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6,782 results for “project”
Dataset for the project "Tactile mirror system in borderline personality disorder: a multimodal approach to study brain connectivity and plasticity" (SG-2019-12370473)
<p><strong>Aim 1:</strong></p> <p>Assessment of TaMS alterations in BPD at behavioral and neurophysiological level, focusing on effective connectivity pattern by means of TMS-EEG, and its relationship with empathic abilities (Exp. 1).</p> <p><strong>Aim 2:</strong></p> <p>Assessment of plasticity mechanisms within TaMS in BPD by means of a cross-modal PAS protocol and their relationship with empathic abilities (Exp. 2).</p> <p> </p> <p><strong>The present dataset contains the following files and folders:</strong></p> <p>Folder: <strong>Aim1</strong></p> <p>- <strong>READ ME</strong> AIM1.txt explains folder structure and file content details.</p> <p>- File: <strong>SG2019_Aim1_Demographics.xlsx </strong>contains demographic data. </p> <p>- File <strong>SG2019_Aim1_Empathy.xlsx </strong>contains data on the empathic levels obtained by self-report questionnaires.</p> <p>- File:<strong> SG2019_Aim1_rMT.xlsx </strong>contains the rMT measured to set TMS intensity.</p> <p>- File <strong>SG2019_Aim1_VTSC.xlsx </strong>contains data on behavioral performance (RTs and number of errors).</p> <p>- Subfolder: <strong>TMS-Evoked Potentials</strong>. Data are organized in 6 files per group according to trial type (.mat format).</p> <p>- Subfolder: <strong>Event-Related Potentials</strong>. Data are organized in 3 files per group according to trial type (.mat format).</p> <p>- Subfolder: <strong>Time-frequency Pattern</strong>. Data are organized in 3 files per group according to trial type (.mat format).</p> <p> </p> <p>Folder: <strong>Aim2</strong></p> <p>- <strong>READ ME</strong> AIM2.txt explains folder structure and file content details.</p> <p>- File: <strong>SG2019_Aim2_Demographics.xlsx </strong>contains demographic data. </p> <p>- File <strong>SG2019_Aim2_Empathy.xlsx </strong>contains data on the empathic levels obtained by self-report questionnaire.</p> <p>- File:<strong> SG2019_Aim2_rMT.xlsx </strong>contains the rMT measured to set TMS intensity in the two experimental sessions and which session was performed first.</p> <p>- File <strong>SG2019_Aim2_VTSC.xlsx </strong>contains data on behavioral performance (RTs and number of errors) in the two experimental sessions.</p> <p> </p> <p><strong>Acronym list:</strong></p> <p><u>BPD</u>: borderline personality disorder</p> <p><u>EEG</u>: electroencephalography</p> <p><u>HC</u>: healthy controls</p> <p><u>PAS</u>: paired associative stimulation</p> <p><u>pw-BPD</u>: patients with BPD</p> <p><u>rMT</u>: resting motor threshold</p> <p><u>TaMS</u>: tactile mirror system</p> <p><u>TMS</u>: transcranial magnetic stimulation</p> <p><u>VTSC</u>: visuo-tactile spatial congruity task</p> <p> </p> <p>Restricted Access Conditions: Users must clarify how they intend to use data here uploaded and whether the research protocol has been approved by an Ethics committee. Data on unpublished results will be available, under the same restrictions, after publication.</p>
Project Rogge 12231
<p>C:\Users\gmillot\Documents\Git_projects\12231_rogge</p> <p>C:\Users\gmillot\Documents\Hub projects\20190126 Las Rogge 12231</p>
Project Rosine 13426
<p>C:\Users\gmillot\Documents\Hub projects\20190826 Rosine 13426</p> <p>C:\Users\gmillot\Documents\Git_projects\13426_rosine</p>
Dataset for the project "Identifying disease signatures of neurodegenerative dementias: a focus on autoimmunity and inflammation" Italian Ministry of Health, Italy, Ricerca Finalizzata (Grant RF-2019-12369272)
<p><strong><span>Dataset for the project “Identifying disease signatures of neurodegenerative dementias: a focus on autoimmunity and inflammation” Italian Ministry of Health, Italy, Ricerca Finalizzata (Grant RF-2019-12369272)</span></strong></p> <p><strong><span>Specific Aim 1</span></strong></p> <p><span>To identify an immune-system genetic profile associated with disease onset, clinical phenotype and progression in AD and FTLD patients</span></p> <p><strong><span>Specific Aim 2</span></strong></p> <p><span>To identify an inflammatory/autoimmune biochemical signature associated with disease onset, clinical phenotype and progression in AD and FTLD patients</span></p> <p><strong><span>Specific Aim 3</span></strong></p> <p><span>To study the molecular mechanism involved in anti-GluA3 mediated synaptic, cellular and functional dysfunctions leading to neurodegeneration</span></p> <p><span>The present dataset contains the following folders:</span></p> <ul> <li><strong><span>Aim1:</span></strong><span> </span></li> <ul> <li><span>gVCF: a folder containing all gVCF files for each sample sequenced</span></li> <li><span>Correspondence: a dataset (excel file) containing sample name, group and corresponding g.vcf file name</span></li> <li><span>Gene selected for panel design: an excel file with the 50 genes included in the NGS panel</span></li> <li><span>RawData-RF2019_variants: an excel file containing results included in an article published in IJMS (Int J Mol Sci. 2024; 25(13):7457. doi: 10.3390/ijms25137457) already openly available in the Zenodo Data Repository at doi: 10.5281/zenodo.11659282.</span></li> </ul> </ul> <ul> <li><strong><span>Aim2</span></strong><span>: </span></li> <ul> <li><span>NTA_file: a folder containing Raw NTA file for each sample (from these files we extracted EV concentration and size)</span></li> <li><span>Anti-GluA3_analyses: a dataset (excel file) containing ID sample, diagnosis, group, Anti-GluA3 values from ELISA assay</span></li> <li><span>Biochemical_analyses_UO1: a dataset (excel file) containing sample, group, Raw NTA File name and MHC-II levels from ELISA assay</span></li> <li><span>Biochemical_analyses_UO2: a dataset (excel file) containing sample, group, cytokine/chemokine (Eotaxin, Eotaxin-3, IFN gamma, IL-1 beta, IL-6, IL-8, IL-10, IL-12p70, IP-10, MCP-1, MIP-1 beta, TARC, TNF alpha and IL-17A) levels from Luminex assay</span></li> </ul> </ul> <ul> <li><strong><span>Aim3:</span></strong><span> Results from aim 3 have been included in an article published in Brain, Behavior and Immunity (</span><span>Brain Behav Immun. 2024 May;118:380-397. doi: 10.1016/j.bbi.2024.03.018</span><span>).</span></li> <ul> <li><span>Behaviour: a folder containing datasets and raw data regarding different batches of behavioural analyses</span></li> <li><span>Biochemistry: a folder containing raw data regarding different western blot analyses</span></li> <li><span>Spine_Morphology</span><span>:</span><span> a folder containing datasets and raw data regarding spine morphology</span><span> analyses</span></li> </ul> </ul> <p><span>Users must clarify how they intend to use data here uploaded and whether the research protocol has been approved by an Ethics committee. Data on unpublished results will be available, under the same restrictions, after publication.</span></p>
Citizen science projects and protocols for coastal and marine benthos
<p>Dataset of a systematic review of citizen science projects and protocols for coastal and marine benthos.</p>
OptiBlanks Project Milestone
<p>One year after getting the CE Grant, Innerspec Technologies Europe, had made great advances in OptiBlanks project. It shows how it works.</p>
Metabolomics data set for the project EHP-BFNU-OVNKM-4-139-2024
Open the record for dataset details and reuse information.
NYMPHE project - Blossom Microbial Technologies
<p>Digital twin agricultural polluted soil - metabolic models</p>
Children with congenital Zika syndrome project - CBQ and GMFCS dataset
<p>Dataset of children with congenital microcephaly due to ZIKV referring to the instruments evaluated CBQ and GMFCS in the year 2021.</p>
Zika project - Dataset
<p>Data set of children with congenital microcephaly caused by ZIKV referring to the evaluation instruments "Children's Behavior Questionnaire (CBQ)" and "Gross Motor Function Classification System (GMFCS)" in the year 2021.</p>
DFG Project Taming War - Visitor Interview Transcripts Tin Figure Museum Goslar
<p>With a plethora of commemorative services, performances and exhibitions the centennial of the First World War found its end, but the effects on the museum landscape remain: a renewed interest in military history produced new strategies of display that aim on establishing military history museums as an environment where the human condition and current geopolitical developments can be discussed. Central to these developments is the literal scale of war: the museum diorama has a surprising comeback. Instead of attempting the impossible - to recreate experiences of war - dioramas are used in combination with new technologies and large-scale exhibits to create affective experiential spaces that promote discussion and contemplation of war and violence. At the same time these museums are under constant political pressure and can implement new display strategies only slowly and over a long time due to financial constraints.</p> <p>Nevertheless, it is not well understood how visitors perceive these new strategies of display that employ the updated diorama in combination with large scale exhibits and new technology such as augmented reality. In addition, the motivation and role of curators, modelers and other actors in these developments is largely unknown. Accordingly, it is impossible to say if these new strategies of display are successful without further enquiry. There is always the danger that visitors and curators alike slip back into traditional perceptions and modes of display that simply see the diorama as a pseudo-realistic reconstruction of war experiences.</p> <p>The project wants to elucidate these aspects through qualitative visitor interviews that focus on the perception, effect and affective potential of this new form of exhibiting war. At the same time interviews with curators, designers and modelers are an important aspect of this international research project that spans three countries (England, New Zealand and Germany) and ten museums, ranging from small local institutions to large national museum. All of them use dioramas, miniatures and large-scale exhibits in their displays. Few studies of military history museums make use of such an approach that combines qualitative narrative interviews with different museum actors, a gap this project wants to address.</p> <p>Contrary to comparable studies the project not only relies on conventional interviewing techniques such as narrative face-to-face interviews or focus groups, but also embraces non-verbal interviewing techniques such as Personal Meaning Maps, participatory professional wargames and Lego Serious Play sessions to supplement and expand methodologies of museum visitor research. This approach engenders a deeper understanding of the musealization of war and its effects on visitors as well as the actors behind the scenes.</p> <p>----------</p> <p>This data set is part of a pilot interview campaign that took place in 2018 in preparation for the DFG project. The interviews are semi-structured, but emphasise a narrative approach, with the aim to explore a variety of topics and visitor reactions.</p>
DFG Project Taming War - Visitor Interview Transcript Museum Geschichte in Miniaturen e. V. Hann. Münden
<p>With a plethora of commemorative services, performances and exhibitions the centennial of the First World War found its end, but the effects on the museum landscape remain: a renewed interest in military history produced new strategies of display that aim on establishing military history museums as an environment where the human condition and current geopolitical developments can be discussed. Central to these developments is the literal scale of war: the museum diorama has a surprising comeback. Instead of attempting the impossible - to recreate experiences of war - dioramas are used in combination with new technologies and large-scale exhibits to create affective experiential spaces that promote discussion and contemplation of war and violence. At the same time these museums are under constant political pressure and can implement new display strategies only slowly and over a long time due to financial constraints.</p> <p>Nevertheless, it is not well understood how visitors perceive these new strategies of display that employ the updated diorama in combination with large scale exhibits and new technology such as augmented reality. In addition, the motivation and role of curators, modelers and other actors in these developments is largely unknown. Accordingly, it is impossible to say if these new strategies of display are successful without further enquiry. There is always the danger that visitors and curators alike slip back into traditional perceptions and modes of display that simply see the diorama as a pseudo-realistic reconstruction of war experiences.</p> <p>The project wants to elucidate these aspects through qualitative visitor interviews that focus on the perception, effect and affective potential of this new form of exhibiting war. At the same time interviews with curators, designers and modelers are an important aspect of this international research project that spans three countries (England, New Zealand and Germany) and ten museums, ranging from small local institutions to large national museum. All of them use dioramas, miniatures and large-scale exhibits in their displays. Few studies of military history museums make use of such an approach that combines qualitative narrative interviews with different museum actors, a gap this project wants to address.</p> <p>Contrary to comparable studies the project not only relies on conventional interviewing techniques such as narrative face-to-face interviews or focus groups, but also embraces non-verbal interviewing techniques such as Personal Meaning Maps, participatory professional wargames and Lego Serious Play sessions to supplement and expand methodologies of museum visitor research. This approach engenders a deeper understanding of the musealization of war and its effects on visitors as well as the actors behind the scenes.</p> <p>----------</p> <p>This data set is part of a pilot interview campaign that took place in 2018 in preparation for the DFG project. The interviews are semi-structured, but emphasise a narrative approach, with the aim to explore a variety of topics and visitor reactions.</p>
Mapping Sustainable Development Goals to Citizen Science projects - Datasets
<p> This work presents opportunities, achievements, and future challenges in using computational analytics to better understand the connection between CS and the SDGs. The work in its status does not fully cover SDGs in CS, but it evaluates and shows the potential of the text-classification techniques for identifying SDGs in CS project descriptions and for assessing trends in connection of CS and SDGs based on available data. </p> <p>A total of 56 websites have been used to extract randomly 208 project descriptions from the CS Track database collected during 2019-2022.</p> <p><strong>Content and grouping: </strong></p> <ul> <li> <p>Compiled list of keywords for SDG mapping.</p> </li> <li> <p>Spreadsheet containing training data from SciStarter (set of projects associated with SDGs)</p> </li> <li> <p>Spreadsheet containing the list of projects associated with SDGs in relation to the different automatic classifiers (nCoder, ESA and OSDG) and manual coding.</p> </li> <li> <p>Presentation in CS Track ECSA event (8th October 2022, Berlin): CS-Track database: a central database of CS projects in Europe that can be key to understand the connection of CS and SDGs “Understanding the nature of Citizen Science in a rapidly changing world” </p> </li> <li> <p>The associated full report resulting from this study is in progress. Please contact the corresponding authors for further information.</p> </li> </ul>
Fashion Fictions Education Projects Research 2022
<p>This dataset was generated via a focused piece of research conducted by Dr Matilda Aspinall and Dr Amy Twigger Holroyd which investigated the experiences of students and staff involved in Fashion Fictions projects in 2022 at two institutions: LASALLE College of the Arts in Singapore and Nottingham Trent University. </p> <p>This focused research was situated within the broader Fashion Fictions project. Fashion Fictions, founded by Amy Twigger Holroyd in 2020, brings people together to generate, experience and reflect on engaging fictional visions of alternative fashion cultures and systems. Through these activities, we gain new perspectives on challenges, possibilities and pathways for change in the real world.</p> <p>The project is structured in three stages. Stage 1 prompts contributors to create brief written outlines of fictional fashion cultures and systems, known as Worlds; at Stage 2, participants put flesh on these outlines and create visual or material prototypes to represent their cultures, known as Explorations; at Stage 3, they performatively enact practices or events from the fictional worlds.</p> <p>To find out more about Fashion Fictions, visit the <a href="https://fashionfictions.org/">project website</a>. To see other data linked to the project, visit the <a href="https://zenodo.org/communities/fashionfictions">Fashion Fictions Zenodo community</a>.</p> <p>--------------------------------</p> <p>In both institutions, Fashion Fictions was initially introduced to the curriculum in the 2020/21 academic year; the activities discussed here took place in the following year, with a second cohort of students.</p> <p>At NTU, first-year undergraduate students from BA (Hons) courses in Fashion Design, Textile Design and Fashion Knitwear Design & Knitted Textiles undertook a short Stage 2 Fashion Fictions project. Spanning three two-hour workshops, the project was part of a Future Thinking toolkit within a module that aims to develop students’ intellectual curiosity and appreciation of the future as something that can be shaped and questioned. Working in small cross-course groups, students were given a specified Stage 1 fiction and asked to create a visual or material prototype to represent everyday life in that world, presented via a selection of images and a short explanatory text.</p> <p>At LASALLE, Fashion Fictions was set up as a major project extending across a 14-week semester for second-year students on two BA (Hons) programmes: Fashion Media and Industries and Fashion Design and Textiles. Also working in cross-course collaborative groups, the students first created their own Stage 1 world and then progressed to create a collection of Stage 2 prototypes in the form of garments and related media such as photographs and films, accompanied by an extensive body of supporting work.</p> <p>--------------------------------</p> <p>in April and May 2022 we conducted semi-structured interviews with tutors involved in the projects – Lorraine Warde (Principal Lecturer in Fashion Design) at NTU and Martin Bonney and Kathryn Shannon Sim Yen Ping (Lecturers in Fashion, interviewed together) at LASALLE – and with three student groups, selected by the tutors, from each institution.</p> <p>The interview schedules for students and tutors each comprised four reflective questions, designed to gain an insight into the students’ experiences and the tutors’ observations. Each recorded interview lasted between twenty and sixty minutes.</p> <p>--------------------------------</p> <p>The dataset is organised in nine folders:</p> <p><strong>1 Project context</strong></p> <ul> <li>Project website About page from February 2022 (explaining the wider project at the time of this research).</li> <li>Project website Education projects page from January 2022 (giving context to the education projects taking place at the time of this research).</li> </ul> <p><strong>2 Activity guidance</strong></p> <ul> <li>Project website Stage 1 (World) online guide from January 2022 (as available for use by LASALLE students).</li> <li>NTU virtual workspace Stage 2 (Exploration) guidance (as used by NTU students and providing an indication of the type of guidance that would have been offered to LASALLE students for their Stage 2 work - although their project was much longer in duration).</li> </ul> <p><strong>3 Interview documentation</strong></p> <ul> <li>Information sheet and consent form given to research participants.</li> <li>Interview questions for staff and students, shared with all participants in advance.</li> </ul> <p><strong>4 LASALLE staff interview</strong></p> <ul> <li>Transcript of interview with Martin Bonney and Kathryn Shannon Sim Yen Ping (Lecturers in Fashion).</li> </ul> <p><strong>5 LASALLE student interviews</strong></p> <ul> <li>Transcripts of interviews with three student groups, each identified by the number/letter of the Stage 1 World and Stage 2 Exploration they created (as listed on the project website <a href="https://fashionfictions.org/the-worlds/">Worlds</a> and <a href="https://fashionfictions.org/explorations/">Explorations</a> pages).</li> </ul> <p><strong>6 LASALLE student work</strong></p> <ul> <li>Project work (Stage 1 Worlds and Stage 2 Explorations) created by the three student groups interviewed, as displayed on the project website. One group (World 154) did not submit their Exploration for the website.</li> </ul> <p><strong>7 NTU staff interview</strong></p> <ul> <li>Transcript of interview with Lorraine Warde (Principal Lecturer in Fashion Design).</li> </ul> <p><strong>8 NTU student interviews</strong></p> <ul> <li>Transcripts of interviews with three student groups, each identified by the number/letter of the Stage 2 Exploration they created (as listed on the project website <a href="https://fashionfictions.org/explorations/">Explorations</a> page).</li> </ul> <p><strong>9 NTU student work</strong></p> <ul> <li>Project work (Stage 2 Explorations) created by the three student groups interviewed. Two groups' work is as displayed on the project website. One group (World 95, Exploration X) did not submit their Exploration for the website and so their internal presentation has been included instead.</li> </ul>
Ecotoxicity data realted to the ELECTRA 826244 H2020 project Deliverable 3.2 entitled "Intermediate report on the performance of the prototyped technologies"
<p>Ecotoxicity testing was carried out within the frame of the ELECTRA No. 826244 H2020 project. Samples were provided by partners from laboratory experiments. This dataset contains ecotoxicity data related to demonstration technologies described in Deliverable 3.3 entitled Intermediate report on the performance of the prototyped technologies.</p>
Ecotoxicity data realted to the ELECTRA 826244 H2020 project Deliverable 1.2 entitled "Report on the tools for monitoring and assessing ecotoxicity"
<p>Ecotoxicity testing was carried out within the frame of the ELECTRA No. 826244 H2020 project. Groundwater, sediment, soil and wastewater samples from the potential ELECTRA model sites were tested, and a recommendation was made for the appropriate ecotoxicity test battery to be applied for each matrice. This dataset is supplementary to Deliverable 1.2 Report on the tools for monitoring and assessing ecotoxicity.</p>
Ecotoxicity data realted to the ELECTRA 826244 H2020 project Deliverable 2.1 entitled "Description of the prototypes set-up for field testing"
<p>Ecotoxicity testing was carried out within the frame of the ELECTRA No. 826244 H2020 project. Samples were provided by partners from laboratory experiments. This dataset contains ecotoxicity data related to technologies described in Deliverable 2.1 entitled Description of the prototypes set-up for field testing.</p>
Ecotoxicity data realted to the ELECTRA 826244 H2020 project Deliverable 2.2 entitled "Report of final results of the technologies developed for water bioremediation"
<p>Ecotoxicity testing was carried out within the frame of the ELECTRA No. 826244 H2020 project. Samples were provided by partners from laboratory experiments. This dataset contains ecotoxicity data related to bioremediation technologies for water treatment described in Deliverable 2.2 entitled Report of final results of the technologies developed for water bioremediation.</p>
Dataset related to article "Xpert Bladder Cancer Monitor May Avoid Cystoscopies in Patients Under "Active Surveillance" for Recurrent Bladder Cancer (BIAS Project): Longitudinal Cohort Study "
<p>This record contains raw data related to article “Xpert Bladder Cancer Monitor May Avoid Cystoscopies in Patients Under "Active Surveillance" for Recurrent Bladder Cancer (BIAS Project): Longitudinal Cohort Study"</p> <p>Abstract</p> <p><strong>Objectives: </strong> To test the hypothesis that patients under active surveillance (AS) for Non-muscle Invasive Bladder Cancer (NMIBC) who were negative on longitudinal re-testing by the Xpert<sup>®</sup> Bladder Cancer Monitor (Xpert BC Monitor) assay may avoid unnecessary cystoscopies and urine cytology (UC).</p> <p><strong>Subjects/patients or materials and methods: </strong> This is a prospective cohort study of patients enrolled in the AS protocol for recurrent NMIBC (Bladder Cancer Italian Active Surveillance, BIAS project), whose urine samples were analyzed by Xpert BC Monitor upon entry in the study (T0). Patients who had a negative Xpert test and did not fail AS, underwent additional Xpert tests after 4 (T1), 8 (T2), and 12 (T3) months. The clinical utility of Xpert was assessed by determining the number of cystoscopies and UC that could be avoided within 1 year.</p> <p><strong>Results: </strong> Overall, 139 patients were tested with Xpert at T0. Median follow-up was 23 (IQR 17-27) months. Sixty-eight (48.9%) patients failed AS, 65 (46.7%) are currently on AS, and 6 (4.3%) were lost at follow-up. At T0 57 (41.0%) patients had a negative test and 36 (63.2%) are still in AS. In patients with 2 consecutives negative Xpert tests, we could have avoided 73.9% of unnecessary cystoscopies, missing 26.4% failure, up to avoid all cystoscopies with 4 negative tests missing only 12% of failure. All the patients with negative Xpert had negative UC. Failure-free-survival at median follow-up (23 month) stratified for having 0, 1, or ≥2 negative tests was 67.0, 55.1. and 84.1, respectively.</p> <p><strong>Conclusion: </strong> Our findings suggest that Xpert BC Monitor assay, when it is longitudinally repeated, could significantly reduce the number of unnecessary cystoscopies and UC during their follow-up.</p> <p> </p>
Fast-track regional sea level projections up to 2500 (PROTECT)
<p>This NetCDF4 file contains regional sea-level change projections from 2020 to 2500 based on IPCC AR6 projections and a combination of linear extrapolations and scaling methods. Data are provided for scenarios SS1-2.6 and SSP2-4.5. </p>
ScienceDex guides
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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.