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ShareScore release 0.9.0
Dataset results
15 results for “CCUS”
CCUS Sentiment Analysis - Tweets Dataset
<p>The present dataset contains Tweets in any language supported by Twitter obtained during the months January to March 2023, with any mention to the topic CCS/CCUS. The scraping process were done in Python, using the official Twitter API. All tweets were manually annotated after being machine translated into English.</p> <p><strong>- Structure </strong><br>Every row contains: <br>1st cell (A): Language <br>2nd cell (B): Tweet-text <br>3rd cell (Cc: Benefit <br>4th cell (D): Concern <br>5th cell (E): Perception – Fight climate change <br>6th cell (F): Perception – Climate-friendly technology <br>7th cell (G): Perception – Extensive R&D needed <br>8th cell (H): Perception – Better options than CCS <br>9th cell (I): Sentiment <br>10th cell (J): Relatedness <br>11th cell (K): Comments </p> <p><strong>- Annotations </strong><br><strong>Benefit </strong><br>Preventing c. change <br>Reducing c. change risks <br>Safeguarding jobs <br>Creating new jobs <br>Fossil energy production envir. friendly <br>Products envir. friendly <br>Reducing envir. impact <br>Other <br>None <br><strong>Concern </strong><br>Accidents <br>Leakages <br>Environmental <br>Earthquake-related <br>Increased local traffic <br>Investment <br>Greenwashing <br>Lock-in effects for fossil energy <br>Increase cost <br>Other <br>None <br><strong>Perception (Yes / No / None) </strong><br>Fight climate change <br>Climate-friendly technology <br>Extensive R&D needed <br>Better options than CCS <br><strong>Sentiment </strong><br>Positive <br>Negative <br>Neutral </p>
REALISE: Enabling full-chain CCUS for refineries through cluster-based strategies
<p>Refineries play a major role in our modern lifestyles, creating an almost infinite range of everyday products. Alongside other industries, they face the challenge to decarbonise as part of Europe’s wider efforts to meet climate targets by 2030. </p> <p>This webinar introduced the REALISE CCUS project, an international partnership of industry and scientists working to support the delivery of carbon capture, utilisation and storage (CCUS) technology for the refinery sector. </p> <p>Our research, funded by the European Union's Horizon 2020 programme, focuses on the full CCUS chain – from CO<sub>2</sub> capture, transport and geological CO<sub>2</sub> storage to CO<sub>2</sub> reuse – for clusters which include refineries and other industries. </p> <p>Specifically, we aim to demonstrate CCUS technology, enable sizeable cost-reductions, undertake public engagement and assess financial, political and regulatory barriers. </p> <p>Programme:</p> <ul> <li>Welcome & intro – Inna Kim, SINTEF (5 mins) </li> <li>Optimising and validating technologies for refineries (WP1) – Solrun Vevelstad, SINTEF (10 mins) </li> <li>Demonstrating pilot-scale CO<sub>2</sub> capture with optimised solvent (WP2) – Juliana Monteiro, TNO (10 mins) </li> <li>Assessing potential for CCUS at oil refineries within clusters (WP3) – Pádraig Fleming, Ervia (10 mins) </li> <li>Social, political and commercial context for CCS deployment (WP4) – Niall Dunphy, UCC (10 mins) </li> <li>Q&A (15 mins) </li> </ul>
REALISE CCUS webinar #3: The Cork Cluster study
<p>This webinar provides an overview of findings from a recent study of the Cork industrial cluster in Ireland. Participants will hear details of the industries involved: ESB Aghada and BGE Whitegate generation stations and Irving Oil Whitegate Refinery. There will be details of the role of carbon capture and storage (CCS) and how this might be configured, from the point of CO<sub>2</sub> capture to transport and long-term geological storage. Cost-benefit analysis will also be considered and there will be a discussion of different approaches to public engagement and best practices that influence the social acceptability of CCS projects.</p> <p>This free online event will be chaired by Inna Kim of SINTEF (REALISE Project Coordinator) and features presentations by Paul Murphy of Ervia (REALISE Work Package 3 Lead) and Paola Velasco-Herrejón of University College Cork (REALISE Work Package 4). There will be a 20-minute Q&A.</p>
Data used for modeling in Energy-water-land-CCUS nexus model: carbon dioxide opportunities based on optimized regional development
<p>In this dataset, the data used for modeling technologies in an energy-water-land-CCUS nexus model in Khark Island in Iran, and the main sources for gathering them are presented.</p>
The CCUS Based Characteristic of Hemodynamic and Lung Pathology in Early Stage of Shock in ICU: The Epidemic and Prognostic Value
ClinicalTrials.gov study NCT03082326. IPD Sharing: NO. Countries: 1. Publications: 8.
EmploYEd Antithrombotic Therapies in Patients With Acute Coronary Syndromes HOspitalized in iTalian CCUs
ClinicalTrials.gov study NCT06316128. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Ascorbic Acid and Chemotherapy for the Treatment of Relapsed or Refractory Lymphoma, CCUS, and Chronic Myelomonocytic Leukemia
ClinicalTrials.gov study NCT03418038. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Early Intervention in High Risk CCUS
ClinicalTrials.gov study NCT06802146. IPD Sharing: YES. Countries: 1. Publications: 0.
Statins in Patients With Clonal Cytopenia of Undetermined Significance (CCUS) and Myelodysplastic Syndromes (MDS)
ClinicalTrials.gov study NCT05483010. IPD Sharing: YES. Countries: 1. Publications: 0.
Repurposing Metformin As a Leukemia-preventive Drug in CCUS and LR-MDS
ClinicalTrials.gov study NCT04741945. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Follow-up Study of ICUS and CCUS Patients
ClinicalTrials.gov study NCT04428489. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Gene expression profile at single cell level of BM MNCs and NK/T cells from CCUS patients and healthy donors
GEO Series GSE276360. Homo sapiens. 23 samples. Type: Expression profiling by high throughput sequencing.
Targeted DNA and surface protein sequencing at single cell level of BM MNCs and PB MNCs from CCUS patients
GEO Series GSE276492. Homo sapiens. 5 samples. Type: Other.
Gene expression profile at single cell level of BM MNCs from CCUS patients and healthy donors
GEO Series GSE276974. Homo sapiens. 16 samples. Type: Expression profiling by high throughput sequencing.
Consequential Carbon Accounting Scenarios: CCUS Mexico
<p>This dataset presents the models for a consequential carbon accounting method as a time series for evaluating a hypothetical Carbon Capture, Utilisation and Storage (CCUS) project in the Southeast Region of México. The CO2 source is the Dos Bocas Refinery; CO2 utilisation for EOR considers two injection strategies (Water Alternating Gas and Continous Gas Injection); two different scenarios for the energy mix for Mexico´s context were considered (National Strategy on Climate Change and Sustainability):</p> <p>Scenario 1: WAG+NSCC</p> <p>Scenario 2: CGI + Sustainability</p> <p>Scenario 3: WAG+Sustainability</p> <p>Scenario 4: CGI+NSCC</p> <p> </p>
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International Brain Laboratory public data
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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.