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2,025 results for “R&D”
Prospective Evaluation of AI R&D Tool in Adult Glioma and Other Primary Brain Tumours (PEAR-GLIO)
ClinicalTrials.gov study NCT06038760. IPD Sharing: NO. Countries: 1. Publications: 0.
Exploring the Application Efficacy of Artificial Intelligence (AI) Diagnostic Tools in Medical Imaging (MI) of Respiratory(R) Infectious (I) Disease (D)
ClinicalTrials.gov study NCT06553911. IPD Sharing: NO. Countries: 1. Publications: 0.
A Double Blind Sham-controled Study to Evaluate the Influence of Low Frequency Repetitive Transcranial Stimulation (r-TMS) on Motor and Cognitive Measurements in Patients With Asymmetric Parkinson's D
ClinicalTrials.gov study NCT01367782. IPD Sharing: Not stated. Countries: 1. Publications: 0.
R&D Supporting Pilot Study for the Assessment of the Safety and Effectiveness of the ProVATE (ProTIPI) Vaginal Pessary
ClinicalTrials.gov study NCT02239133. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Oshadi D and Oshadi R in Combination With Docetaxel, as 2nd Line Therapy for Metastatic Non Small Cell Lung Cancer
ClinicalTrials.gov study NCT02134990. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Evaluation of the Safety and Efficacy of Oshadi D and Oshadi R for Cancer Treatment
ClinicalTrials.gov study NCT01201018. IPD Sharing: Not stated. Countries: 1. Publications: 0.
NAAMES R/V Atlantis Miscellaneous Data, Version 1
NAAMES_Misc_Ship_Data are miscellaneous ship measurements collected onboard the R/V Atlantis vessel during the North Atlantic Aerosols and Marine Ecosystems Study (NAAMES). These measurements were collected from November 4, 2015 – November 29, 2015, May 11, 2016 – June 5, 2016, August 30, 2017-September 22, 2017 and March 18, 2018 – April 13, 2018 over the North Atlantic Ocean. The primary objective of NAAMES was to resolve key processes controlling ocean system function, their influences on atmospheric aerosols and clouds and their implications for climate. The ship-based measurements provide detailed characterization of plankton stocks, rate processes, and community composition. Ship measurements collected during NAAMES also characterize sea water volatile organic compounds, their processing by ocean ecosystems, and the concentrations and properties of gases and particles in the overlying atmosphere. Data collection for this product is complete.The NASA North Atlantic Aerosols and Marine Ecosystems Study (NAAMES) project was the first NASA Earth Venture – Suborbital mission focused on studying the coupled ocean ecosystem and atmosphere. NAAMES utilizes a combination of ship-based, airborne, autonomous sensor, and remote sensing measurements that directly link ocean ecosystem processes, emissions of ocean-generated aerosols and precursor gases, and subsequent atmospheric evolution and processing. Four deployments coincide with the seasonal cycle of phytoplankton in the North Atlantic Ocean: the Winter Transition (November 5 – December 2, 2015), the Bloom Climax (May 11 – June 5, 2016), the Deceleration Phase (August 30 – September 24, 2017), and the Acceleration Phase (March 20 – April 13, 2018). Ship-based measurements were conducted from the Woods Hole Oceanographic Institution Research Vessel Atlantis in the middle of the North Atlantic Ocean, while airborne measurements were conducted on a NASA Wallops Flight Facility C-130 Hercules that was based at St. John's International Airport, Newfoundland, Canada. Data products in the ASDC archive focus on the NAAMES atmospheric aerosol, cloud, and trace gas data from the ship and aircraft, as well as related satellite and model data subsets. While a few ocean-remote sensing data products (e.g., from the high-spectral resolution lidar) are also included in the ASDC archive, most ocean data products reside in a companion archive at SeaBass.
GOES-R PLT Washington D.C. Lightning Mapping Array (LMA) V1
The GOES-R PLT Washington D.C. Lightning Mapping Array (LMA) dataset consists of total lightning data measured from the Washington D.C. LMA (DCLMA) network during the GOES-R Post Launch Test (PLT) airborne science field campaign. The GOES-R PLT airborne science field campaign took place in support of the post-launch product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). The LMA measures the arrival time of radiation from a lightning discharge at multiple stations and locates the sources of radiation to produce a three-dimensional map of total lightning activity. These data files are available in compressed ASCII files and are available from April 6, 2017 through June 1, 2017.
Subspecies and Distribution. R m. megaphyllus J. E. Gray, 1834 - SE Australia (E New South Wales and E Victoria). R m. fallaxK. Andersen, 1906 - W to SE New Guinea and D'Entrecasteaux Is (Goodenough). R m. igniferG. M. Allen, 1933 - NE Australia (E Queensland and Prince ofWales and Fraser Is). R m. monachus K. Andersen, 1905 - Louisiade Archipelago (Woodlark and Misima). R m. vandeuseni Koopman, 1982 - Bismarck Archipelago (New Ireland, Lihir, and New Britain). in Rhinolophidae
Subspecies and Distribution. R m. megaphyllus J. E. Gray, 1834 - SE Australia (E New South Wales and E Victoria). R m. fallaxK. Andersen, 1906 - W to SE New Guinea and D'Entrecasteaux Is (Goodenough). R m. igniferG. M. Allen, 1933 - NE Australia (E Queensland and Prince ofWales and Fraser Is). R m. monachus K. Andersen, 1905 - Louisiade Archipelago (Woodlark and Misima). R m. vandeuseni Koopman, 1982 - Bismarck Archipelago (New Ireland, Lihir, and New Britain).
Subspecies and Distribution. R d. denti Thomas, 1904 - SW Angola, N Namibia, NW & SW Botswana, and N South Africa (Northern Cape Province). There is an unconfirmed record from SW Republic of the Congo. R d. knorri Eisentraut, 1960 - scattered records across W Africa in SE Senegal, Guinea-Bissau, W Guinea, N Sierra Leone, N Ivory Coast (but possibly representing Lander's Horseshoe Bat, R landeri), NE Ghana, S Burkina Faso, and Nigeria. There is apparently a specimen from S South Sudan that might represent this subspecies, although its identity needs to be validated. in Rhinolophidae
Subspecies and Distribution. R d. denti Thomas, 1904 - SW Angola, N Namibia, NW & SW Botswana, and N South Africa (Northern Cape Province). There is an unconfirmed record from SW Republic of the Congo. R d. knorri Eisentraut, 1960 - scattered records across W Africa in SE Senegal, Guinea-Bissau, W Guinea, N Sierra Leone, N Ivory Coast (but possibly representing Lander's Horseshoe Bat, R landeri), NE Ghana, S Burkina Faso, and Nigeria. There is apparently a specimen from S South Sudan that might represent this subspecies, although its identity needs to be validated.
← Fig. 18. Representation and comparison of head and thoracic characters. A–C: head, dorsal view; D–E: head and prothorax, lateral view (antennomeres not showing due to edition of photo); F: schematic drawing showing the antennomeres; G – S: external scent efferent system; G – N: meso- and metapleura, ventral view; G: schematic drawing showing the parts of eses; O – S: SEM images of characters of eses of mestasternal glands. — (A, Fi, H): Hypanthracos meridionalis; (B, N): Mecocephala magna; (C): Paramecocephala foveata; (D, M): Tibraca limbativentris; (E, S): Hypatropis inermis; (Fii, I): Chimerocoris luridus; (Fiii, J): Ogmocoris hypomelas; (Fiv, K): Liscocephala fumosa; (Fv, L): Triunfus carvalhoi; (O): Glyphepomis adroguensis; (P): Paramecocephala fusca; (Q): Pedinonotus catarinensis; (R): Glyphepomis setigera; Scale bars: A– E, H – N = 0.5 mm; O – S = 100 μm. in Systematics of the Mecocephala group (Hemiptera: Heteroptera: Pentatomidae) based on a phylogenetic perspective: Inclusion of Hypanthracos, description of three new genera, and redescription of Ogmocoris
← Fig. 18. Representation and comparison of head and thoracic characters. A–C: head, dorsal view; D–E: head and prothorax, lateral view (antennomeres not showing due to edition of photo); F: schematic drawing showing the antennomeres; G – S: external scent efferent system; G – N: meso- and metapleura, ventral view; G: schematic drawing showing the parts of eses; O – S: SEM images of characters of eses of mestasternal glands. — (A, Fi, H): Hypanthracos meridionalis; (B, N): Mecocephala magna; (C): Paramecocephala foveata; (D, M): Tibraca limbativentris; (E, S): Hypatropis inermis; (Fii, I): Chimerocoris luridus; (Fiii, J): Ogmocoris hypomelas; (Fiv, K): Liscocephala fumosa; (Fv, L): Triunfus carvalhoi; (O): Glyphepomis adroguensis; (P): Paramecocephala fusca; (Q): Pedinonotus catarinensis; (R): Glyphepomis setigera; Scale bars: A– E, H – N = 0.5 mm; O – S = 100 μm.
Figure 1 from: Leese F, Altermatt F, Bouchez A, Ekrem T, Hering D, Meissner K, Mergen P, Pawlowski J, Piggott J, Rimet F, Steinke D, Taberlet P, Weigand A, Abarenkov K, Beja P, Bervoets L, Björnsdóttir S, Boets P, Boggero A, Bones A, Borja Á, Bruce K, Bursić V, Carlsson J, Čiampor F, Čiamporová-Zatovičová Z, Coissac E, Costa F, Costache M, Creer S, Csabai Z, Deiner K, DelValls Á, Drakare S, Duarte S, Eleršek T, Fazi S, Fišer C, Flot J, Fonseca V, Fontaneto D, Grabowski M, Graf W, Guðbrandsson J, Hellström M, Hershkovitz Y, Hollingsworth P, Japoshvili B, Jones J, Kahlert M, Kalamujic Stroil B, Kasapidis P, Kelly M, Kelly-Quinn M, Keskin E, Kõljalg U, Ljubešić Z, Maček I, Mächler E, Mahon A, Marečková M, Mejdandzic M, Mircheva G, Montagna M, Moritz C, Mulk V, Naumoski A, Navodaru I, Padisák J, Pálsson S, Panksep K, Penev L, Petrusek A, Pfannkuchen M, Primmer C, Rinkevich B, Rotter A, Schmidt-Kloiber A, Segurado P, Speksnijder A, Stoev P, Strand M, Šulčius S, Sundberg P, Traugott M, Tsigenopoulos C, Turon X, Valentini A, van der Hoorn B, Várbíró G, Vasquez Hadjilyra M, Viguri J, Vitonytė I, Vogler A, Vrålstad T, Wägele W, Wenne R, Winding A, Woodward G, Zegura B, Zimmermann J (2016) DNAqua-Net: Developing new genetic tools for bioassessment and monitoring of aquatic ecosystems in Europe. Research Ideas and Outcomes 2: e11321. https://doi.org/10.3897/rio.2.e11321
Figure 1 - GANTT Diagram showing the planned COST Networking Tools to be applied to DNAqua-Net.
FIGURE 6. Rhynchosia species. A–C. R. diversifolia. D–G. R. edulis. H–I. R in Taxonomic revision of Rhynchosia Lour. (Leguminosae, Papilionoideae, Phaseoleae) in South America
FIGURE 6. Rhynchosia species. A–C. R. diversifolia. D–G. R. edulis. H–I. R. erythrinoides. (A, B, E by T.C. Monteiro); (C by L.M.P.A. Bezerra); (D, F, G by D. S. Gissi) and (H, I by N. R. Marcial).
FIGURE 1. Reyesacris spp. A–D. R. amedegnatoae. A. Male lateral view. B. Female lateral view. C. Male dorsal view. D. Female dorsal view. E–H. R in Studies in Mexican Grasshoppers: Four new species of Reyesacris Fontana Buzzetti & Mariño-Pérez, 2011 (Orthoptera: Acrididae: Ommatolampidinae)
FIGURE 1. Reyesacris spp. A–D. R. amedegnatoae. A. Male lateral view. B. Female lateral view. C. Male dorsal view. D. Female dorsal view. E–H. R. atoyacensis sp. nov. E. Male lateral view. F. Female lateral view. G. Male dorsal view. H. Female dorsal view. Scale bar 5 mm.
Oshadi D & Oshadi R Combined With Salvage Chemotherapy for Relapsed Acute Myeloid Leukemia or Lymphoid Leukemia Patients
ClinicalTrials.gov study NCT02462265. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Measurements taken onboard R/V Kaimimoana between 1999 and 2002
Measurements from the NOAA ship, the Kaimimoana between 1999 and 2002.
QCA-2024-SCC-002 R&D data
<p>Project Code: QCA-2024-SCC-002</p> <p>This project is classified as CONFIDENTIAL. All information, data, and results associated with this project are strictly restricted to authorized personnel only. Any dissemination, distribution, or copying of the project details is strictly prohibited without prior approval from the project lead and the university's Office of Research Compliance.</p>
QCA-2024-SCC-001 R&D data
<p>Project Code: QCA-2024-SCC-001</p> <p>This project is classified as CONFIDENTIAL. All information, data, and results associated with this project are strictly restricted to authorized personnel only. Any dissemination, distribution, or copying of the project details is strictly prohibited without prior approval from the project lead and the university's Office of Research Compliance.</p>
Data set fromthe article Voellenkle C, Perfetti A, Carrara M, Fuschi P, Renna LV, Longo M, Sain SB, Cardani R, Valaperta R, Silvestri G, Legnini I, Bozzoni I, Furling D, Gaetano C, Falcone G, Meola G, Martelli F. Dysregulation of Circular RNAs in Myotonic Dystrophy Type 1. Int J Mol Sci. 2019 Apr 19;20(8):1938. doi: 10.3390/ijms20081938. PMID: 31010208; PMCID: PMC6515344.
<p>Data set from the article Voellenkle C, Perfetti A, Carrara M, Fuschi P, Renna LV, Longo M, Sain SB, Cardani R, Valaperta R, Silvestri G, Legnini I, Bozzoni I, Furling D, Gaetano C, Falcone G, Meola G, Martelli F. Dysregulation of Circular RNAs in Myotonic Dystrophy Type 1. Int J Mol Sci. 2019 Apr 19;20(8):1938. doi: 10.3390/ijms20081938. PMID: 31010208; PMCID: PMC6515344.</p> <p>This is the abstract:</p> <p>Circular RNAs (circRNAs) constitute a recently re-discovered class of non-coding RNAs functioning as sponges for miRNAs and proteins, affecting RNA splicing and regulating transcription. CircRNAs are generated by "back-splicing", which is the linking covalently of 3'- and 5'-ends of exons. Thus, circRNA levels might be deregulated in conditions associated with altered RNA-splicing. Significantly, growing evidence indicates their role in human diseases. Specifically, myotonic dystrophy type 1 (DM1) is a multisystemic disorder caused by expanded CTG repeats in the <em>DMPK</em> gene which results in abnormal mRNA-splicing. In this investigation, circRNAs expressed in DM1 skeletal muscles were identified by analyzing RNA-sequencing data-sets followed by qPCR validation. In muscle biopsies, out of nine tested, four transcripts showed an increased circular fraction: CDYL, HIPK3, RTN4_03, and ZNF609. Their circular fraction values correlated with skeletal muscle strength and with splicing biomarkers of disease severity, and displayed higher values in more severely affected patients. Moreover, Receiver-Operating-Characteristics curves of these four circRNAs discriminated DM1 patients from controls. The identified circRNAs were also detectable in peripheral-blood-mononuclear-cells (PBMCs) and the plasma of DM1 patients, but they were not regulated significantly. Finally, increased circular fractions of RTN4_03 and ZNF609 were also observed in differentiated myogenic cell lines derived from DM1 patients. In conclusion, this pilot study identified circRNA dysregulation in DM1 patients.</p>
Data set from Caruso R, Grugnetti AM, Pastore U, Dellafiore F, Pittella F, Ausili D, Stievano A, Arrigoni C. Modified Research Utilization Questionnaire: Development and Validation Study among Italian Nurses. Asian Nurs Res (Korean Soc Nurs Sci). 2019 Feb;13(1):61-68. doi: 10.1016/j.anr.2019.01.006. Epub 2019 Jan 18. PMID: 30660835.
<p>Data set from Caruso R, Grugnetti AM, Pastore U, Dellafiore F, Pittella F, Ausili D, Stievano A, Arrigoni C. Modified Research Utilization Questionnaire: Development and Validation Study among Italian Nurses. Asian Nurs Res (Korean Soc Nurs Sci). 2019 Feb;13(1):61-68. doi: 10.1016/j.anr.2019.01.006. Epub 2019 Jan 18. PMID: 30660835.</p> <p> </p> <p>This is the abstract:</p> <p><strong>Purpose: </strong>The purpose of this study was to develop the modified research utilization questionnaire (M-RUQ) and to establish its content and face validity, construct validity, and reliability.</p> <p><strong>Methods: </strong>This study has a multiphase (three phases), methodological, and cross-sectional design. First, research utilization questionnaire (RUQ) was translated into Italian, which is the target language to develop the M-RUQ. Second, the RUQ psychometric proprieties were assessed using exploratory factorial analysis to identify ambiguous or problematic items (e.g., cross-loadings) (cross-sectional sampling A). The RUQ modification (i.e., item deleting, wording modification, and scoring procedure) represented the development of the M-RUQ among Italian nurses. The third phase was aimed to confirm the construct validity of the M-RUQ and to test its stability and internal consistency (cross-sectional sampling B).</p> <p><strong>Results: </strong>This study's findings show that M-RUQ has a three-dimensional structure and a total of 22 items. The M-RUQ shows evidence of validity and reliability. Precisely, the factorial structure coming from an exploratory factorial analysis on the first sample (n = 504) was confirmed by a final model of confirmatory factorial analysis (CFA) on a second sample (n = 362). The final CFA model showed adequate goodness of fit, where all the factor loadings showed values higher than .40. Cronbach's α was satisfactory for each domain and for the overall scale. Furthermore, the M-RUQ showed good stability described by the test-retest.</p> <p><strong>Conclusion: </strong>The M-RUQ should be used to assess research utilization among nurses for educational or research purposes to address the practice. Further research about its validity and reliability is suggested.</p> <p> </p>
ScienceDex guides
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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.