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62 results for “RTS,S”
Modified pool system based on the IEEE RTS-96 system incl. 39 wind power producers
<p>This is the data-set associated with the numerical simulations in the paper "A. Papakonstantinou, P. Pinson, <em>Population Dynamics for Renewables in Electricity Markets: A Minority Game View</em>". The paper will be presented in 2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) in Oct. 16-20, 2016 in Beijing, China.</p> <p>We modify the original data-set [1] by adding the marginal costs for conventional generation introduced by [2] and flexible generators capable of providing up and down regulation following [3]. The cost of up-regulation is assumed to be 10% higher than the day-ahead cost and the cost of down-regulation 9% less than the day-ahead ahead costs.</p> <p>Furthermore, regarding stochastic generation, we assume zero marginal and cost free spilling action, while load shedding induces a cost of 1000 EUR/MWh. Finally, we assume that the total demand is at 80% of the conventional generation [3], while the total capacity of the 39 stochastic producers is at 30% of the demand.</p> <p>Within the data file the specific data used for the analysis in the paper are under pes_input().</p> <p>[1] IEEE RTS Task Force of APM Subcommittee, “The ieee reliability test system-1996.” IEEE Transactions on Power Systems, vol. 14, no. 3, pp. 1010–1020, 1999.</p> <p>[2] D. Kirschen. Unit commitment data for modernized ieee rts-96. Accessed: 10-03-2016. [Online]. Available: http://www.ee.washington.edu/research/real/library.html</p> <p>[3] A. J. Conejo, M. Carri ́on, and J. M. Morales, Decision Making Under Uncertainty in Electricity Markets. Springer, 2010.</p> <p> </p> <p> </p> <p> </p> <p> </p>
A dataset for intact LTR-RTs
<p>We organize 241,171 intact LTR-RTs. They were annotated and filtered from 218 plants.</p>
Retrogressive thaw slump (RTS) inventory in central Qinghai-Tibet Plateau (northwest of Beiluhe basin)
<p>A new retrogressive thaw slump (RTS) inventory in central Qinghai–Tibet Plateau (QTP) were generated based on visual interpretation of nine satellite images (WV-2, Google Earth image, Ziyuan-3, Gaofen-2, Gaofen-1) and field investigations. A total 459 RTSs were confirmed with an accumulative area of 1199.49 ha (in time slice of 2018-2020). To reduce the uncertainty in identifying the RTS boundaries, all of the images were spatially corrected based on a reference image, which was obtained on 29 December 2015. The RTS inventory published by Luo et al., (2022) and Xia et al., (2022) were refered when we conduct visual interpretation. Note: the RTSs were distingusihed into active RTSs (TYPE=Y) and non-active RTSs (TYPE=N). Those RTSs were neither active nor non-active RTSs when their area increase vary from 0 to 0.01 ha or less than 0 (TYPE=T). The field named "area_ha", "perime_km" are the area and perimeter of the RTSs in the attribute tables of shapefiles. The units of area and perimeters are hectare (ha) and kilometer (km), respectively. The field named "type" indicates the status of RTSs. The "Y" and "N" are means the RTS is belongs to active RTS and non-active, respectively.</p>
RTS_Spring 2023 TBEST Data
<p>This dataset was collected through automatic passenger counters for Spring 2023 for all RTS routes. This data can be used to generate a GTFS_ridership.txt file.</p>
Efficacy of RTS,S/AS01 Vaccine Against Episodes of Malaria Due to P. Falciparum Infection in Children.
ClinicalTrials.gov study NCT00380393. IPD Sharing: YES. Countries: 2. Publications: 7.
Study to Assess the Vaccine Efficacy Against Malaria Infection, in Children Immunized With the Primary and Yearly Booster of the RTS,S/AS01E Vaccine, as Part of Their Participation in the Malaria-094
ClinicalTrials.gov study NCT03281291. IPD Sharing: NO. Countries: 2. Publications: 1.
Safety, Immunogenicity of RTS,S/AS02A, and RTS,S/AS01B Malaria Vaccines in Malaria-experienced Adults.
ClinicalTrials.gov study NCT00197054. IPD Sharing: YES. Countries: 1. Publications: 1.
Study of Malaria Vaccine RTS,S/AS01E in Plasmodium Falciparum-infected and Uninfected Adults Pre-treated With Anti-malarial Therapy
ClinicalTrials.gov study NCT04661579. IPD Sharing: NO. Countries: 1. Publications: 17.
A Study of Ad-RTS-hIL-12 With Veledimex in Combination With Nivolumab in Subjects With Glioblastoma; a Substudy to ATI001-102
ClinicalTrials.gov study NCT03636477. IPD Sharing: Not stated. Countries: 1. Publications: 1.
A Study of Ad-RTS-hIL-12 With Veledimex in Subjects With Glioblastoma or Malignant Glioma
ClinicalTrials.gov study NCT02026271. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Study of Ad-RTS-hIL-12 + Veledimex in Combination With Cemiplimab in Subjects With Recurrent or Progressive Glioblastoma
ClinicalTrials.gov study NCT04006119. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Seasonal Malaria Vaccination (RTS,S/AS01) and Seasonal Malaria Chemoprevention (SP/AQ) Extension Study
ClinicalTrials.gov study NCT04319380. IPD Sharing: YES. Countries: 2. Publications: 1.
Seasonal Malaria Vaccination (RTS,S/AS01) and Seasonal Malaria Chemoprevention (SP/AQ)
ClinicalTrials.gov study NCT03143218. IPD Sharing: YES. Countries: 2. Publications: 24.
Enhanced IEEE RTS-96 test case w/ synthesized dynamic parameters
<p>Enhanced IEEE RTS-96 test case w/ synthesized dynamic parameters<br /> Compatible with Siemens PTI PSS/E v33, adapted from Grigg et al., 1999</p> <p>Salient generator models<br /> IEEE T1 exciter models<br /> IEEE G2 governor models</p>
Libraries of LTR-RTs from different tools
<p>LTR libraries including the output from following tools:</p> <ul> <li>Inpactor2</li> <li>LTR_harvest</li> <li>LTR_finder</li> <li>LTR_detector</li> <li>LTR_retriever</li> <li>FiLTR (referred to as HybridLTR in the file)</li> </ul> <p>For<strong> Inpactor2, LTR_harvest, LTR_finder, and LTR_detector</strong>, we first partition their intact LTR-RTs into terminal and internal sequences. We then use <strong>cd-hit-est</strong> with parameters <code>-aS 0.95 -aL 0.95 -c 0.8</code> to generate consensus sequences.</p> <p>Since <strong>LTR_retriever </strong>and <strong>FiLTR</strong> can accept outputs from tools such as <strong>LTR_harvest, LTR_finder, and LtrDetector,</strong> as input, we have tested all kinds of input combinations.</p>
The retrogressive thaw slump (RTS) inventory in permafrost region of the QTP
<p>This dataset contain the retrogressive thaw slump (RTS) inventory in permafrost region of the Qinghai–Tibet Plateau (QTP) based on field investigations and the manual interpretation of the Gaofen-1 and Gaofen-2 images. RTSs were visually detected based on the presence of recently exposed sediments, poorly developed vegetation, and distinct headwalls. To avoid misdelineation of the RTS, the entire permafrost region of the QTP was divided into a large number of grids measuring 5 × 5 km each. Grids with slope degrees below 1° or higher than 15° were excluded because RTSs are rarely found at these slopes according to our previous study and field investigations. RTSs in the remaining grids were detected and sketched by the first author and then examined by at least two other experienced authors. Once a RTS was identified, it was assigned a unique number and classified based on its initiation such as next to a river (R), by lake erosion (L), and after the occurrence of active-layer detachment slide.</p>
RTS Spring 2023 Route 2 Ride Check Data Set
<p>This data set contains ride check data for Route 2 for March, 2023. The ride check data set contains fields for Stop ID, Stop Name, Stop Seq ID, Day of Week, Date, Arrive, Passenger On, Passenger Off, Passenger Load, Passenger Miles, Interstop Distance, Bus, Lat., Long. The data set was requested and given from the Regional Transit System of Gainesville, Florida.</p>
Spring 2023 RTS Route 1 Ride Check Data Set
<p>This data set contains ride check data for Route 1 from January to March, 2023. The ride check data set contains fields for Stop ID, Stop Name, Stop Seq ID, Day of Week, Date, Arrive, Passenger On, Passenger Off, Passenger Load, Passenger Miles, Interstop Distance, Bus, Lat., Long. The data set was given by request from the Regional Transit System of Gainesville, Florida.</p>
RTS Spring 2023 Route 11 Ride Check Data Set
<p>This data set contains ride check data for Route 11 for March, 2023. The ride check data set contains fields for Stop ID, Stop Name, Stop Seq ID, Day of Week, Date, Arrive, Passenger On, Passenger Off, Passenger Load, Passenger Miles, Interstop Distance, Bus, Lat., Long. The data set was requested and given from the Regional Transit System of Gainesville, Florida.</p>
RTS Spring 2023 Route 3 Ride Check Data Set
<p>This data set contains ride check data for Route 3 for March, 2023. The ride check data set contains fields for Stop ID, Stop Name, Stop Seq ID, Day of Week, Date, Arrive, Passenger On, Passenger Off, Passenger Load, Passenger Miles, Interstop Distance, Bus, Lat., Long. The data set was requested and given from the Regional Transit System of Gainesville, Florida.</p>
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