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6,704 results for “reports”
The evolution of gender monitoring and its challenges in Research and Innovation in Europe: She Figures reports analysis dataset
<p><span>The article delves into the European Commission's flagship initiative on gender monitoring in science and innovation, offering a responsible metrics perspective and drawing on equality policy literature. Over two decades, the initiative has evolved from competitiveness-related justifications to more transformative objectives related to equality policy evaluation, with the measurement areas and policy focus also undergoing changes. While there has been notable progress, the article points out a logic of invisibility in how dimensions and indicators are conceptualised and their data sources and interpretation. However, it also highlights a significant improvement in the information available. The article suggests that the contextualisation of the process could be enhanced to better integrate it into the policy-making cycle, a crucial area for further research. It concludes with proposals for future gender monitoring science and innovation. The aim is to offer an encouraging vision of monitoring that counts more on who is monitored and in opening up the debates instead of closing them.</span></p>
IODP Expedition 397 Sample report
Report includes detailed information about samples taken for testing: location/depth, type/form factor, test, request number, and database identifier.
IODP Expedition 397 Interstitial water composite report
This composite report includes data from numerous interstitial water (IW) analyses (e.g., ICP-LIQUIDS and IONCHROM) in a variable set of columns. Each row combines the data from several tests (groups of measurements made on the same sample at the same time) for a particular IW sample. If data do not exist for a particular expedition, the column does not appear. To identify individual samples and tests, see each separate analysis (ALKALINITY, ICP-LIQUIDS, IONCHROM, SALINITY, SPEC, TITRATOR, and potentially others). Major and minor elements were determined by inductively coupled plasma-atomic emission spectrocsopy (ICP-LIQUIDS). Cations and anions were measured by ion chromatography (IONCHROM). Complex ions were measured by colorimetric measurements using a UV-VIS spectrometer (SPEC). Alkalinity and chloride was measured by titration (ALKALINITY and TITRATOR). Dissolved carbon (DC), dissolved inorganic carbon (DIC), and dissolved organic carbon (DOC) were measured by combustion in a total organic carbon (TOC) analyzer. Salinity was measured by refractometer (SALINITY). pH was measured by ion-selective electrode as part of the alkalinity procedure and is reported in the ALKALINITY analysis.
IODP Expedition 397 Gas safety report
This composite report returns data from two different gas chromatograph configurations (GC3 and NGA). Each row combines data from several measurements made on the same sample at the same time for a particular headspace or vacutainer sample. If data do not exist for a particular expedition, the column does not appear. Gas samples were measured by gas chromatography and either flame ionization detection (GC-FID) or thermal conductivity detection (GC-TCD). Reported analytes may include methane, ethane, ethene, propane, propene, n-butane, i-butane, n-pentane, i-pentane, n-hexane, i-hexane, n-heptane, i-heptane, nitrogen, oxygen, carbon monoxide, carbon dioxide, and hydrogen sulfide. When data are available, methane to (ethane + ethene) ratio (C<sub>1</sub>/C<sub>2</sub>�ratio) is reported. To identify individual samples and tests, see each separate analysis (GC3, NGAFID, and/or NGATCD).
IODP Expedition 397 Carbonates composite report
This composite report includes data from two analyses (total carbon from Elemental analysis [CHNS], and inorganic carbon from [Coulometer]). Each row combines the CHNS and Coulometer data from measurements made on the same sample at the same time for a particular section and section offset (depth). If data do not exist for a particular expedition, the column does not appear. To identify individual samples and tests, see each separate data type (Elemental analysis and Coulometer). If the same sample was measured multiple times by any of the methods, results in the report will be combined on one line where possible. Each additional replicate result will be shown in subsequent rows and will be combined where possible. Report includes results for carbon forms: total, inorganic, calcium carbonate, and organic by difference, along with total hydrogen, nitrogen, and sulfur.
Dataset and Source Code for the Paper: A Framework for Developing Strategic Cyber Threat Intelligence from Advanced Persistent Threat Analysis Reports Using Graph-Based Algorithms
<p>Here are the data set and source code related to the paper: "A Framework for Developing Strategic Cyber Threat Intelligence from Advanced Persistent Threat Analysis Reports Using Graph-Based Algorithms"</p> <p>1- aptnotes-downloader.zip : contains source code that downloads all APT reports listed in https://github.com/aptnotes/data and https://github.com/CyberMonitor/APT_CyberCriminal_Campagin_Collections</p> <p>2- apt-groups.zip : contains all APT group names gathered from https://docs.google.com/spreadsheets/d/1H9_xaxQHpWaa4O_Son4Gx0YOIzlcBWMsdvePFX68EKU/edit?gid=1864660085#gid=1864660085 and https://malpedia.caad.fkie.fraunhofer.de/actors and https://malpedia.caad.fkie.fraunhofer.de/actors</p> <p>3- apt-reports.zip : contains all deduplicated APT reports gathered from https://github.com/aptnotes/data and https://github.com/CyberMonitor/APT_CyberCriminal_Campagin_Collections</p> <p>4- countries.zip : contains country name list.</p> <p>5- ttps.zip : contains all MITRE techniques gathered from https://attack.mitre.org/resources/attack-data-and-tools/</p> <p>6- malware-families.zip : contains all malware family names gathered from https://malpedia.caad.fkie.fraunhofer.de/families</p> <p>7- ioc-searcher-app.zip : contains source code that extracts IoCs from APT reports. Extracted IoC files are provided in report-analyser.zip. Original code repo can be found at https://github.com/malicialab/iocsearcher</p> <p>8- extracted-iocs.zip : contains extracted IoCs by ioc-searcher-app.zip</p> <p>9- report-analyser.zip : contains source code that searchs APT reports, malware families, countries and TTPs. I case of a match, it updates files in extracted-iocs.zip.</p> <p>10- cti-transformation-app.zip : contains source code that transforms files in extracted-iocs.zip to CTI triples and saves into Neo4j graph database.</p> <p>11- graph-db-backup.zip : contains volume folder of Neo4j Docker container. When it is mounted to a Docker container, all CTI database becomes reachable from Neo4j web interface. Here is how to run a Neo4j Docker container that mounts folder in the zip:</p> <p>docker run -d --publish=7474:7474 --publish=7687:7687 --volume={PATH_TO_VOLUME}/DEVIL_NEO4J_VOLUME/neo4j/data:/data --volume={PATH_TO_VOLUME}/DEVIL_NEO4J_VOLUME/neo4j/plugins:/plugins --volume={PATH_TO_VOLUME}/DEVIL_NEO4J_VOLUME/neo4j/logs:/logs --volume={PATH_TO_VOLUME}/DEVIL_NEO4J_VOLUME/neo4j/conf:/conf --env 'NEO4J_PLUGINS=["apoc","graph-data-science"]' --env NEO4J_apoc_export_file_enabled=true --env NEO4J_apoc_import_file_enabled=true --env NEO4J_apoc_import_file_use__neo4j__config=true --env=NEO4J_AUTH=none neo4j:5.13.0</p> <h4><strong>web interface: http://localhost:7474</strong></h4> <h4><strong>username: neo4j</strong></h4> <h4><strong>password: neo4j</strong></h4> <p> </p>
Self-reported data for Sustainable Development from people living in rural and remote areas
<p>Anonymous self-reported data from people living in rural/remote areas as part of a research project on Sustainable Development.</p> <p>The data collection has been approved by the University of Technology Sydney (UTS HREC REF NO. ETH24-9191).</p> <p>The version 1.0 of the dataset includes 212 valid answers to 40 core questions (+ additional info) collected in 2024 in Saudi Arabia.</p>
Deliverable 1.2: Collection of national reports on the citizens' future visions
<p>This deliverable presents the 30 national reports on the citizens’ future visions from the National Citizen Vision Workshops (NCVs), held as a part of the CIMULACT project.</p> <p>The main objective of CIMULACT is to add to the relevance and accountability of the European Research & Innovation (R&I) agenda by engaging citizens and multi-actors in the actual formulation of the European Union’s R&I agenda. The NCVs contributed to this process by engaging citizens in formulating their visions for a desirable and sustainable future.</p> <p>Over a three month period (November 2015 until January 2016) 30 NCVs were held in 30 European countries (28 EU member states, as well as Switzerland and Norway). At each NCV citizens met for a full day to formulate and debate their visions for desirable and sustainable futures. All together 179 visions were formulated during the NCVs by more than 1000 citizens.</p> <p>The national reports on the citizens’ future visions each includes a summary of the NCV process and presents the original and unedited visions (raw visions and six<a href="#_ftn1">[1]</a> final visions) for each country. In addition, all reports include information on participant data. The summaries and the final visions are to be found in the national language and translated into English.</p> <p>The national reports on the citizens’ future visions offer a unique opportunity to identify the European citizens’ wishes, needs and demands for a sustainable and desirable future. The reports may inspire and give input to experts, policy- and decision makers all over Europe, hereby enhancing Responsible Research and Innovation (RRI) in the European Union.</p> <p>In the following, we introduce the necessary background information on how to read the national reports and interpret the visions. In addition we give a resume of the methodology and the NCV process. A deeper analysis of the results is to be found in Deliverable 1.3 –Vision Catalogue and Devliverable 2.1 –First draft of the societal needs research programme scenarios. </p> <p>CIMULACT is a three-year project funded by the Horizon 2020 Framework Program of the European Union. The project began in June 2015.</p> <p> </p> <p><a href="#_ftnref1">[1]</a> Ireland is an exception, since this country only formulated 5 visions.</p>
Data and materials for Wallace et al (2018) Self-report versus electronic medical record recorded healthcare utilisation in older community-dwelling adults: comparison of two prospective cohort studies v1.2
<p>This comprises the data and materials for the study: Wallace E, Moriarty F, McGarrigle C, Smith SM, Kenny RA, Fahey T. (2018) Self-report versus electronic medical record recorded healthcare utilisation in older community-dwelling adults: Comparison of two prospective cohort studies. PLOS ONE 13(10): e0206201. <a href="https://doi.org/10.1371/journal.pone.0206201">https://doi.org/10.1371/journal.pone.0206201</a></p> <p>The anonymised TILDA dataset is publicly available to researchers who meet the criteria for access, at no monetary cost, from the Irish Social Science Data Archive (ISSDA) at University College Dublin (<a href="https://emea01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.ucd.ie%2Fissda%2Fdata%2Ftilda%2F&data=02%7C01%7C%7Ccc2345c4f5c543bbcddc08d5fd28200c%7C607041e7a8124670bd3030f9db210f06%7C0%7C0%7C636693271128219875&sdata=%2Fcochi1RuRtYSUa5sF9uA%2BjOOoNYIg7DPpk0mZl5D2s%3D&reserved=0">http://www.ucd.ie/issda/data/tilda/</a>) and the Interuniversity Consortium for Political and Social Research (ICPSR) at the University of Michigan (<a href="https://emea01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.icpsr.umich.edu%2Ficpsrweb%2FICPSR%2Fstudies%2F34315&data=02%7C01%7C%7Ccc2345c4f5c543bbcddc08d5fd28200c%7C607041e7a8124670bd3030f9db210f06%7C0%7C0%7C636693271128219875&sdata=7LHSSqU8xotACMsalpAjVrV5m95DlapgQViyr4P%2FsXY%3D&reserved=0">http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/34315</a>). For the CPCR cohort, no provision for data sharing was included in the original ethical approval and participant consent form. As a minimal data set necessary to replicate the present study could not be deidentified due to the large number of demographic variables considered, a synthetic version of the study dataset was produced using the synthpop package in R: <a href="https://emea01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcran.r-project.org%2Fweb%2Fpackages%2Fsynthpop%2Findex.html&data=02%7C01%7C%7Ccc2345c4f5c543bbcddc08d5fd28200c%7C607041e7a8124670bd3030f9db210f06%7C0%7C0%7C636693271128229884&sdata=j3If%2FNe%2F1eGsGAt9hyg3ICMqmLec4aOrjRVKppaRSFU%3D&reserved=0">https://cran.r-project.org/web/packages/synthpop/index.html</a>. This dataset and the analytical code for the present study are presented here. Code developed on the synthetic data can be sent to frankmoriarty@rcsi.ie or <a href="mailto:enquiries.cpcr@rcsi.ie">enquiries.cpcr@rcsi.ie</a> to be run on the original data.</p> <p>v1.2 includes a more detailed description of how the dataset was synthesised.</p>
Case report: Papillary squamous cell carcinoma of the penis
<p><strong>Case history</strong></p> <p>62-year-old male with a verruciform tumor located in distal penis and involving glans.</p> <p> </p> <p><strong>Histologic findings</strong></p> <p>The microphotographs show an exophytic verruciform tumor mass characterized by papillomatosis, slight to moderate acanthosis, and hyperkeratosis. Papillae are complex, some with blunt and others with spiky tips. Fibrovascular are present in most but not all papillae and are irregularly shaped. Tumor base is jagged and there is a prominent stromal reaction. Neoplastic cells in papillae and infiltrative tumor nests are well to moderately differentiated (grades 1-2) and no koilocytic atypia is observed.</p> <p> </p> <p><strong>Discussion</strong></p> <p>Verruciform penile tumors comprise about one-quarter of all penile squamous cell carcinomas (SCC) and include papillary, verrucous, and warty carcinomas, as well as giant condylomas and carcinoma cuniculatum. As a group, verruciform carcinomas are characterized by the presence of papillomatosis, acanthosis, and hyperkeratosis. However, there are distinctive morphological features for each one of these tumors. For papillary SCC, the most distinguishing feature is the presence of complex papillae with irregularly shaped fibrovascular cores. Papillary carcinomas tend to be polymorphic with some areas exhibiting condylomatous papillae and others with a more verrucous-like aspect. Fibrovascular cores are readily found in the former and are scant or even absent in the latter.</p> <p>Another important clue in the differential diagnosis with other verruciform tumors is the presence of a jagged tumor-stroma interface. In verrucous and cuniculatum carcinomas the tumor front is broad-based. The absence of koilocytosis allows the distinction from warty carcinomas and giant condylomas, tumors in which koilocytes are conspicuous. HPV status may be helpful in problematic cases, since in papillary carcinomas the HPV detection rate is very low or even null. Immunohistochemistry for p16<sup>INK4a</sup> is also useful since the vast majority of papillary carcinomas do not overexpress this protein. In order for a penile tumor to be considered as p16<sup>INK4a</sup> positive all neoplastic cells should be stained. Cases like this one in which some cells stain and others do not should be regarded as negative for p16<sup>INK4a</sup> overexpression.</p> <p>The inguinal metastatic rate of penile papillary carcinomas is very low and the prognosis is good. Less than one-fifth of all patients present inguinal involvement and even in these cases the mortality rate is low. Even when tumors invade penile erectile tissues prognosis is good as long as no high-grade areas (observed in a minority of the patients) are identified.</p> <p>Clinically patients should be managed using risk-group stratification systems and taking into account histological grade, anatomical level of maximum tumor infiltration, and the presence of vascular and perineural invasion. </p> <p> </p> <p><strong>References</strong></p> <p><a href="https://www.ncbi.nlm.nih.gov/pubmed/20061934">Chaux et al. Am J Surg Pathol. 2010 34(2): 223-30</a></p> <p><a href="https://www.ncbi.nlm.nih.gov/pubmed/22641955">Chaux & Cubilla. Semin Diagn Pathol. 2012 29(2): 72-82</a></p> <p><a href="https://www.ncbi.nlm.nih.gov/pubmed/22641955">Chaux & Cubilla. Semin Diagn Pathol. 2012 29(2): 67-71</a></p>
Elite Survey Fieldwork Report
<p>The "Elite Survey - Fieldwork Report" summarizes the results of the Elite Survey. </p> <p> </p>
MiRoR11 - P2 - Annotated corpus for primary and reported outcomes extraction
<p>Annotated corpus for outcome extraction</p> <p>This folder contains 2 subfolders:<br> 1. Primary_outcomes - a corpus annotated for primary outcomes<br> The folder contains the following files:<br> po_sent_marked_p1_1000.txt - sentences 1 - 1000 of the annotated corpus, ConstruKT format; coordinated outcomes annotated as single entity<br> po_sent_marked_p2_1000.txt - sentences 1001 - 2000 of the annotated corpus, ConstruKT format; coordinated outcomes annotated as single entity</p> <p>po_sent_marked_col_p1.txt - sentences 1 - 1000 of the annotated corpus, tabulated format; coordinated outcomes annotated as single entity<br> po_sent_marked_col_p2.txt - sentences 1001 - 2000 of the annotated corpus, tabulated format; coordinated outcomes annotated as single entity</p> <p>po_sent_marked_col_p1_coord.txt - sentences 1 - 1000 of the annotated corpus, tabulated format; coordinated outcomes annotated as separate entities<br> po_sent_marked_col_p2_coord.txt - sentences 1001 - 2000 of the annotated corpus, tabulated format; coordinated outcomes annotated as separate entities</p> <p>Subfolders:<br> po - the corpus for 10-fold cross-validation (10 subfolders with train/dev/test sets); coordinated outcomes annotated as separate entities<br> po_coord - the corpus for 10-fold cross-validation (10 subfolders with train/dev/test sets); coordinated outcomes annotated as separate entities</p> <p>2. Reported_outcomes - a corpus annotated for reported outcomes<br> The corpus contains sentences from Results and Conclusions sections of the articles for which primary outcomes were annotated. The first part of reported outcomes corpus contains sentences from articles for the first half of the primary outcomes corpus (sentences 1 - 1000). The second part of reported outcomes corpus contains sentences from articles for the second half of the primary outcomes corpus (sentences 1001 - 2000).</p> <p>The folder contains the following files:<br> res_sent_marked_p1.txt - first part of the annotated corpus, ConstruKT format<br> res_sent_marked_p2.txt - second part of the annotated corpus, ConstruKT format</p> <p>res_sent_marked_p1_col.txt - first part of the annotated corpus, tabulated format<br> res_sent_marked_p2_col.txt - first part of the annotated corpus, tabulated format</p> <p>Subfolders:<br> rep - the corpus for 10-fold cross-validation (10 subfolders with train/dev/test sets)</p>
Vortex input files - Carroll et al. Scientific Reports
<p>Vortex input files associated with the manuscript by Carroll et al. "Biological and sociopolitical sources of uncertainty in population viability analysis for endangered species recovery planning", published in Scientific Reports http://doi.org/10.1038/s41598-019-45032-2</p> <p>v2013nodd.xml: Scenario without density-dependent reproduction adapted from 2013 Mexican wolf PVA, as presented initially in Carroll et al. 2014. https://doi.org/10.1111/cobi.12156<br> v2013dd.xml: Scenario with density-dependent reproduction adapted from 2013 Mexican wolf PVA.<br> v2017.xml: Scenario adapted from 2017 Mexican wolf PVA (Miller 2017). <br> MXWlivNoMex.txt: Pedigree input file for above scenarios.</p>
VRTogether Pilot 2 connection with the reporter video
<p>Video of the reporter in stereo format 180º.</p> <p>Codec: H264 - MPEG-4 AVC</p> <p>Dimensions: 5760x2880</p> <p>Framerate: 29.97 fps</p> <p>Bitrate: 8805kbps</p> <p>Audio: Stereo 48000 kHz</p>
ENERGISE Living Lab country report - Denmark
<p>The Danish ELLs were conducted in Roskilde, where ELL1 was situated in Viby Sjælland, and ELL2 was situated in Trekroner. In ELL1 18 participants were involved, and in ELL2 20 participants were involved. In ELL1, participants mainly lived in detached, privately owned houses, where as participants in ELL2 primarily lived in privately owned terraced hoses. The buildings in ELL1 are older than the buildings in ELL2, and the houses in ELL2 are slightly smaller than the houses in ELL1. There is a mix of household sizes and compositions in each ELL, where the average age of participants in ELL1 is slightly older than the average age of ELL2 participants. ELL1 can be considered a community of place, whereas ELL2 can be considered a community of interest, as ELL2 participants consider themselves to community-builders and to be slightly greener than the average population. This is, however, not necessarily so, as this report will also demonstrate.</p>
Extended data of the project "A survey exploring biomedical editors' perceptions of editorial interventions to improve adherence to reporting guidelines"
<p>Figure S1: Survey questionnaire</p> <p>Table S2: Barriers, facilitators and possible improvements of the interventions included in the survey</p>
Demonstration case study reports
<p>As part of the PLAID project an in-depth assessments of the processes involved in achieving efficient and effective on-farm demonstration activities was investigated. 24 year-long studies of demonstration events and activities were selected and followed 2 case studies in each partner country were selected, which followed demonstration from initial commissioning through to impact assessment. The specific objectives were</p> <ul> <li>Improved understanding of the key elements that contribute to successful and effective demonstration activities on commercial farms, looking specifically at: commissioning and financing, topic selection, accessibility, mediation techniques, and embeddedness. Gender will be specifically addressed.</li> <li>Improved understanding of the effectiveness of demonstration activities in terms of learning by participants (at the individual level and the network level: what is learned, by whom, how and why?) and the subsequent impact (i.e. actual implementation of what farmers have learned on their own farm, new network development, innovation inception).</li> <li>Assess the role of demonstration within the wider AKIS systems and what the impact of demonstration is on learning and technology adoption</li> <li>Develop insights into critical success factors, best (and poor) practices, and indicators for effective and successful demonstration activities.</li> </ul>
GWAS on self-reported hearing difficulty in the UK Biobank
<p>The dataset contains results of two genome-wide association studies for age-related hearing impairment (ARHI)-related traits as described in the following publication</p> <p><a href="https://www.sciencedirect.com/science/article/pii/S0002929719303477#!"><em>Wells HRR, Freidin MB, Zainul Abidin FN, Payton A, Dawes P, Munro KJ, Morton CC, Moore DR, Dawson SJ, Williams FMK. GWAS Identifies 44 Independent Associated Genomic Loci for Self-Reported Adult Hearing Difficulty in UK Biobank. Am J Hum Genet. 2019 Oct 3;105(4):788-802. doi: 10.1016/j.ajhg.2019.09.008. Epub 2019 Sep 26.</em></a> </p> <p>Please cite the article if using this dataset.</p> <p>Two files provide summary statistics for discovery analysis of <em><strong>Hearing difficulty (HD) </strong></em>and <em><strong>Hearing aid use (HAID)</strong></em> phenotypes for individuals of European descent from <a href="https://www.ukbiobank.ac.uk/">UK Biobank</a>.</p> <p><strong>Acknowledgements</strong></p> <p>The research was carried out using the UK Biobank Resource under application number 11516. H.R.R.W. is funded by a PhD Studentship Grant, S44, from Action on Hearing Loss. The study was also supported by funding from NIHR UCLH BRC Deafness and Hearing Problems Theme, a grant from MED_EL, and the NIHR Manchester Biomedical Research Centre. The English Longitudinal Study of Aging is jointly run by University College London, Institute for Fiscal Studies, University of Manchester, and National Centre for Social Research. Genetic analyses have been carried out by UCL Genomics and funded by the Economic and Social Research Council and the National Institute on Aging. Data governance was provided by the METADAC data access committee, funded by ESRC, Wellcome, and MRC (2015-2018: Grant Number MR/N01104X/1 2018-2020: Grant Number ES/S008349/1). TwinsUK is funded by the Wellcome Trust, Medical Research Council, European Union, the National Institute for Health Research (NIHR)-funded BioResource, Clinical Research Facility, and Biomedical Research Centre based at Guy’s and St Thomas’ NHS Foundation Trust in partnership with King’s College London. We would like to thank all the participants of UK Biobank, English Longitudinal Study of Aging, and TwinsUK.</p> <p><strong>Column headers:</strong></p> <p>SNP, SNP rsID</p> <p>CHR, chromosome</p> <p>BP, genomic position (GRCh37 build) </p> <p>ALLELE1, effect allele (coded as "1")</p> <p>ALLELE0, reference allele (coded as "0") </p> <p>A1FREQ, effect allele frequency</p> <p>INFO, imputation quality</p> <p>BETA, effect size of effect allele</p> <p>SE: standard error of effect size</p> <p>P, P-value of association (without GC correction)</p>
ENERGISE Living Lab country report _ Netherlands
<p>ENERGISE Living Labs (ELLs) employ practice-based approaches to reduce energy use in households while co-creating knowledge on why energy-intensive practices are performed and how they depend on the context in which they are performed. Altogether 16 living labs were implemented in eight European countries in 2018.</p> <p><br> The Dutch ELLs were led by the ENERGISE team from Maastricht University, in Maastricht in the Netherlands. The ENERGISE Living Labs were implemented in the Southern most province in the Netherlands, Limburg – in two municipalities. Maastricht for ELL1 and Roermond for ELL2, the community-based ELL. Participants were recruited with the help of a local implementation partner Op het Zuiden.</p>
Dataset from: Correlation between proprioception, functionality, patient-reported knee condition and joint acoustic emissions
<p>Measures of functionality, proprioception, self reported status and joint acoustic emissions (AE) were recorded for a sample of general population. Specifically, threshold to detect passive motion (TTDPM), Knee Osteoarthritis Outcome Scores (KOOS) and 5 times sit-to-stand test (5STS) were collected from 51 participant. Knee AE were recorded using two sensors in different frequency ranges and three modes of AE event detection were investigated during cycling with 30 and 60 rpm cadences.</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.