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6,782 results for “project”
Fastprk2 video #2: introduction to the project (SME Instrument phase 2)
<p>Video showing Fastprk2 (Phase 2 of the project)</p>
Todai Robot Project Pre-university Math Benchmark data
<p>The dataset used in the experiments described in Matsuzaki et al., "Can an A.I. Win a Medal in the Math<br> Olympiad? -- Benchmarking Mechanized Math on Pre-university Problems" (to appear)</p>
The Jalakeli Project: Thoidingjam Lakshmipriya Devi Interview on Jalakeli and Organization
<p>Thoidingjam Lakshmipriya Devi talks about the Jalakeli. She is the President of the Shree Shree Govinda Jiu Jalakeli Pala. The interview is in Manipuri and in 8 parts:</p> <p>1) How I came to the Jalakeli</p> <p>2) My mother Maharaj Kumari Angousana Devi</p> <p>3) My grandmother Maharani Dhanamanjuri Devi: How she started the Choir of the Daughters-in-Law</p> <p>4) The Songs of the Choir of the Daughters: The Patronage of the Maharajas</p> <p>5) How I organize the Jalakeli</p> <p>6) My aunt Maharaj Kumari Binodini Devi: Why she never joined the Jalakeli</p> <p>7) Where and When the Jalakeli is Offered</p> <p>8) Remembering their Names: The Invisibility of Women in Manipur's Recorded History</p> <p>The Jalakeli is a HIndu Vaishnav women's performance ritual offered by the two choirs of the Shree Shree Govinda Jiu Jalakeli Pala. The main summer ritual is held every year on Buddha Purnima, the full moon of Kalen (9 May 2017) at the Shree Shree Govindajee Temple of the Royal Palace of Manipur. It is a cycle of songs sung in classical Manipuri sankirtana style by the royal women descendants of Maharaja Narasingh of Manipur (1792-1850). The songs praise Lord Krishna and Lady Radha as they come out to play with water at a fountain. </p> <p>This video is a part of THE JALAKELI PROJECT, Imasi Foundation's web-based, digital, Manipuri women's oral history initiative framed by this traditional women's sankirtana performance ritual of Manipur.</p>
The Jalakeli Project: Video of Jalakeli at the Palace Temple of Manipur
<p>This video is of Jalakeli, a women's Hindu Vaishnav ritual performance of Manipur, India. It was offered, as annual custom dictates, by the Shree Shree Govinda Jiu Jalakeli Pala on Buddha Purnima, the full moon of the Manipuri lunar month of Kalen (9 May 2017) at the Shree Shree Govindajee Temple of the Royal Palace of Manipur.</p> <p>Jalakeli is a cycle of songs sung in classical Manipuri sankirtana style by the royal women descendants of Maharaja Narasingh of Manipur (1792-1850). The songs praise Lord Krishna and Lady Radha as they come out to play with water at a fountain. Performance of the Jalakeli is seen as an offering and an act of worship. This traditional women's ritual performance was by the two choirs of the Shree Shree Govinda Jiu Jalakeli Pala. </p> <p>This video is a part of THE JALAKELI PROJECT, Imasi Foundation's web-based, digital, Manipuri women's oral history initiative framed by the Jalakeli women's ritual performance.</p>
Automotive Sensor Data. An Example Dataset from the AEGIS Big Data Project
<p>This is an example research data dataset for the automotive demonstrator within the "AEGIS - Advanced Big Data Value Chain for Public Safety and Personal Security" big data project, which has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 732189. The time series data has been collected by using a BeagleBone single plate computer which has been developed at VIF to collect data for driving analytics. The BeagleBoard can be connected to the OBD2 interface of a vehicle to capture data from CAN bus and has been additionally equipped with further sensors (GPS, gyroscope, acceleration). The data in this research dataset was collected during 35 different trips conducted by one driver driving one vehicle in the Graz area in Austria.</p>
The Jalakeli Project: Women and Education, and the Role of the House of Narasingh
<p>An interview with Thoidingjam Lakshmipriya Devi and Huidrom Anuradha Devi. daughters of Maharaj Kumari Angousana Devi, of the Shree Shree Govinda Jiu Jalakeli Pala of Manipur.</p> <p>On getting their education, the establishment of Dhanamanjuri University in Manipur by their grandmother Maharani Dhanamanjuri Devi; their education and teachers at Tamphasana Girls High School founded by their aunt Maharaj Kumari Tamphasana Devi; and the founding of Tombisana Boys High School by their second aunt Maharaj Kumari Tombisana Devi.</p> <p>Interview by L. Somi Roy.<br> Recorded by Rajeev Rajkumar</p> <p>The Jalakeli Project</p> <p>Manipur Women's Oral Histories</p> <p>Imasi Foundation 2017</p>
SYMBA project Industrial Symbiosis mapping
<p>The dataset includes the infomation collected during the elaboration of the Industrial Symbiosis (IS) mapping carried out in the framework of the SYMBA project (101135562). Concretely, it compiles the data included in the deliverable D3.1 Report on current Industrial Symbiosis solutions in Europe.</p> <p>The updated v3.0 of the dataset includes the prioritisation of IS solutions, resulting from the application of the Multicriteria Decision Analysis (MCDA) methodology developed under the SYMBA project. This prioritisation, detailed in Deliverable D3.3: Evaluation of IS Prioritised Solutions, applies weighted scoring factors across five readiness dimensions: Symbiosis, Environmental, Societal, Organisational, and Legal/Ethical. The weighting factors used for prioritisation are presented in the adjacent table. For more in-depth insight into the evaluation and prioritisation approach, consult Deliverable D3.3.</p>
Dataset for Bukovsky et al. (2021): "SSP-Based Land Use Change Scenarios: A Critical Uncertainty in Future Regional Climate Change Projections"
<p>This dataset contains derived data and model data necessary for reproducing the results found in "SSP-Based Land Use Change Scenarios: A Critical Uncertainty in Future Regional Climate Change Projections" by Melissa S. Bukovsky, Jing Gao, Linda O. Mearns, and Brian C. O'Neill. This dataset contains data not otherwise available in other public archives, as noted in Bukovsky et al. (2021, Earth's Future; preprint available at https://doi.org/10.1002/essoar.10504141.2). That is, this dataset contains data from the land-use change simulations that are not part of NA-CORDEX (na-cordex.org), but which are complementary to those published in the NA-CORDEX archive.</p>
Project Pythia: Output from WRF V3.6 model
Project Pythia is a community resource for learning how to analyze geosciences data using the Scientific Python Ecosystem. This data set is used primarily on the WRF-Python webpage to illustrate how WRF-Python can be used in conjunction with the Python packages Cartopy, Matplotlib, and Basemap. The data set is also used in a vertical interpolation example that is also found on the WRF-Python webpage. The central latitude for the data is 38.5N and the central longitude is 97.5W.
Cetacean & environmental data collected on Iveragh during LIVE Project (2020-2022)
<p>The data sets consists of cetacean data (sightings and strandings) collected during the LIVE Project, on the Iveragh peninsula, Co. Kerry, Ireland.</p> <p>These include land-based effort watches (October 2021 - September 2022), boat effort surveys (summer 2022), casual sightings reported through LIVE researcher (2020-2022) and data obtained from the Irish Whale and Dolphin Group website (2020-2022).</p> <p>Tidal data from Dingle Harbour and environmental parameters recorded through Buoy M3 are also available here.</p>
Plastic Litter Project 2022-2023 - Minimum Detection Fraction Dataset
<p>Sentinel-2 and PlanetScope SuperDove data, with corresponding UAS RGB reference images (where available) used in </p>
THE EFFECT OF GENDER ACTION LEARNING SYSTEM (GALS) PROJECT ON WOMEN EMPOWERMENT IN RURAL AREAS IN KAMONYI AND MUHANGA DISTRICTS, RWANDA
<p><strong>ABSTRACT:</strong> The study assessed the effect of GALS project on women empowerment in rural areas in Kamonyi and Muhanga Districts, Rwanda. Specific objectives were to evaluate the GALS project activities and services to the farmer's women in Kamonyi and Muhanga Districts; to analyze the relationship between GALS activities and farmer's women empowerment in Rural areas of Kamonyi and Muhanga Districts; and to examine the critical success indicators of farmer's women empowerment before and after joining Gender Action Learning System (GALS) program. Target population was 5,014 farmers (3219 women and 1795 men). This study used purposive and stratified sampling techniques. Data collection techniques and tools were questionnaires, and documentary review. Method of data analysis were descriptive statistical method and cumulative percentages of data. The findings displayed that GALS program activities represented by livelihood planning, adaptation of the GALS "mother" manual, capacity-building and gender training, Agriculture extension service provision which has contributed R=0.930a of the variation in success of empowering farmer's women as explained by r2 of 0.864 </p>
Brain Genomics Superstruct Project (GSP) Intrahemispheric FC
Open the record for dataset details and reuse information.
Reef underwater photogrammetry - fore reef - ilico site Reunion island. TELEMAC project
<h2>Projet pour la Fédération OMNCG – 2023</h2><h3>Projet TELEMAC: TELEdétection Multi-échelle Appliquée aux récifs Coralliens, pour estimer leur rugosité hydrodynamique et rôle protecteur du littoral</h3><h4>Coral reef photogrammetry outputs - </h4><h4>- Point cloud, 3D model, Digital Elevation Model and Orhtomosaic de la pente externe du site Ilico - L'Hermitage </h4><p>contact : Isabel Urbina Barreto : isabel.urbina-barreto@ird.fr IRD - UMR ENTROPIE ; François Guilhaumon : francois.guilhaumon@ird.fr IRD - UMR ENTROPIE ; Emmanuel Cordier : emmanuel.cordier@univ-reunion.fr, Université de La Réunion OSU-R </p><p>Observatoire de Science de l'Univers de la Réunion (OSU-R) ; Observations des Milieux Naturels et des Changements Globaux (OMNCG)</p>
Scripts, inputs and outputs of Module 3 BN analysis and impact assessment regarding Deliverable D6.3 "Performance and Impact assessment" in the IP4MaaS project
<p>All the materials, inputs, models, and scripts that are used in the performance assessment toolbox (IP4MaaS project, Deliverable D6.3 Performance and Impact Assessment) are available in the attached folder. </p> <p>The attached folder contains the following:</p> <p>Module 3_ BN analysis_Graphs and weights (the inputs, weights, graphs, and scripts of Bayesian Network analysis per each IP4MaaS demo site).</p> <p>The scripts have been designed for easy adoption in other projects with similar end goals. While the scripts operate on the codified representation of the traveller profiles, functionalities, and service providers, there is no restriction on the type of codification used. The only factor that the scripts assume is the order of the variables introduced for codification. That is the traveller profile variable (wherever applicable), followed by the Functionality variable, followed by the Service Provider variable. As long as the order is maintained, the scripts self-analyze the number of variables representing the traveller profiles, functionalities, and service providers, and perform calculations (USI, Effectiveness) and analysis (Regression and BN), Hence, in a similar framework, the scripts may be used for performing data analysis on a large data set with no restriction on the number of functionalities, service providers or subsets of traveller profiles. Documented Scripts can be found in a downloadable ZIP file here. </p>
Cortical somatostatin long-range projection neurons and interneurons exhibit divergent developmental trajectories
<p>Spatial transcriptomic data with 94 gene panels on P5 mouse neocortex. Files here include raw tiff files, results/spot counts, DAPI files for ROI segmentation, ROI segmented, final measurement with annotated region and counts. </p>
Dataset for the paper entitled "Implications of Uncertainty in Technology Cost Projections for Least-Cost Decarbonized Electricity Systems"
<p>This dataset contains model codes, post-process scripts, and model output data used to support findings in the paper entitled "Implications of Uncertainty in Technology Cost Projections for Least-Cost Decarbonized Electricity Systems". </p><p>Please contact Lei Duan (leiduan@carnegiescience.edu) for any questions. </p>
Datasets of VAMAS TWA2 Project 33: Chemical characterization of graphene related two-dimensional materials by XPS
<p>The datasets contain excel-files of the XPS raw data of the participants of the interlaboratory comparison. Additionally, the protocol is added.</p>
Data from: Evaluation of different bias correction methods for dynamical downscaled future projections of the California Current Upwelling System
<p class="Abstract">Biases in global Earth System Models (ESMs) are an important source of errors when used to obtain boundary conditions for regional models. Here we examine historical and future conditions in the California Current System (CCS) using three different methods to force the regional model: (1) interpolation of ESM output to the regional grid with no bias correction; (2) a "seasonally-varying" delta method that obtains a season-dependent mean climate change signal from the ESM for a 30-year future period; and (3) a "time-varying" delta method that includes the interannual variability of the ESM over the 1980–2100 period. To compare these methods, we use a high-resolution (0.1˚) physical-biogeochemical regional model to dynamically downscale an ESM projection under the RCP8.5 emission scenario. Using different downscaling methods, the sign of future changes agrees for most of the physical and ecosystem variables, but the spatial patterns and magnitudes of these changes differ, with the seasonal- and time-varying delta simulations showing more similar changes. Not correcting the ESM forcing leads to amplification of biases in some ecosystem variables as well as misrepresentation of the California Undercurrent and CCS source waters. In the non-bias corrected and time-varying delta simulations, most of the ecosystem variables inherit trends and decadal variability from the ESM, while in the seasonally-varying delta simulation, the future variability reflects the observed historical variability (1980–2010). Our results demonstrate that bias correcting the forcing prior to downscaling improves historical simulations and that the bias correction method may impact the spatial and temporal variability of future projections. </p>
Analysis of [Mim][OTf]-TiO2 catalyst - NCN project OPUS, grant no. 2020/37/B/ST8/00693.
<p>Dataset contains results obtained during the NCN project OPUS, grant no. 2020/37/B/ST8/00693. The file presents NMR, TGA, Raman, IR spectra, TEM-EDX analysis of synthesized [Mim][OTf]-TiO2 catalyst.</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.