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14 results for “reference point”
Wind power plants layouts according to arbitrary reference points, Thanet, West of Duddon Sands, Ormonde, Westermost Rough, Horns Rev 1 & 2, Anholt, and London Array
<p><strong>If this dataset helps your research, please cite it and the papers further below (according to which OWPP you study).</strong></p> <p>This dataset contains the layouts of the Thanet, West of Duddon Sands, Ormonde, Westermost Rough, Horns Rev 1 & 2, Anholt, and London Array offshore wind power plants (OWPPs), which can be utilized in a variety of studies. </p> <p>The X and Y coordinates, in kilometers, were written according to arbitrary reference points. The positions of wind turbine generators (WTGs) and substations (SS) for the OWPPs came from the sources below.</p> <p><strong>Thanet</strong>: WTGs from [1] (page 7), SS based on [3] (page 9).<br><strong>West of Duddon Sands</strong>: WTGs from [2] (page 5), SS based on [3] (page 9).<br><strong>Ormonde</strong>: WTGs and SS from [4] (page 2).<br><strong>Westermost Rough</strong>: WTGs and SS from [5] (page 4).<br><strong>Horns Rev 1</strong>: WTGs and SS from [6] (page 6).<br><strong>Horns Rev 2</strong>: WTGs and SS from [7] (page 5).<br><strong>Anholt</strong>: WTGs and SS from [8] (page 3).<br><strong>London Array</strong>: WTGs from [9] (page 15), SS based on [10] (page 2).</p> <p>From the OWPPs' layout figures [1-9], I used Graph Grabber 2.0.2* to extract the data points. Then, based on visual inspection of layouts in [1-9], I utilized 2D projections to align WTGs that should be aligned. References [1], [2], and [9] do not provide the SS positions. Thus, I carefully overlapped the layouts with other layouts from [3] and [10] to approximate the SS locations.</p> <p>Regarding the arbitrary reference points for the coordinates, although the values in the X and Y axes differ from [1-9], note that the distances among the WTGs are the same from [1-9]. Furthermore, there are no axes in [1,5]. Instead, distances are given, which are enough to obtain the layout. Values in meters were converted to kilometers.</p> <p>As seen in the attachments, the coordinates can be obtained via either "h5" or "csv" files, which can be easily read by Matlab, Julia, and Python, among others. <strong>The name of the datasets in the "h5" file are</strong>: "Thanet", "WDS", "Ormonde", "WMR", "HornsRev1", "HornsRev2", "Anholt", and "LondonArray".</p> <p><strong>Except for the London Array OWPP, the first row in all data matrices represents the SS coordinates, whereas the subsequent rows represent the WTGs. London Array has 2 substations, thus the first and second rows represent their coordinates. In all matrices, the first and second columns are the X and Y coordinates, respectively.</strong></p> <p>*<a href="https://www.quintessa.org/software/downloads-and-demos/graph-grabber-2.0.2">Graph Grabber 2.0.2 | Downloads And Demos | Software | Quintessa Limited | Scientific and Mathematical Consultancy</a></p>
Fed4Fire/CDN-X-ALL M3AP, M2AP reference points implementation pcap datatsets for the 3GPP MBMS profile
<p>Following datasets were generated at VICOMTECH (https://www.vicomtech.org) under project/experiment CDN-X-ALL: "CDN edge-cloud computing for efficient cache and reliable streaming aCROSS Aggregated unicast-multicast LinkS".</p> <p>Project funded by Fed4FIRE+ OC5 (<a href="https://www.fed4fire.eu/">https://www.fed4fire.eu</a>) under grant 732638.</p> <p>The following data provide reference pcap captures that include relevant traces with standardized 3GPP interfaces for the 3GPP MBMS (Multimedia Broadcast Multicast Services) profile.</p> <p>Among others, traces include E-UTRAN and Evolved Packet Core pcap captures with standardized 3GPP M2AP and M3AP interfaces and UE MBMS end to end MAC layer PDUs:</p> <p>1- MBMS_OAI_M3AP_M2AP.pcap</p> <p>- OAI eNB LTE; Evolved Universal Terrestrial Radio Access Network (E-UTRAN); M3 Application Protocol (M3AP) in between an MME (Mobility Management Entity) and MCE (Multicast Control Entity) (3GPP TS 36.444 version 14.1.0 Release 14)</p> <p>- OAI eNB LTE; Evolved Universal Terrestrial Radio Access Network (E-UTRAN); M2 Application Protocol (M2AP) in between an MCE (Multicast Control Entity) and eNB (Evolved NodeB) (3GPP TS 36.443 version 14.0.1 Release 14)</p> <p>2- oai_opt_ue_mbms_SIB13_MTCH_MCCH.pcap</p> <p>- OAI UE side LTE MAC and RRC messages</p> <p>Moreover, the above data can be self-re-generated by downloading and building the original open source code pushed (as part of CDN-X-ALL project) to OpenAirInteface5G gitlab open repository. At the time of publishing these data, the original source code falls under branch (https://gitlab.eurecom.fr/oai/openairinterface5g/tree/fed4fire_fec5_cdn-x-all) and is part of ongoing merge request (https://gitlab.eurecom.fr/oai/openairinterface5g/merge_requests/673)</p>
Labeled points for four land cover classes referring to the year 2019
<p>This dataset provides hand-labeled points for four different land cover classes in coastal areas (sand, seawater, grass, trees).</p> <p>It was created based on photointerpretation of high-resolution imagery in Google Earth Pro and QGIS, referring to the year 2019.</p> <p>This dataset was used for the random forest classification of satellite imagery in the following manuscript: </p> <p>"<em>Satellite image processing for the coarse-scale investigation of sandy coastal areas</em>".</p> <p>If you use any part of this dataset, please cite as follows:</p>
Dataset for a Feasibility Study for Accelerated Reference Point Determination Using Close Range Photogrammetry
<p>The Global Geodetic Observing System (GGOS) aims for an accuracy of 1 mm in position concerning a global geodetic reference frame such as the International Terrestrial Reference Frame (ITRF). To derive a global frame, several space geodetic techniques are combined. The combination procedure requires the geometric relations between the invariant reference points of these techniques, the so-called local tie vectors. Each space geodetic technique defines its reference point individually, so the determination of the position of the reference point varies significantly between techniques. Within the international GeoMetre project, measurement systems and analysis strategies are developed to improve the quality of local tie vectors and, thus, the quality of the resulting global frame.</p> <p>The use of close range photogrammetry to determine the reference point of a telescope used for Satellite Laser Ranging (SLR) at the GGOS core station Wettzell in September 2020 is considered as a milestone in this project. This contribution deals with a novel approach for an accelerated reference point determination using close range photogrammetry. In comparison to the conventional photogrammetric approach, published so far, this new approach leads to a significant reduction in recording time. However, in case of inappropriate measurement configuration the approach also bears the risk of biased results. Most importantly, the new approach has the potential to be automated, which is one of the primary calls of GGOS for reference point determinations.</p>
Fig. 1. Tsaganomyid cheek teeth showing reference points for measurements, A, B in On Tsaganomyidae (Rodentia, Mammalia) of Asia
Fig. 1. Tsaganomyid cheek teeth showing reference points for measurements, A, B. Lateral view of cheek teeth. A. p4. B. Other cheek teeth except p4. C–E. Occlusal view of cheek teeth. C. Upper cheek teeth. D, E. Lower cheek teeth. D. Less worn. E. More worn. Abbreviations are: h, enamel height; h1, enamel height on lingual side of upper teeth (buccal side of lower teeth); h2, on buccal side of upper teeth (lingual side of lower teeth); h3, enamel height between two roots on anterobuccal side on p4; L, Length; and W, width.
Text-fig. 8. Line drawings of third molars from the upper part of the Nagri Formation; 8a–b and 8e–g are referred to Karnimata fejfari, 8c and 8h are referred to Progonomys hussaini, and 8d represents Progonomys morganae. a) left m3 YGSP 34573, b) right m3 YGSP 34568, c) right m3 YGSP 34574, d) left M3 YGSP 34033 from Y 259, e) right M3 YGSP 34595, f) right M3 YGSP 34596, g) right M3 YGSP 33197 from Y 450, h) right M3 YGSP 34597. All teeth drawn to same scale, anterior is upward; black shading represents dentine exposed by wear; hatching on 8d represents breakage. in Early Late Miocene Murine Rodents From The Upper Part Of The Nagri Formation, Siwalik Group, Pakistan, With A New Fossil Calibration Point For The Tribe Apodemurini (Apodemus/Tokudaia)
Text-fig. 8. Line drawings of third molars from the upper part of the Nagri Formation; 8a–b and 8e–g are referred to Karnimata fejfari, 8c and 8h are referred to Progonomys hussaini, and 8d represents Progonomys morganae. a) left m3 YGSP 34573, b) right m3 YGSP 34568, c) right m3 YGSP 34574, d) left M3 YGSP 34033 from Y 259, e) right M3 YGSP 34595, f) right M3 YGSP 34596, g) right M3 YGSP 33197 from Y 450, h) right M3 YGSP 34597. All teeth drawn to same scale, anterior is upward; black shading represents dentine exposed by wear; hatching on 8d represents breakage.
Text-fig. 7. Molars referred to Karnimata fejfari sp. nov. from type locality Y 311. Right M2, a) YGSP 34588 and b) 54187, buccal upward. Lower teeth c) YGSP 34528 and d) 36166 both left m1, and e) 36170 and f) 54176, left and right m2; c–f figured lingual side upward. All teeth same scale. in Early Late Miocene Murine Rodents From The Upper Part Of The Nagri Formation, Siwalik Group, Pakistan, With A New Fossil Calibration Point For The Tribe Apodemurini (Apodemus/Tokudaia)
Text-fig. 7. Molars referred to Karnimata fejfari sp. nov. from type locality Y 311. Right M2, a) YGSP 34588 and b) 54187, buccal upward. Lower teeth c) YGSP 34528 and d) 36166 both left m1, and e) 36170 and f) 54176, left and right m2; c–f figured lingual side upward. All teeth same scale.
Natural grasslands across mainland France: a dataset including a 10 m raster and ground reference points
<p>The data provided here include the first 10 m raster of natural grasslands across mainland France and related ground reference points. The latter consist of 1,770 field observations that describe natural and artificial grasslands from respectively a compilation of hundreds of field-based vegetation maps and the European Union Land Parcel Identification System (LPIS). The raster data of natural grasslands were derived from five annual 10 m land cover maps of France from 2016-2020.</p> <p>More details can be found on the following reference : Panhelleux, L., Rapinel, S., Hubert-Moy, L., 2023. Natural grasslands across mainland France: a dataset including a 10 m raster and ground reference points. Data in Brief 109348. https://doi.org/10.1016/j.dib.2023.109348</p>
Stratification reference points for Luhansk region tree cover change (1996,2000,2013,2020)
<p><strong>Occupation of Environment: Long-Term Consequences of war in Ukraine on conservation of forested areas of Emerald Network in the Luhansk region - </strong>Generated sample points that reflect stratification type and landcover change for Luhansk region for tree cover change area estimation. The division into territories controlled by Ukraine and Russia made based on the demarcation line with consideration of the buffer zone, where Ukrainian institutions were disconnected due to the active warfare in purpose of separation of zones with interruption of Ukrainian environmental policies.</p>
Dataset for A Modified Approach for Process-Integrated Reference Point Determination
<p>The Global Geodetic Observing System (GGOS) calls for continues and automated determination of the geometric reference points of space-geodetic techniques such as DORIS, GNSS, SLR and VLBI. Whereas the reference points of DORIS beacons and GNSS antennas can simply be measured by observing well-defined reference markers, the determination of SLR and VLBI reference points are a metrological challenge, because these reference points are inaccessible and non-materialized. Indirect methods are needed to estimate the reference points in a rigorous way, which fulfil the requirements on an automated and continues reference point determination of the Global Geodetic Observing System. In this investigation, a modified approach for reference point determination of SLR and VLBI telescopes is presented. The results of the new approach are compared to proven reference point models. The numerical deviations of the estimated reference point coordinates and the axis-offset are <<50 μm and demonstrate the equivalence of the new approach.</p>
Reference Mesh and Point Cloud
<p>Data Structure</p><p>gt_mesh.ply (cleaned reference mesh)</p><p>gt_pd.ply (reference faro scanner point cloud)</p><p>icp_kinect (the transformation matrix that is used to transform Kinect pose stored in transformation_colmap.json to align with the gt_mesh/pd )</p><p>icp_iphone (the transformation matrix that is used to transform iPhone pose stored in transformation_colmap.json to align with the gt_mesh/pd )</p>
FIGURE 1 in Keratose sponge MuseOMICS: setting reference points in dictyoceratid demosponge phylogeny
FIGURE 1. Maximum Likelihood phylogram of concatenated ITS and 28S sequences from type material of type species for dictyoceratid genera. Numbers at branches are bootstrap values> 50%. Taxon names in bold depict sequences yielded in the course of the target capturing approach as described here. Species names are followed by museum voucher number and type status. The tree is rooted with Candidaspongia flabellata Bergquist, Sorokin & Karuso, a dysideid Dictyoceratida. Scale bar represents substitutions / site.
Diagnostic and Translational Values of Point-of-care Blood Eosinophils and Exhaled Nitric Oxide (FeNO) in People Referred by Primary Care for Suspected Asthma
ClinicalTrials.gov study NCT05992519. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Reference Range Analysis of the Entegrion Point of Care Coagulation Monitor (PCM™) in Healthy Volunteers
ClinicalTrials.gov study NCT03133351. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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