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24 results for “ILRS”

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zenodo36/100

QMex-ILR dataset

<p>Datasets for evaluation of extrapolative prediction of molecular properties&nbsp;with&nbsp;ML/DL models and QMex-ILR</p>

opencc-by-4.0Jul 2023View details →
zenodo32/100

Datensatz zur Bestimmung des ILRS-Referenzpunktes am Satellite Observing System Wettzell

<p>Die Kombination von geod&auml;tischen Raumtechniken ist essentiell f&uuml;r die Bestimmung eines globalen geod&auml;tischen Referenzrahmens sowie von Erdrotationsparametern. Eine direkte Verkn&uuml;pfung der unterschiedlichen Raumtechniken ist aufgrund der geringen physischen Verkn&uuml;pfungen nicht ohne Zusatzinformationen sinnvoll m&ouml;glich. Eine Schl&uuml;sselrolle&nbsp;spielen hierbei lokale Verbindungsvektoren (Local-Ties), die zwischen den geometrischen Referenzpunkten der Raumtechniken definiert sind. Diese Verbindungsvektoren lassen sich an Forschungseinrichtungen wie dem Geod&auml;tischen Observatorium Wettzell durch pr&auml;zise terrestrische Vermessung bestimmen. Eine besondere Herausforderung stellen hierbei die Referenzpunkte von VLBI-Radio- und SLR-Laserteleskopen dar, da diese nicht materialisiert und direkt taktil bestimmt werden k&ouml;nnen.<br> In diesem Beitrag wird eine indirekte Methode zur Bestimmung des geometrischen Referenzpunktes eines VLBI-Radio- bzw. SLR-Laserteleskopes vorgestellt. Das entwickelte&nbsp;Modell erlaubt eine automatisierte und prozessbegleitende messtechnische Erfassung aller&nbsp;relevanten Gr&ouml;&szlig;en. Der neue Modellansatz erfordert dar&uuml;ber hinaus keine Synchronisation&nbsp;zwischen dem Messinstrument und dem Teleskop, sodass Messunsicherheiten minimiert&nbsp;werden. Eine erfolgreiche Validierung erfolgte 2018 am Satellite Observing System Wettzell,&nbsp;bei der die Datenerhebung vollst&auml;ndig automatisiert mit dem Lasertracker AT401&nbsp;durchgef&uuml;hrt wurde, und der Referenzpunkt mit einer Unsicherheit von 50 &mu;m bestimmt werden konnte.</p>

opencc-by-4.0Aug 2020View details →
ClinicalTrials.gov32/100

ILR to Prevent BRCL_MCC 23608

ClinicalTrials.gov study NCT07127003. IPD Sharing: NO. Countries: 1. Publications: 2.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

"Cryptogenic Stroke and Atrial Fibrillation Detection Through Implantable Loop Recorder (ILR)"

ClinicalTrials.gov study NCT01025947. IPD Sharing: Not stated. Countries: 1. Publications: 9.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Role of Novel ILR in the Management of PVCs

ClinicalTrials.gov study NCT06060548. IPD Sharing: NO. Countries: 1. Publications: 17.

closedIPD-NOFeb 2026View details →
zenodo28/100

Figure 5 from: Sampaio ILR, Santos CP, França RC, Pedrosa IMMC, Solé M, França FGR (2018) Ecological diversity of a snake assemblage from the Atlantic Forest at the south coast of Paraíba, northeast Brazil. ZooKeys 787: 107-125. https://doi.org/10.3897/zookeys.787.26946

Figure 5 Species from the Atlantic Forest in south coast of Paraíba: APhilodryaspatagoniensisBPhimophisgueriniCSibonnebulatusDSibynomorphusmikaniiETaeniophallusoccipitalisFXenodonmerremiiGMicrurusibibobocaHMicruruspotyguaraIEpictiaborapeliotesJAmerotyphlopsbrongersmianusKBothropsleucurusLCrotalusdurissus. Photograph credits: Ivan L. Sampaio (A, B, D, E, H, I), Frederico G. França (F, G, J, L), Pedro T. S. Moura (C) Rafaela C. França (K).

opencc-by-4.0Oct 2018View details →
zenodo28/100

Figure 3 from: Sampaio ILR, Santos CP, França RC, Pedrosa IMMC, Solé M, França FGR (2018) Ecological diversity of a snake assemblage from the Atlantic Forest at the south coast of Paraíba, northeast Brazil. ZooKeys 787: 107-125. https://doi.org/10.3897/zookeys.787.26946

Figure 3 Phytophisiognomies of Atlantic Forest in south coast of Paraíba. A Forest B Restinga C Savanna enclave (Tabuleiro). Photograph credits: Ivan L. Sampaio (A, B), Frederico G. França (C).

opencc-by-4.0Oct 2018View details →
zenodo28/100

Figure 2 from: Sampaio ILR, Santos CP, França RC, Pedrosa IMMC, Solé M, França FGR (2018) Ecological diversity of a snake assemblage from the Atlantic Forest at the south coast of Paraíba, northeast Brazil. ZooKeys 787: 107-125. https://doi.org/10.3897/zookeys.787.26946

Figure 2 Variation of temperature, maximum (line with square) and minimum (line with triangle), precipitation as bars. Data from January 2012 and December 2013 (Source: INMET, http://www.inmet.gov.br/portal/index.php?r=bdmep/bdmep).

opencc-by-4.0Oct 2018View details →
zenodo28/100

Figure 1 from: Sampaio ILR, Santos CP, França RC, Pedrosa IMMC, Solé M, França FGR (2018) Ecological diversity of a snake assemblage from the Atlantic Forest at the south coast of Paraíba, northeast Brazil. ZooKeys 787: 107-125. https://doi.org/10.3897/zookeys.787.26946

Figure 1 Schematic map showing the south coast of Paraíba state. Detail box: Barra de Gramame, located in the municipality of João Pessoa. The numbers represent the following municipalities: 1 João Pessoa 2 Conde 3 Alhandra 4 Pitimbu 5 Caaporã and 6 Pedras de Fogo.

opencc-by-4.0Oct 2018View details →
zenodo28/100

Figure 6 from: Sampaio ILR, Santos CP, França RC, Pedrosa IMMC, Solé M, França FGR (2018) Ecological diversity of a snake assemblage from the Atlantic Forest at the south coast of Paraíba, northeast Brazil. ZooKeys 787: 107-125. https://doi.org/10.3897/zookeys.787.26946

Figure 6 Individual-based rarefaction curve with standard deviation of snake species of south coast of Paraíba.

opencc-by-4.0Oct 2018View details →
zenodo28/100

Figure 4 from: Sampaio ILR, Santos CP, França RC, Pedrosa IMMC, Solé M, França FGR (2018) Ecological diversity of a snake assemblage from the Atlantic Forest at the south coast of Paraíba, northeast Brazil. ZooKeys 787: 107-125. https://doi.org/10.3897/zookeys.787.26946

Figure 4 Species from the Atlantic Forest in south coast of Paraíba. ABoaconstrictorBEpicratesassisiCCorallushortulanusDChironiusflavolineatusEOxybelisaeneusFMastigodryasbifossatusGSpilotespullatusHTantillamelanocephalaIErythrolamprustaeniogasterJHelicopsangulatusKHydrodynastesgigasLOxyrhopuspetolariusMOxyrhopustrigeminusNPhilodryasnattereriOPhilodryasolfersii. Photograph credits: Ivan L. Sampaio (A, B, C, E, K, L, M, N, O), Frederico G. França (D, H, I, J), Mayara Morais (F), Willianilson Pessoa (G).

opencc-by-4.0Oct 2018View details →
ClinicalTrials.gov24/100

Can ILR Reduce the Risk of Arm Lymphedema?

ClinicalTrials.gov study NCT05742945. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
nasa24/100

Satellite Laser Ranging (SLR) ILRS Report Exploder distributing regular mission related reports.

SLReport is a mail exploder to distribute regular mission related reports (e.g., campaign status reports, weekly LAGEOS reports, etc.). Each individual message is automatically numbered sequentially and archived for reference.

restrictednotspecifiedApr 2025View details →
nasa24/100

Satellite Laser Ranging (SLR) ILRS Orbit Prediction Product (multi-day, daily, and sub-daily files) from NASA CDDIS

This derived product set consists of Satellite Laser Ranging Predicted Orbit Product (daily files in Consolidated Prediction Format, or CPF) from the NASA Crustal Dynamics Data Information System (CDDIS). SLR provides unambiguous range measurements to mm precision that can be aggregated over the global network to provide very accurate satellite orbits, time histories of station position and motion, and many other geophysical parameters. SLR operates in the optical region and is the only space geodetic technique that measures unambiguous range directly. Analysis of SLR data contributes to the terrestrial reference frame, modeling of the spatial and temporal variations of the Earth's gravitational field, and monitoring of millimeter-level variations in the location of the center of mass of the total Earth system (solid Earth-atmosphere-oceans). In addition, SLR provides precise orbit determination for spaceborne radar altimeter missions. It provides a means for sub-nanosecond global time transfer, and a basis for special tests of the Theory of General Relativity.

restrictednotspecifiedApr 2025View details →
nasa24/100

Satellite Laser Ranging (SLR) ILRS Combination Center (CC) Orbit Product (weekly files, generated weekly) from NASA CDDIS

This derived product set consists of Satellite Laser Ranging Final Orbit Product (weekly files, generated weekly) from the NASA Crustal Dynamics Data Information System (CDDIS). SLR provides unambiguous range measurements to mm precision that can be aggregated over the global network to provide very accurate satellite orbits, time histories of station position and motion, and many other geophysical parameters. SLR operates in the optical region and is the only space geodetic technique that measures unambiguous range directly. Analysis of SLR data contributes to the terrestrial reference frame, modeling of the spatial and temporal variations of the Earth's gravitational field, and monitoring of millimeter-level variations in the location of the center of mass of the total Earth system (solid Earth-atmosphere-oceans). In addition, SLR provides precise orbit determination for spaceborne radar altimeter missions. It provides a means for sub-nanosecond global time transfer, and a basis for special tests of the Theory of General Relativity. Analysis Centers (ACs) of the International Laser Ranging Service (ILRS) retrieve SLR data on regular schedules to produce precise orbits identifying the position and velocity of satellites equipped with retroreflectors. The ILRS Analysis Center Coordinators (ACC) uses these individual AC solutions to generate the official ILRS final combined orbit products, as well as backup combination. The final products are considered the most consistent and highest quality ILRS solutions; they consist of weekly orbit files, generated on a weekly basis with a typical delay of 3 days. All orbit solution files utilize the extended standard product-3 (SP3) format and span 7 days from 00:00 to 23:45 UTC.

restrictednotspecifiedApr 2025View details →
nasa24/100

Satellite Laser Ranging (SLR) International Laser Ranging Service (ILRS) Data Handling Files

In the ILRS network, there are mobile systems and permanent systems. Mobile ILRS systems usually occupy (i.e. are referenced to) a ground monument/mark and have an associated set of non-zero eccentricities. System eccentricities are defined as the offsets (usually less than 15 meters) from the ground monument/mark to the optical reference point of the system (i.e. intersection of axes) and are measured in North, East, and Up or in Cartesian coordinates, X, Y, and Z. Mobile systems are assigned a CDP number for the monument that it is occupying. In turn, the IERS assigns a DOMES number for the monument containing a 'M'. The 'M' indicates the presence of a physical Monument. A given monument may be occupied by more than one system or may be occupied by the same system multiple times, but never during the same time period. Therefore, for a given monument and time period, there will be a unique set of eccentricities.Permanent systems were designed to stay in one place and usually do not occupy a ground monument/mark. In this case, the CDP number is assigned to the optical axes of intersection. In turn, the IERS assigns a DOMES number containing a 'S'. The 'S' indicates the reference to the System's optical axes. In this case, the system eccentricities are by definition ZERO. In the rare occasion that a permanent system or its intersection of axes is relocated, then a new CDP and IERS DOMES number will be assigned for each relocation.

restrictednotspecifiedAug 2025View details →
nasa24/100

Satellite Laser Ranging (SLR) ILRS Analysis Center (AC) Orbit Product (weekly files, generated weekly) from NASA CDDIS

This derived product set consists of Satellite Laser Ranging Final Orbit Product (weekly files, generated weekly) from the NASA Crustal Dynamics Data Information System (CDDIS). SLR provides unambiguous range measurements to mm precision that can be aggregated over the global network to provide very accurate satellite orbits, time histories of station position and motion, and many other geophysical parameters. SLR operates in the optical region and is the only space geodetic technique that measures unambiguous range directly. Analysis of SLR data contributes to the terrestrial reference frame, modeling of the spatial and temporal variations of the Earth's gravitational field, and monitoring of millimeter-level variations in the location of the center of mass of the total Earth system (solid Earth-atmosphere-oceans). In addition, SLR provides precise orbit determination for spaceborne radar altimeter missions. It provides a means for sub-nanosecond global time transfer, and a basis for special tests of the Theory of General Relativity. Analysis Centers (ACs) of the International Laser Ranging Service (ILRS) retrieve SLR data on regular schedules to produce precise orbits identifying the position and velocity of satellites equipped with retroreflectors. The individual ILRS AC solutions are used by the Analysis Center Coordinators (ACC) to generate the official ILRS final combined orbit products, as well as backup combination. The final products are considered the most consistent and highest quality ILRS solutions; they consist of weekly orbit files, generated on a weekly basis with a typical delay of 3 days. All orbit solution files utilize the extended standard product-3 (SP3) format and span 7 days from 00:00 to 23:45 UTC.

restrictednotspecifiedApr 2025View details →
nasa24/100

Satellite Laser Ranging Mail Exploder distributing general information about ILRS-related activities to the ILRS community.

SLRMail is a mail exploder to distribute general information about ILRS related activities to the ILRS community. Each individual message is automatically numbered sequentially and archived for reference.

restrictednotspecifiedApr 2025View details →
nasa24/100

International Laser Ranging Service (ILRS) extension of the International Terrestrial Reference Frame 2020 (ITRF2020) TRF Model with additional SLR sites from NASA CDDIS

Expanded set of SLR station positions and velocities in the ITRF2020 frame, includes historical sites NOT part of ITRF2020 and some very recently installed sites that came online in 2022. A small number of sites require special treatment with the addition of corrections to their "mean" positions (in this file) from the ITRS-distributed PSD model, due to "events" (e.g. earthquakes) or changes at the site. Users must apply these corrections cumulatively, to the linearly propagated positions from this file, by themselves. For more details, s/w and relevant correction files please visit the official ITRS site on ITRF2020 at: https://itrf.ign.fr/en/solutions/ITRF2020

restrictednotspecifiedApr 2025View details →
nasa24/100

Satellite Laser Ranging (SLR) ILRS Combination Center (CC) Station Position and Earth Rotation Parameters (ERP) Product (weekly files, generated daily) from NASA CDDIS

This derived product set consists of Satellite Laser Ranging Final Station Position plus ERP Product (daily files, generated daily) from the NASA Crustal Dynamics Data Information System (CDDIS). SLR provides unambiguous range measurements to mm precision that can be aggregated over the global network to provide very accurate satellite orbits, time histories of station position and motion, and many other geophysical parameters. SLR operates in the optical region and is the only space geodetic technique that measures unambiguous range directly. Analysis of SLR data contributes to the terrestrial reference frame, modeling of the spatial and temporal variations of the Earth's gravitational field, and monitoring of millimeter-level variations in the location of the center of mass of the total Earth system (solid Earth-atmosphere-oceans). In addition, SLR provides precise orbit determination for spaceborne radar altimeter missions. It provides a means for sub-nanosecond global time transfer, and a basis for special tests of the Theory of General Relativity. Analysis Centers (ACs) of the International Laser Ranging Service (ILRS) retrieve SLR data on regular schedules to produce precise station positions and velocities for stations in the ILRS network. The ACs also generate Earth Orientation Parameters from the SLR data. The ILRS Analysis Center Coordinators (ACC) uses these individual AC solutions to generate the official ILRS final combined station position plus ERP products, as well as backup combination. The final products are considered the most consistent and highest quality ILRS solutions; they consist of daily station position/ERP files, generated on a daily basis with a typical delay of 2 days. All station position/ERP solution files utilize the Software Independent Exchange (SINEX) format and span 1 day from 00:00 to 23:45 UTC.

restrictednotspecifiedApr 2025View details →

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