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2,227 results for “Market”
H2020 Platone Italian Demonstrator Use Case 1-2 Market 3rd quarter 2022
<p>areti_market_flexibility_TSO_requestes</p> <p>areti_market_flexibility_DSO_requestes</p> <p>areti_market_flexibility_Aggregator_bids</p> <p>areti_market_flexibility_settlement</p> <p>areti_market_flexibility_outcomes</p> <p>- TSO flexibility requests:</p> <ul> <li>Starting Time</li> <li>Duration</li> <li>Market Type</li> <li>Market Session</li> <li>Flexibility Service Type</li> <li>Volumes</li> <li>Grid Area</li> </ul> <p>- DSO flexibility requests:</p> <ul> <li>Starting Time</li> <li>Duration</li> <li>Market Type</li> <li>Market Session</li> <li>Flexibility Service Type</li> <li>Volumes, Grid Area</li> </ul> <p>- Aggregator bids:</p> <ul> <li>Starting Time</li> <li>Duration</li> <li>Market Type</li> <li>Market Session</li> <li>Flexibility Service Type</li> <li>Volumes</li> <li>PoDs List</li> </ul> <p>- Settlement data:</p> <ul> <li>Pod</li> <li>Requested Active Power</li> <li>Measured Active Power</li> <li>Requested Reactive Power</li> <li>Measured Reactive Power</li> </ul> <p>- Market Outcomes:</p> <ul> <li>Market Outcome Id</li> <li>Market Type</li> <li>Market Session</li> <li>Flexibility Service Type</li> </ul> <p>Other than TSO flexibility requests, to test the demo, other data could be simulated. In this case, it will be indicated in the metadata documentation.</p> <p>(Useful link to consult Italian UC: <a href="https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsmart-grid-use-cases.github.io%2Fdocs%2Fusecases%2Fplatone%2Fuc-it-1-voltage-management%2F&data=04%7C01%7Cfabio.bastianelli%40mail-bip.com%7C0bb5a42aac0c49cb876708d9f2c89510%7Cbb1a63ebeb09471aa00537b07792a5b5%7C0%7C0%7C637807765572787908%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=ptAsS52VBberHmZqIzYEXZs1PQrXQ6TDz6mNK%2FNWnk0%3D&reserved=0">https://smart-grid-use-cases.github.io/docs/usecases/platone/uc-it-1-voltage-management/</a>; <a href="https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsmart-grid-use-cases.github.io%2Fdocs%2Fusecases%2Fplatone%2Fuc-it-2-congestion-management%2F&data=04%7C01%7Cfabio.bastianelli%40mail-bip.com%7C0bb5a42aac0c49cb876708d9f2c89510%7Cbb1a63ebeb09471aa00537b07792a5b5%7C0%7C0%7C637807765572787908%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=xWNOqSeS5JxDoBEWZ4aB63gLmsnTA8YGGfCOoLjo1eo%3D&reserved=0">https://smart-grid-use-cases.github.io/docs/usecases/platone/uc-it-2-congestion-management/</a>, <a href="https://platone-h2020.eu/data/deliverables/864300_M12_D1.1.pdf">https://platone-h2020.eu/data/deliverables/864300_M12_D1.1.pdf</a>)</p>
H2020 Platone Italian Demonstrator Use Case 1-2 Market 2nd quarter 2022
<p>areti_market_flexibility_TSO_requestes</p> <p>areti_market_flexibility_DSO_requestes</p> <p>areti_market_flexibility_Aggregator_bids</p> <p>areti_market_flexibility_settlement</p> <p>areti_market_flexibility_outcomes</p> <p>- TSO flexibility requests:</p> <ul> <li>Starting Time</li> <li>Duration</li> <li>Market Type</li> <li>Market Session</li> <li>Flexibility Service Type</li> <li>Volumes</li> <li>Grid Area</li> </ul> <p>- DSO flexibility requests:</p> <ul> <li>Starting Time</li> <li>Duration</li> <li>Market Type</li> <li>Market Session</li> <li>Flexibility Service Type</li> <li>Volumes, Grid Area</li> </ul> <p>- Aggregator bids:</p> <ul> <li>Starting Time</li> <li>Duration</li> <li>Market Type</li> <li>Market Session</li> <li>Flexibility Service Type</li> <li>Volumes</li> <li>PoDs List</li> </ul> <p>- Settlement data:</p> <ul> <li>Pod</li> <li>Requested Active Power</li> <li>Measured Active Power</li> <li>Requested Reactive Power</li> <li>Measured Reactive Power</li> </ul> <p>- Market Outcomes:</p> <ul> <li>Market Outcome Id</li> <li>Market Type</li> <li>Market Session</li> <li>Flexibility Service Type</li> </ul> <p>Other than TSO flexibility requests, to test the demo, other data could be simulated. In this case, it will be indicated in the metadata documentation.</p> <p>(Useful link to consult Italian UC: <a href="https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsmart-grid-use-cases.github.io%2Fdocs%2Fusecases%2Fplatone%2Fuc-it-1-voltage-management%2F&data=04%7C01%7Cfabio.bastianelli%40mail-bip.com%7C0bb5a42aac0c49cb876708d9f2c89510%7Cbb1a63ebeb09471aa00537b07792a5b5%7C0%7C0%7C637807765572787908%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=ptAsS52VBberHmZqIzYEXZs1PQrXQ6TDz6mNK%2FNWnk0%3D&reserved=0">https://smart-grid-use-cases.github.io/docs/usecases/platone/uc-it-1-voltage-management/</a>; <a href="https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsmart-grid-use-cases.github.io%2Fdocs%2Fusecases%2Fplatone%2Fuc-it-2-congestion-management%2F&data=04%7C01%7Cfabio.bastianelli%40mail-bip.com%7C0bb5a42aac0c49cb876708d9f2c89510%7Cbb1a63ebeb09471aa00537b07792a5b5%7C0%7C0%7C637807765572787908%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=xWNOqSeS5JxDoBEWZ4aB63gLmsnTA8YGGfCOoLjo1eo%3D&reserved=0">https://smart-grid-use-cases.github.io/docs/usecases/platone/uc-it-2-congestion-management/</a>, <a href="https://platone-h2020.eu/data/deliverables/864300_M12_D1.1.pdf">https://platone-h2020.eu/data/deliverables/864300_M12_D1.1.pdf</a>)</p>
H2020 Platone Italian Demonstrator Use Case 1-2 Market 1st quarter 2022
<p>areti_market_flexibility_TSO_requestes</p> <p>areti_market_flexibility_DSO_requestes</p> <p>areti_market_flexibility_Aggregator_bids</p> <p>areti_market_flexibility_settlement</p> <p>areti_market_flexibility_outcomes</p> <p>- TSO flexibility requests:</p> <ul> <li>Starting Time</li> <li>Duration</li> <li>Market Type</li> <li>Market Session</li> <li>Flexibility Service Type</li> <li>Volumes</li> <li>Grid Area</li> </ul> <p>- DSO flexibility requests:</p> <ul> <li>Starting Time</li> <li>Duration</li> <li>Market Type</li> <li>Market Session</li> <li>Flexibility Service Type</li> <li>Volumes, Grid Area</li> </ul> <p>- Aggregator bids:</p> <ul> <li>Starting Time</li> <li>Duration</li> <li>Market Type</li> <li>Market Session</li> <li>Flexibility Service Type</li> <li>Volumes</li> <li>PoDs List</li> </ul> <p>- Settlement data:</p> <ul> <li>Pod</li> <li>Requested Active Power</li> <li>Measured Active Power</li> <li>Requested Reactive Power</li> <li>Measured Reactive Power</li> </ul> <p>- Market Outcomes:</p> <ul> <li>Market Outcome Id</li> <li>Market Type</li> <li>Market Session</li> <li>Flexibility Service Type</li> </ul> <p>Other than TSO flexibility requests, to test the demo, other data could be simulated. In this case, it will be indicated in the metadata documentation.</p> <p>(Useful link to consult Italian UC: <a href="https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsmart-grid-use-cases.github.io%2Fdocs%2Fusecases%2Fplatone%2Fuc-it-1-voltage-management%2F&data=04%7C01%7Cfabio.bastianelli%40mail-bip.com%7C0bb5a42aac0c49cb876708d9f2c89510%7Cbb1a63ebeb09471aa00537b07792a5b5%7C0%7C0%7C637807765572787908%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=ptAsS52VBberHmZqIzYEXZs1PQrXQ6TDz6mNK%2FNWnk0%3D&reserved=0">https://smart-grid-use-cases.github.io/docs/usecases/platone/uc-it-1-voltage-management/</a>; <a href="https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsmart-grid-use-cases.github.io%2Fdocs%2Fusecases%2Fplatone%2Fuc-it-2-congestion-management%2F&data=04%7C01%7Cfabio.bastianelli%40mail-bip.com%7C0bb5a42aac0c49cb876708d9f2c89510%7Cbb1a63ebeb09471aa00537b07792a5b5%7C0%7C0%7C637807765572787908%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=xWNOqSeS5JxDoBEWZ4aB63gLmsnTA8YGGfCOoLjo1eo%3D&reserved=0">https://smart-grid-use-cases.github.io/docs/usecases/platone/uc-it-2-congestion-management/</a>, <a href="https://platone-h2020.eu/data/deliverables/864300_M12_D1.1.pdf">https://platone-h2020.eu/data/deliverables/864300_M12_D1.1.pdf</a>)</p>
Data for Linkage mapping of root shape traits associated with market class in two biparental carrot populations
<p> </p> <p>This repository contains essential data to support the findings presented in the forthcoming publication titled "Linkage Mapping of Root Shape Traits Associated with Market Class in Two Biparental Carrot Populations." It includes VCF files for two distinct carrot biparental populations, as well as R code for filtering, constructing linkage maps, and conducting QTL analysis. Furthermore, the repository hosts phenotypic data gathered from these two biparental populations during the years 2020 and 2021.</p> <p>Two carrot genetic maps, one for each population, have been made available alongside their respective phenotypic data.</p> <p>The provided R code contains absolute working directory paths that may not function as intended on your system. The primary purpose of sharing this code is to offer readers insight into the techniques employed in this study. You may need to adapt the directory paths to suit your specific setup. </p> <p>To assist readers in understanding the logical sequence of steps involved in our linkage mapping project, the R code scripts have been sequentially numbered from 0 to 10.</p> <p>For more info contact: vegaalfaro@wisc.edu.</p>
Data Review Handphone Toko Online XYZ Market Place XYZ
<p>Data set review Handphone di toko online di market place yang dipergunakan untuk natural language processing. </p>
Taxonomy of barriers that hinders Local Flexibility Market proliferation
<p>This dataset contains the results of the state of the art survey to retrieve the barriers that that hinders Local Flexibility Market proliferation. Scientific literature, interviews with different stakeholders, technical reports from the main energy agencies and the European and national legislation have been consulted to build the taxonomy. Three files are provided:</p> <ul> <li>a spreadsheet with the list of barriers and the document were it is found and</li> <li>a diagram with the end taxonomy of barriers</li> <li>a document with an explanation of the barriers included in each category of the taxonomy</li> </ul>
Prioritization of barriers that hinders Local Flexibility Market proliferation
<p>This dataset contains the prioritization provided by a panel of 15 experts to a set of 28 barriers categories for 8 different roles of the future energy system. A Delphi method was followed and the scores provided in the three rounds carried out are included. The dataset also contains the scripts used to assess the results and the output of this assessment. </p> <p>A list of the information contained in this file is:</p> <ul> <li> <p><strong>data folder</strong>: this folders includes the scores given by the 15 experts in the 3 rounds. Every round is in an individual folder. There is a file per expert that has the scores between -5 (not relevant at all) to 5 (completely relevant) per barrier (rows) and actor (columns). There is also a file with the description of the experts in terms of their position in the company, the type of company and the country.</p> </li> <li> <p><strong>fig folder</strong>: this folder includes the figures created to assess the information provided by the experts. For each round, the following figures are created (in each respective folder):</p> <ul> <li> <p>Boxplot with the distribution of scores per barriers and roles. </p> </li> <li> <p>Heatmap with the mean scores per barriers and roles.</p> </li> <li> <p>Boxplots with the comparison of the different distributions provided by the experts of each group (depending on the keywords) per barrier and role.</p> </li> <li> <p>Heatmap with the mean score per barrier weighted depeding on the importance of the role in each use case and the final prioritization.</p> </li> </ul> </li> </ul> <p>Finally, bar plots with the mean scores differences between rounds and boxplot with comparisons of the scores distributions are also provided.</p> <ul> <li> <p><strong>stat folder</strong>: this folder includes the files with the results of the different statistical assessment carried out. For each round, the following figures are created (in each respective folder):</p> <ul> <li> <p>The statistics used to assess the scores (Intraclass correlation coefficient, Inter-rater agreement, Inter-rater agreement p-value, Homogeneity of Variances, Average interquartile range, Standard Deviation of interquartile ranges, Friedman test p-value Average power post hoc) per barrier and per role.</p> </li> <li> <p>The results of the post hoc of the Friedman Test per berries and per roles.</p> </li> <li> <p>The average score per barrier and per role.</p> </li> <li> <p>The mean value of the scores provided by the experts grouped by the keywords per barrier and role. P-value of the comparison of these two values.</p> </li> <li> <p>The end prioritization of the barrier for the use case (averaging the scores or fuzzy merging of the critical sets)</p> </li> </ul> </li> </ul> <p>Finally, the differences between the mean and standard deviations of the scores between two consecutive rounds are provided.</p>
Offshore wind competitiveness in mature markets without subsidy - Supplementary Data
<p>This is the data set named "Supplementary Data 1" for the research paper "Offshore wind competitiveness in mature markets without subsidy". This data set also contains the raw data for reproducing Figure 1 through to Figure 4. The paper is currently under review and access is for peer-review purposes only.</p>
Database for Market uptake of concentrating solar power in Europe: model-based analysis of drivers and policy trade-offs. MUSTEC project.
<p>This dataset contains the data underlying the modelling activities of the MUSTEC (<em>Market Uptake of Solar Thermal Electricity through Cooperation</em>) project used in the models Green-X (TU Wien) and Enertile (Fraunhofer ISI).</p> <p>For description of the modelled scenarios, results and findings, see: Resch, G., Schöniger, F., Kleinschmitt, C., Franke, K., Sensfuß, F., Thonig, R., and Lilliestam, J.:<em> </em><em> Market uptake of concentrating solar power in Europe: model-based analysis of drivers and policy trade-offs. </em>Deliverable 8.2 MUSTEC project, TU Wien, Wien.</p> <p>For information on the project see: https://www.mustec.eu/</p> <p>For data descriptions, licence, and further information, see README.md.</p> <p> </p>
Data for Measuring the Market Impact of New Auditing Standards in China
<p>Data used in a study of the market impact of new auditing standards in China. The data includes 76 companies listed on the A+H share markets that were subject to the new auditing standards in 2017. It also includes 76 companies listed on the A share market which were matched with the experimental sample using the Propensity-Score Matching method. Files include 2016 & 2017 cumulative abnormal returns (CAR) and volatility (Vol) for the experimental group (A+H shares) and the control group (A shares) and control variables for both groups.</p> <p> </p> <p> </p>
spanish_used_car_market: Coches de segunda mano a la venta en España
<p>En el siguiente <em>dataset</em> se presentan los datos sobre <strong>coches en venta en el territorio español </strong>obtenidos fruto del desarrollo de la Práctica 1 de la asignatura 'Tipología y Ciclo de Vida de los Datos' del Máster en Ciencia de Datos de la Universitat Oberta de Catalunya, con fin meramente académico.</p> <p>Los datos han sido recolectados utilizando técnicas de <em>web scraping </em>sobre el sitio web www.milanuncios.com.</p> <p>Los atributos del fichero .CSV se definen a continuación:</p> <ul> <li><strong>ad_id</strong>: Identificador del anuncio del coche.</li> <li><strong>ad_type</strong>: Tipo de anuncio. En nuestro caso, siempre va a ser Oferta.</li> <li><strong>ad_time</strong>: Tiempo que llevaba publicado el anuncio cuando se recogió la información, en formato X horas o X días. En el caso en que fuese un anuncio destacado, no tenemos esa información.</li> <li><strong>ad_title</strong>: Título del anuncio de venta, con formato {Marca} – {Modelo}.</li> <li><strong>car_desc</strong>: Preview de la descripción del anuncio de venta del vehículo.</li> <li><strong>car_km</strong>: Kilómetros que tiene recorridos el coche.</li> <li><strong>car_year</strong>: Año de matriculación del vehículo.</li> <li><strong>car_engine_type</strong>: Tipo de transmisión. Posibles valores: Manual | Automático.</li> <li><strong>car_door_num</strong>: Número de puertas de las que dispone el coche.</li> <li><strong>car_power</strong>: Potencia del vehículo, en formato XXX CV.</li> <li><strong>car_price</strong>: Precio en euros por el que se vende el coche.</li> <li><strong>advertizer_type</strong>: Indica cuál es el tipo de vendedor del vehículo. Valores posibles: Profesional | Particular.</li> <li><strong>image_url</strong>: Foto principal del anuncio de venta del coche.</li> <li><strong>ts</strong>: Hora en la que se recogió la información, con formato YYYY-MM-DD hh:mm:ss.ms.</li> <li><strong>region</strong>: Provincia en la que se está vendiendo el vehículo.</li> </ul>
Dataset and Figures for article: Ivanov P.Ch., Yuen, A., Perakakis, P., (2014). Impact of stock market structure on intertrade time and price dynamics. PLoS ONE 9(4): e92885
<p>Dataset and Figures for article: Ivanov P.Ch., Yuen, A., Perakakis, P., (2014). Impact of stock market structure on intertrade time and price dynamics. PLoS ONE 9(4): e92885</p>
résumé cours marketing
<p>il s'agit d'une conceptualisation des notions de base du marketing </p> <p>l'objectif est d'avoir une initiation sur les techniques opérationnelles et stratégique de marketing</p> <p>cette résumé est publiée pour les étudiants de deuxième année multimédias </p> <p> </p>
résumé du cours marketing
<p>Résumé des concepts de base, des techniques de marketing</p> <p>l'objectif est d'avoir une initiation au cours marketing</p> <p>cette résumé est déstinée aux étudiants de deuxième année multimédias</p>
Nicosia, Cyprus. Bedesten. Exterior from the north east in 1973, prior to removal of market from the precinct.
<p>Nicosia, Cyprus. Bedesten. Exterior from the north east in 1973, prior to removal of market from the precinct.</p>
W4RES Case studies of women leading RHC market uptake
<p>23 interviews were conducted with women (co-)leading or initiating RHC concepts in 8 different countries (IT, DK, EL, SK, AT, DE, BE, BG) that served as the background material for this dataset. Before conducting the interviews, the W4RES partners were asked to identify case studies based on: </p><p>• Structure of the organization</p><p>• Geographical outreach</p><p>• Visibility and interaction on social media</p><p>• Financial power</p><p>• Source of Renewable Energy</p><p>• Renewable Heating and Cooling concepts</p><p>It moreover entailed a scoring section in which the case studies were ranked according to:</p><p>• Technical innovation</p><p>• Social innovation</p><p>• Transferability</p><p>• Societal impact</p><p>• Political impact</p><p>• Market potential</p><p>• External communication</p><p>• Female leadership and influence</p><p>• Internal support measures for women</p><p>W4RES partners interviewed the female leaders and stakeholders in the organizations that ranked highest in the case study identification tables. These women were asked to reflect on the impact of their RHC solutions, the role of women in the organization, the support measures targeting women, as well as potential barriers and needs. The interview material was coded manually and collected in a synthesis matrix. This overview facilitates cross-case comparison and allows to see patterns for barriers and success factors.</p>
Intelligent Energy Systems Ontology: Local flexibility market and power system co-simulation demonstration
<p>The Intelligent Energy Systems Ontology (IESO) provides semantic interoperability within a society of multi-agent systems (MAS) developed in the scope of power and energy systems (PES). It leverages the knowledge from existing and publicly available semantic models developed for specific PES subdomains to accomplish a shared vocabulary among the agents of the MAS community, overcoming heterogeneity among the reused ontologies. IESO provides agents with semantic reasoning, constraints validation, and data uniformization. The use of IESO is demonstrated through the simulation of the management of a rural distribution network, considering the validation of the grid’s technical constraints. This dataset publishes files demonstrating: i) a snapshot of the initial semantic knowledge base (KB); ii) queries to the KB to get services inputs; iii) conversions between syntactic and semantic models; <br> iv) constraints validations; v) automatic conversion of units of measure.</p>
INFLUENCERS MARKETING
<p>A set of 1740 papers about virtual infuencer marketing was retrieved from the ISIWeb of Science (from 1997 to 2021).</p>
Data for: Understanding consumers to inform market interventions for Singapore's shark fin trade
<ol> <li>Sharks, rays and their cartilaginous relatives (Class Chondricthyes, herein 'sharks') are amongst the world's most threatened species groups, primarily due to overfishing, which in turn is driven by complex market forces including demand for fins. Understanding the high-value shark fin market is a global priority for conserving shark and rays, yet the preferences of shark fin consumers are not well understood. This gap hinders the design of evidence-based consumer-focused conservation interventions. </li> <li>Using an online discrete choice experiment, we explored preferences for price, quality, size, menu types (as a proxy for exclusivity) and source of fins (with varying degrees of sustainability) among 300 shark fin consumers in Singapore: a global entrepot for shark fin trade. </li> <li>Overall, consumers preferred lower-priuced fins sourced from responsible fisheries or produced using novel lab-cultured techniques. We also identified four consumer segments, each with distinct psychographics characteristics and consumption behaviors. </li> <li>These preferences and profiles could be leveraged to inform new regulatory and market-based interventions regarding the sale and consumption of shark fins, and incentivize responsible fisheries and lab-cultured innovation for delivering conservation and sustainability goals. </li> <li>In addition, message framing around health benefits, shark endangerment and counterfeiting could reinforce existing beliefs amongst consumers in Singapore and drive behavioral shifts to ensure that market demand remains within the limits of sustainable supply. </li> </ol> <p>This dataset includes all the responses collected from the online discrete choice experiment which was implemented by a market survey company, as well as the goodness-of-fit chi-square analyses. These data were also used to plot the figures in the manuscript and the Supplemental Information. Password for excel sheet titled 'Final CEOE data' is 35433. Please refer to the published manuscript for more detailed information.</p> <p><strong>The authors received financial support from Silverstrand Capital awarded to Wildlife Conservation Society for the research, authorship, and publication of this work. </strong></p>
Info about bidding (market data)
<p>The SLO_BIDDING_DATA dataset includes data regarding tendered bids, accepted bids and price of capacity bids (monthly aggregates). It is intended for market players and system operators to follow the prices on the market and amount of purchased flexibility. </p> <p>Two data sets in the CIM XML format are available with information about bidding for DSOs. One document is covering the process type "congestion management", the other for "voltage control". Due to CGMES being TSO oriented, some attributes are missing to fully describe DSO processes. Therefore we had to extend the attribute "processType" to cover DSO needs.</p> <p>Addition information about the Slovenian demo is available in the OneNet 10.4 deliverable (<a href="https://www.onenet-project.eu//wp-content/uploads/2023/10/OneNet_D10.4_V1.0.pdf">OneNet_D10.4_V1.0.pdf (onenet-project.eu)</a>).</p> <p>XSD is compliant with ReserveBid_Document defined by ENTSO-E (<a href="https://eepublicdownloads.entsoe.eu/clean-documents/EDI/Library/cim_based/schema/Reserve_bid_document_UML_model_and_schema_v1.2.pdf">Reserve bid document UML model and schema (entsoe.eu)</a>).</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.