The use of a nuanced qualitative trait approach may overcome some of the limitations of using this type of traits and show the importance of often overlooked key lichen functional traits, including presence of carbon concentrating mechanisms in photobionts and cortex properties. Furthermore, this is the first study showing how patterns of phylogenetic assembly along forest succession structure lichen communities.</p>
Understanding Cultural Information Flow: A Qualitative study of a small social group
<p>This study uses qualitative data to explore closely adoption and onward transmission. Interview data were collected in relation to housework regarding the perceived behaviour of participants’ parents, of themselves, and of their (grand)children (N=14). Observational data was also collected from the members of one of the families for triangulation purposes. Following the six-phase process of thematic analysis, we extracted three main themes: individual learning, horizontal transmission, and vertical transmission. While only few instances were categorised as ‘individual learning’, the instances of horizontal and vertical transmission were numerous, and included the transmission of dichotomous traits. Thus, we explored why some cultural variants outcompete others and how certain learning and teaching mechanisms lead to increased stability and longevity. Vertical congruence was observed during the transmission of a dichotomous cultural trait: transmitters who acquired two variants of the same trait (one horizontally and one vertically) chose to vertically transmit onward to learners – i.e., their (grand)children – the variant which they had previously acquired vertically (i.e., from their own parents or grandparents), even if they exhibited both variants themselves. Horizontal congruence was observed even in sibling-to-sibling transmission, as the transmitter (older sibling) transmitted onward to the learner (younger sibling) the cultural variants which he/she had previously acquired from a peer (even if these were in competition with vertically acquired alternatives). Finally, we discuss the effects of the mother/wife-transmitter, who can weaken the effects of the vertical-congruence effect in the case of her spouse and enhance them in the case of their children.</p>
A Qualitative Analysis of Themes in Instant Messaging Communication of Software Developers
<p>Data available:</p> <ul> <li>Lists of public Gitter and Slack chat rooms selected for our study (see related DOI)</li> <li>Keywords used to search Gitter chat rooms</li> <li>Name, description and analysis of 87 Gitter cha rooms (downloaded with Gitter API - https://developer.gitter.im/docs/welcome)</li> <li>Name, description and analysis of 184 Slack cha rooms (found at Slofile - https://slofile.com/)</li> </ul>
Viral Communication: Trajectories of Experience through the Pandemic - A Qualitative Longitudinal Dataset
<p>Here, we present a dataset collected within a longitudinal interview study that has been conducted as part of a larger project (i.e., Viral Communication), exploring (changing) public attitudes and behaviours through the course of the pandemic in Germany. From a nationally representative survey, forty participants were purposively sampled on the basis of gender, age and socioeconomic status for the interviews. Each participant was interviewed three times within a 10 month time frame (between December 2020 and September 2021), with the exception of two dropouts from the study. The semi-structured interviews were developed to further elaborate on some of the responses in the survey instrument and to provide additional insights into topics and controversies surrounding the Covid-19 pandemic in Germany, such as information/misinformation, trust/distrust, compliance, vaccination, and conspiracy beliefs. </p> <ul> <li>Interviews Phase I (December 2020): 40 Interviews</li> <li>Interviews Phase II (April 2021): 38 Interviews</li> <li>Interviews Phase III (September 2021): 38 Interviews</li> </ul>
Inputs and results of "A quantitative and qualitative citation analysis to retracted articles in the humanities domain"
<p>This repository contains the datasets and visualizations generated in our work: <strong>"A quantitative and qualitative citation analysis to retracted articles in the humanities domain"</strong>.</p> <p><strong>Note:</strong> the data are all contained inside the <strong><em>data.zip</em> </strong>file. You need to unzip the container to get access to all the files and directories listed below.</p> <p>The data (citations) gathered accompanied by their annotated characteristics are stored in <strong><em>data/</em>:</strong></p> <ul> <li><em>cits.csv: </em>a dataset containing all the entities (rows in the CSV) which have cited a retracted article in the humanities domain. Each citing entity (row) is accompanied by a set of features (columns) that characterizes it.<br> <strong>Note: </strong>this dataset is licensed under a <a href="https://creativecommons.org/publicdomain/zero/1.0/legalcode">Creative Commons public domain dedication (CC0)</a>.</li> <li><em>content.csv: </em>a dataset containing the abstracts and the in-text citation contexts of all the citing entities gathered.<br> <strong>Note: </strong>the data keep their original license (the one provided by their publisher). This dataset is provided in order to favor the reproducibility of the results obtained in our work.</li> <li><em>excluded_hum_retractions.csv: </em>a list of the 12 humanities retracted articles with a humanities affinity score < 2, therefore excluded from the analysis. </li> </ul> <p> </p> <p><strong>Topic modeling</strong></p> <p>We run a topic modeling analysis on the textual features gathered (i.e. abstracts and citation contexts). The results are stored inside the <em><strong>topic_model/</strong></em> directory. The topic modeling has been done using MITAO, a tool for mashing up automatic text analysis tools and creating a completely customizable visual workflow [1]. The directory <em><strong>workflow/ </strong></em>contains the workflows used in MITAO. The topic modeling results for each textual feature are separated into two different folders, <em><strong>abstract/</strong></em> for the abstracts, and <em><strong>cits_context/</strong></em> for the in-text citation contexts. Both the directories contain the following directories/files: </p> <ul> <li> <p><em><strong>datasets_and_views/: </strong></em>the datasets and visualizations generated using MITAO. </p> </li> <li> <p><em><strong>ldamodel_corpus_dict/: </strong></em>it contains the dictionary, the LDA topic model, and the tokenized and vectorized corpus.</p> </li> <li><em><strong>rawdata/: </strong></em>the textual collection, metadata, and stopwords used as input in the workflow of MITAO</li> </ul> <p> </p> <p><strong>References</strong></p> <p>[1] Ferri, P., Heibi, I., Pareschi, L., & Peroni, S. (2020). MITAO: A User Friendly and Modular Software for Topic Modelling [JD]. PuntOorg International Journal, 5(2), 135–149. <a href="https://doi.org/10.19245/25.05.pij.5.2.3">https://doi.org/10.19245/25.05.pij.5.2.3</a></p> <p> </p> <ol> </ol>
Datasets for the "Qualitative and Quantitative Analyses of the Research on Renewable Energy based on Hydrogen" paper
<p>This dataset is used in preparing the "Qualitative and Quantitative Analyses of the Research on Renewable Energy based on Hydrogen" bibliometric study. Please cite the original paper whenever using this dataset. The data were collected from the SCOPUS database. The data were collected on February 5, 2022. The data collection procedures were completed in a single day, to minimize deviations caused by frequent database updates.</p>
Student Qualitative Data_FoodFactory-4-Us Cycles 1-4
<p>Qualitative data from students’ initial understanding, contributions and expectations of their competences and compare these with their final understanding of own contributions and competence development as participants of <a href="https://www.iseki-food.net/foodfactory-4-us">FoodFactory-4-Us</a> from 2018-2022.</p>
Anhänge zu: Stabilität und Instabilität im semantischen Wandel: Eine quantitative und qualitative Untersuchung auf dem Gebiet der Körperteile im Indogermanischen
<p>Anhänge zu dem Aufsatz: <strong>Stabilität und Instabilität im semantischen Wandel: Eine quantitative und qualitative Untersuchung auf dem Gebiet der Körperteile im Indogermanischen.</strong></p> <p>Die Wörter, die die Körperteile bezeichnen, stellen einen wichtigen Anteil jeder Sprache dar und gelten als relativ konservative Termini, oft aus älteren Sprachstufen ererbt. Nichtsdestotrotz sind diese Wörter unterschiedlich stabil je nach Sprache bzw. Sprachfamilie und je nach Körperteil. Der Zweck dieses Aufsatzes ist die Untersuchung dieses Sprachfeldes mit dem Ziel, die Tendenzen dieses Sprachwandels zu identifizieren und mögliche Erklärungen und Gründe dieses Phänomens zu finden. Dafür werden 50 Körperteile in 19 verschiedenen indogermanischen Sprachen aus 4 Sprachfamilien (Griechisch, Romanisch, Germanisch und Slawisch) verglichen und nach gewissen Kriterien systematisch analysiert. Für die Analyse wird eine Stabilitätsskala entwickelt, die neben den etymologischen Erklärungen eine effektive Untersuchung mit quantifizierbaren und statistischen Ergebnissen ermöglicht. </p>
The perception of facilitators and barriers to the use of e-health solutions in Poland: a qualitative study
<p>It is an extract of the transcripts of in-depth interviews used for the preparation of the paper titled "The perception of facilitators and barriers to the use of e-health solutions in Poland: a qualitative study"</p> <p>This research was funded in whole by the National Centre of Science, Poland within the project titled "Determinanty akceptacji i gotowości wykorzystania aplikacji e-zdrowia i technologii Zdrowia 4.0 w polskim społeczeństwie" (Grant No 2021/43/B/NZ7/02140). </p> <p>For the purpose of Open Access, the author has applied a CC-BY public copyright license to any Author Accepted Manuscript (AAM) version arising from this submission.</p>
Quantitative and qualitative description of plastic chemical additives releases
<p>The folder "HPLC-ESI-MS data on the characterization of mulching film additives.rar" available on Zenodo includes liquid chromatography-mass spectrometry raw data (as .txt files) of the analyses of the additivies carried out on two biodegradable mulch films (PBAT-based, coded as BIO). In particular, data regarding BIOIT-0 and BIOEL-0 refer to two pristine film samples, while those BIOIT-192 and BIOEL-192 are related to the sampe samples subjected to a 192-hour aging carried out by artificial solar light irradiation at 60 °C. Full scan and quantitative analysis runs are included. Furthermore, the experimental HPLC-ESI-MS runs carried out on varying concentration mixtures of standard compounds typically used as polymer additives has been included:</p> <p> DioxyBenzone (cas:131-53-3; formula: C14H12O4; MW:244,25 g/mol)<br> Triethyl O-Acetiylcitrate (cas:77-89-4; formula: C14H22O8; MW: 318,32 g/mol)<br> 2-Hydroxy-4-(octyloxy)benzophenone (cas: 1843-05-6; formula: C21H26O3; MW: 326,43 g/mol)<br> Octyl 3-Octyloxiraneoctanoic Acid (cas: 106-84-3; formula: C26H50O3; MW: 410,67 g/mol)<br> Tris(2,4-tert-butylphenyl) phosphite (cas: 31570-04-4; formula: C42H63O3P; MW: 646,92 g/mol)<br> cis-13-Docosenoamide (cas: 112-84-5; formula: C22H43NO; MW: 337,58 g/mol)<br> 12-Hydroxystearic Acid (cas: 106-14-9; formula: C18H36O3; MW: 300,48 g/mol)<br> 2,2,6,6-tetramethyl-4-piperidinol (cas: 2403-88-5; formula: C9H19NO; MW: 157,25 g/mol)<br> 2-(4,6-Diphenyl-1,3,5-triazin-2-yl)-5-[(hexyl)oxy]-phenol (cas: 147315-50-2; formula: C27H27N3O2; MW: 425,52 g/mol)</p> <p><br> </p>
Plastic additive qualitative analysis - Plastic reference materials
<p><span> Clusters of tabular data (with metadata including variable labels, code labels and definition of missing value) reporting plastic additive profile in the reference materials with ID P3, P4, P5, P6, P8 and P9. </span><span>Quality assurance measures were in place during analysis including calibration curves, blank measurements and use of validated methods.</span></p>
Methodology data of "A qualitative and quantitative citation analysis toward retracted articles: a case of study"
<p>This document contains the datasets and visualizations generated after the application of the methodology defined in our work: <em>"A qualitative and quantitative citation analysis toward retracted articles: a case of study"</em>. The methodology defines a citation analysis of the Wakefield et al. [1] retracted article from a quantitative and qualitative point of view. The data contained in this repository are based on the first two steps of the methodology. The first step of the methodology (i.e. “Data gathering”) builds an annotated dataset of the citing entities, this step is largely discussed also in [2]. The second step (i.e. "Topic Modelling") runs a topic modeling analysis on the textual features contained in the dataset generated by the first step. </p> <p><strong>Note:</strong> the data are all contained inside the "<strong><em>method_data.zip"</em> </strong>file. You need to unzip the file to get access to all the files and directories listed below.</p> <p> </p> <p><strong>Data gathering</strong></p> <p>The data generated by this step are stored in <strong>"<em>data/</em>"</strong>:</p> <ol> <li><em><strong>"cits_features.csv": </strong></em>a dataset containing all the entities (rows in the CSV) which have cited the Wakefield et al. retracted article, and a set of features characterizing each citing entity (columns in the CSV). The features included are: DOI ("doi"), year of publication ("year"), the title ("title"), the venue identifier ("source_id"), the title of the venue ("source_title"), yes/no value in case the entity is retracted as well ("retracted"), the subject area ("area"), the subject category ("category"), the sections of the in-text citations ("intext_citation.section"), the value of the reference pointer ("intext_citation.pointer"), the in-text citation function ("intext_citation.intent"), the in-text citation perceived sentiment ("intext_citation.sentiment"), and a yes/no value to denote whether the in-text citation context mentions the retraction of the cited entity ("intext_citation.section.ret_mention").<br> <strong>Note: </strong>this dataset is licensed under a <a href="https://creativecommons.org/publicdomain/zero/1.0/legalcode">Creative Commons public domain dedication (CC0)</a>.<br> </li> <li><em><strong>"cits_text.csv": </strong>this dataset stores the abstract ("abstract") and the in-text citations context ("intext_citation.context") </em>for each citing entity identified using the DOI value ("doi").<br> <strong>Note: </strong>the data keep their original license (the one provided by their publisher). This dataset is provided in order to favor the reproducibility of the results obtained in our work.</li> </ol> <p> </p> <p><strong>Topic modeling</strong><br> We run a topic modeling analysis on the textual features gathered (i.e. abstracts and citation contexts). The results are stored inside the <em><strong>"topic_modeling/"</strong></em> directory. The topic modeling has been done using MITAO, a tool for mashing up automatic text analysis tools, and creating a completely customizable visual workflow [3]. The topic modeling results for each textual feature are separated into two different folders, <em><strong>"abstracts/"</strong></em> for the abstracts, and <em><strong>"intext_cit/"</strong></em> for the in-text citation contexts. Both the directories contain the following directories/files: <strong> </strong></p> <ol> <li> <p><em><strong>"mitao_workflows/"</strong></em>: the workflows of MITAO. These are JSON files that could be reloaded in MITAO to reproduce the results following the same workflows.</p> </li> <li> <p><em><strong>"corpus_and_dictionary/": </strong></em>it contains the dictionary and the vectorized corpus given as inputs for the LDA topic modeling.</p> </li> <li> <p><em><strong>"coherence/coherence.csv":</strong></em> the coherence score of several topic models trained on a number of topics from 1 - 40.</p> </li> <li> <p><em><strong>"datasets_and_views/": </strong></em>the datasets and visualizations generated using MITAO. </p> </li> </ol> <p> </p> <p><strong>References</strong></p> <ol> <li>Wakefield, A., Murch, S., Anthony, A., Linnell, J., Casson, D., Malik, M., Berelowitz, M., Dhillon, A., Thomson, M., Harvey, P., Valentine, A., Davies, S., & Walker-Smith, J. (1998). RETRACTED: Ileal-lymphoid-nodular hyperplasia, non-specific colitis, and pervasive developmental disorder in children. <em>The Lancet</em>, <em>351</em>(9103), 637–641. <a href="https://doi.org/10.1016/S0140-6736(97)11096-0">https://doi.org/10.1016/S0140-6736(97)11096-0</a></li> <li> <p>Heibi, I., & Peroni, S. (2020). A methodology for gathering and annotating the raw-data/characteristics of the documents citing a retracted article v1 (protocols.io.bdc4i2yw) [Data set]. In protocols.io. ZappyLab, Inc. <a href="https://doi.org/10.17504/protocols.io.bdc4i2yw">https://doi.org/10.17504/protocols.io.bdc4i2yw</a></p> </li> <li> <p> </p> Ferri, P., Heibi, I., Pareschi, L., & Peroni, S. (2020). MITAO: A User Friendly and Modular Software for Topic Modelling [JD]. PuntOorg International Journal, 5(2), 135–149. <a href="https://doi.org/10.19245/25.05.pij.5.2.3">https://doi.org/10.19245/25.05.pij.5.2.3</a> <p> </p> </li> </ol>
Shared motivations, goals and values in the practice of personal science - Qualitative data set
<p>269 transcribed excerpts coded from 22 interviews to self-researchers for the study "Shared motivations, goals and values in the practice of personal science - A community perspective on self-tracking for empirical knowledge". Interviews with participants were conducted via video conferencing and were based on a list of open-ended questions, separated into key sections around participation and collaboration in personal science. Participants who agreed to be interviewed, gave informed consent in like with the ethics approval by the Inserm Institutional Review Board (IRB) for this study, and regarding this data set, previous agreement in compliance with privacy and anonymity requirements. Academic article based on this dataset: Senabre Hidalgo, E., Ball, M. P., Opoix, M., & Greshake Tzovaras, B. (2022). Shared motivations, goals and values in the practice of personal science: a community perspective on self-tracking for empirical knowledge. <em>Humanities and Social Sciences Communications</em>, <em>9</em>(1), 1-12. <a href="https://doi.org/10.1057/s41599-022-01199-0">https://doi.org/10.1057/s41599-022-01199-0</a></p>
Investigating the cultural and contextual determinants of antimicrobial stewardship programmes across low-, middle- and high-income countries – a qualitative study
<p>An animation summarising the key findings from a qualitative study conducted as part of a PhD study across England, France, Norway, India and Burkina Faso investigating the influence of culture and team dynamics on the implementation of antimicrobial stewardship interventions. Fifty-four healthcare professionals across 24 hospitals, all of whom had a role in the implementation of antimicrobial stewardship were interviewed to investigate the challenges to implementing interventions across different healthcare settings. </p>
Barriers to home exercise for patients with Parkinson's disease – a qualitative study
<p><strong>Objective</strong>: This study aimed to explore the barriers to home exercise for patients with Parkinson's disease (PwPDs) and provide guidelines for healthcare providers (HcPs) to build and implement home exercise strategies for PwPDs.</p> <p><strong>Design</strong>: A qualitative descriptive method was used. Semi-structured interviews were conducted and thematic analysis was employed.</p> <p><strong>Setting</strong>: The study was conducted in the Department of Neurology at a Grade 3 Class A general hospital in China.</p> <p><strong>Participants</strong>: A total of 22 participants were interviewed, including 10 PwPDs, seven caregivers, two nurses, one head nurse, and two Parkinson's clinicians.</p> <p><strong>Results</strong>: Five themes were identified in this analysis. (1) Psychosomatic stress and low activity; (2) lack of early rehabilitation authorisation; (3) poor "flow" state of home exercise; (4) inaccessibility of continued service; (5) sociocultural impact on family coping.</p> <p><strong>Conclusion</strong>: PwPDs, caregivers, and specialised medical staff raised the challenges faced by patients' home exercises from different perspectives. Interventions can improve services and integrate resources through the management of multi-disciplinary, early rehabilitation authorisation, exercise experience, continuous service mode, and family coping strategies under different cultures to gradually adjust the home exercise behaviour of PwPDs.</p>
Qualitative Analyses - Replication Package
<p><strong>Qualitative Analyses - Replication Package:</strong> Contains 4 csv files for:</p> <ul> <li>The manual classification of pull requests in RQ1</li> <li>The qualitative analysis of negative reactions in RQ1</li> <li>The qualitative analysis of positive reactions in RQ1</li> <li>The qualitative analysis on the five categories of reactors in RQ2</li> </ul>
Supplemental package of a study on the use of qualitative surveys in software engineering researchers
<p>This package contains the list of analyzed papers in a meta-study on the use of qualitative surveys in software engineering research. It contains all the files obtained in queries to scientific databases, and the list of analyzed papers containing how they were classified according to the aspects analyzed.</p>
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.