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75 results for “SLiM”
INFORE22 Acoustic data from SLim Towed Array (SLiTA)
<p>Acoustic data stem from hydrophone array SLiTA (SLim Towed Array [*]) towed by marine robots during INFORE22 experiments on 28<sup>th</sup> February and 1<sup>st</sup> March 2022. Two series of acquisitions are shared, one for each OEX.</p> <p>Data have been generated during the INFORE22 sea trial, run by CMRE from 21st February to 1st March 2022 in the Gulf of La Spezia to experiment and validate the CMRE hybrid robotic network in support of the INFORE maritime use case [**]. See also https://zenodo.org/record/637272</p> <p>Acoustic data are shared in binary format (.dat), and are complemented by Matlab scripts (.m) and header textual descriptors (sliva-header-specification.2.x0.txt). </p> <p>The archive (ACOUSTIC.zip) is split in multiple (60) files of 650MB each, which can me joined/combined with archive software (e.g., 7zip). </p> <p>For a full description of the dataset, see [***]</p> <p><strong>Conditions for use and distributions</strong></p> <p>This dataset is provided by NATO STO CMRE within the condition stated in the H2020 INFORE Grant and Consortium Agreement (GA. no. 825070) . The creation of derived products, as well the use in scientific publications must be pre-approved by CMRE and acknowledged. </p> <p><strong>Non liability clause</strong></p> <p>These data and software are provided in the scope of INFORE by NATO STO CMRE, in compliance with the INFORE open data strategy. Data and software are provided as they are. NATO and NATO STO CMRE decline any responsibility for bugs and any damage or accidental issue that the use of those data and software could cause. </p> <p><strong>References</strong></p> <p>[*] Alain Maguer, Rodney Dymond, Piero Guerrini, Luigi Troiano, Vittorio Grandi, Alberto Figoli, Claudio Olivero, Alessandro Sapienza, Stefano Fioravanti, John Potter Receiving and transmitting acoustic systems for AUV/gliders. Proceedings of the 3rd International Conference and Exhibition on Underwater Acoustic Measurements: Technologies and Results, 21-26 June, 2009, Nafplion, Greece. </p> <p>[**] Gabriele Ferri, Raffaele Grasso, Elena Camossi, Francesca de Rosa, Alessandro Faggiani, Kevin LePage, Konstantina Bereta, Marios Vodas, Dimitris Kladis, Antonis Kontaxakis, Nikos Giatrakos, Antonios Deligiannakis, Maritime Use Case: Final Evaluation Report Work Package 3 Tasks 3.3 INFORE Deliverable D3.3</p> <p>[***] Nikos Giatrakos, Antonios Deligiannakis, Arnau Montagud, Miguel Ponce de León, Thaleia Ntiniakou, Holger Arndt, Stefan Burkard, Konstantina Bereta, Marios Vodas, Dimitris Kladis, Raffaele Grasso, Gabriele Ferri, Arjan Vermeij, Alessandro Faggiani, Elena Camossi, Kevin Le Page: Data Management Plan V3 Work Package 8 Task 8.3 INFORE Deliverable 8.6</p> <p> </p> <p> </p> <p> </p>
Asia Pacific Slimming Tea Market 2024 TO 2033
<p><a href="https://www.custommarketinsights.com/report/asia-pacific-slimming-tea-market/">Asia Pacific Slimming Tea Market</a> Size, Trends and Insights By Product Type (Black Tea, Green Tea, Herbal Tea, Others), By Form (Loose Leaf Tea, Tea Bags, Instant Tea, Powdered Tea), By Distribution Channel (Hypermarkets & Supermarkets, Convenience Stores, Online, Others), and By Region - Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033</p> <p>DOWNLOAD FREE SAMPLE Now at <a href="https://www.custommarketinsights.com/request-for-free-sample/?reportid=58208" target="_blank" rel="noopener">https://www.custommarketinsights.com/request-for-free-sample/?reportid=58208</a></p>
Resnet50 v2 frozen from slim dataset (batch size = 1)
<p>Pretrained model from the following repository:</p> <p><a href="https://github.com/tensorflow/models/tree/master/research/slim">https://github.com/tensorflow/models/tree/master/research/slim</a></p> <p>batch size set to 1</p>
Study of Semaglutide for Non-Alcoholic Fatty Liver Disease (NAFLD), a Metabolic Syndrome With Insulin Resistance, Increased Hepatic Lipids, and Increased Cardiovascular Disease Risk (The SLIM LIVER St
ClinicalTrials.gov study NCT04216589. IPD Sharing: YES. Countries: 2. Publications: 2.
MetForTC-Phase transition plateau measurements of the new Al slim cell
<p>The main goal was to test whether the new cells improve the reliability of measurements for in-situ conditions, and to work on characterisation of one thermocouple using new designed Al cell.The measurement in the Three-zone furnace was made in a quartz tube that was ordered according to the dimensions of the fixed point cell produced in ČMI and according to the dimensions of the openings in the three zones of the furnace.</p> <p>Equipment used: Aluminium Fixed Point Cell (designed and produced by ČMI), 3 Zone High Temperature Furnace – 465, ISOTECH Oberon Furnace, ISOTECH, Nanovoltmeter, 2182A, Keithley, Rotameter, FT-052-08-ST-VN, Omega S-typeThermocouple, ISOTECH, 30474/6.</p>
COBRA-Slim With or Without Fast Access to TNF Blockade for Remission Induction in Early RA
ClinicalTrials.gov study NCT03649061. IPD Sharing: NO. Countries: 1. Publications: 14.
A Study of t:Slim X2 With Control-IQ Technology
ClinicalTrials.gov study NCT03844789. IPD Sharing: YES. Countries: 1. Publications: 7.
A Pilot Test of t:Slim X2 With Control-IQ Technology
ClinicalTrials.gov study NCT03368937. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
The SLIM Study: Sling and Botox® Injection for Mixed Urinary Incontinence
ClinicalTrials.gov study NCT02678377. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Safety Evaluation of an Advanced Hybrid Closed Loop System Using Lyumjev With the Tandem t:Slim X2 Insulin Pump With Control-IQ Technology in Adults, Adolescents and Children With Type 1 Diabetes
ClinicalTrials.gov study NCT05403502. IPD Sharing: NO. Countries: 1. Publications: 1.
Walnut Gulch Experimental Watershed site, station Grass and scattered shrub vegetation zone in Walnut Gulch Watershed, study of plant cover of Tridens muticus (slim tridens) in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Walnut Gulch Experimental Watershed (WGE) contains plant cover of Tridens muticus (slim tridens) measurements in percent units and were aggregated to a yearly timescale.
Walnut Gulch Experimental Watershed site, station Grass vegetation zone in Walnut Gulch Watershed, study of plant cover of Tridens muticus (slim tridens) in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Walnut Gulch Experimental Watershed (WGE) contains plant cover of Tridens muticus (slim tridens) measurements in percent units and were aggregated to a yearly timescale.
Walnut Gulch Experimental Watershed site, station Shrubs with grass vegetation zone in Walnut Gulch Watershed, study of plant cover of Tridens muticus (slim tridens) in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Walnut Gulch Experimental Watershed (WGE) contains plant cover of Tridens muticus (slim tridens) measurements in percent units and were aggregated to a yearly timescale.
FIGURE 26. Beybienkoana gregarius. A in The slim mute crickets, Euscyrtinae (Orthoptera: Grylloidea; Gryllidae; Euscyrtinae) of Taiwan with three new species and lectotype designations of three of Shiraki's species
FIGURE 26. Beybienkoana gregarius. A: male genitalia, dorsal view; B: the same, ventral view; C: the same, lateral view; D: ectoparamere, ventral view; E: subgenital plate, dorsal view; F: abdominal terminal of female, lateral view; G: Ovipositor(cross section).
FIGURE 27. Beybienkoana gregarius. A in The slim mute crickets, Euscyrtinae (Orthoptera: Grylloidea; Gryllidae; Euscyrtinae) of Taiwan with three new species and lectotype designations of three of Shiraki's species
FIGURE 27. Beybienkoana gregarius. A: metanotum, dorsal view; B: dentate of anterior concave; C: dentate of posterior concave; D: anterior lateral margin.
FIGURE 25. Beybienkoana gregarius. A in The slim mute crickets, Euscyrtinae (Orthoptera: Grylloidea; Gryllidae; Euscyrtinae) of Taiwan with three new species and lectotype designations of three of Shiraki's species
FIGURE 25. Beybienkoana gregarius. A: head and pronotum, dorsal view; B: the same, lateral view; C: head, anterior view; D: metanotum, dorsal view; E: labium, ventral view; F: maxilla, lateral-ventral view; G: fore leg, inner side; H: fore leg, outer side; I: tarsus of fore leg, ventral view; J: hind tibia, inner side(left), outer side(right); K: fore wing, extended.
FIGURE 24. Beybienkoana luteolus. A in The slim mute crickets, Euscyrtinae (Orthoptera: Grylloidea; Gryllidae; Euscyrtinae) of Taiwan with three new species and lectotype designations of three of Shiraki's species
FIGURE 24. Beybienkoana luteolus. A: metanotum, dorsal view; B: dentate of anterior concave; C: dentate of posterior concave; D: anterior lateral margin.
FIGURE 21. Beybienkoana splendidus. A in The slim mute crickets, Euscyrtinae (Orthoptera: Grylloidea; Gryllidae; Euscyrtinae) of Taiwan with three new species and lectotype designations of three of Shiraki's species
FIGURE 21. Beybienkoana splendidus. A: metanotum, dorsal view; B: dentate of anterior concave; C: dentate of posterior concave; D: anterior lateral margin.
FIGURE 16. Beybienkoana karnyi. A in The slim mute crickets, Euscyrtinae (Orthoptera: Grylloidea; Gryllidae; Euscyrtinae) of Taiwan with three new species and lectotype designations of three of Shiraki's species
FIGURE 16. Beybienkoana karnyi. A: head and pronotum, dorsal view; B: the same, lateral view; C: head, anterior view; D: metanotum, dorsal view; E: labium, ventral view; F: maxilla, lateral-ventral view; G: fore leg, inner side; H: fore leg, outer side; I: tarsus of fore leg, ventral view; J: hind tibia, inner side(left), outer side(right); K: fore wing, extended.
FIGURE 20. Beybienkoana splendidus. A in The slim mute crickets, Euscyrtinae (Orthoptera: Grylloidea; Gryllidae; Euscyrtinae) of Taiwan with three new species and lectotype designations of three of Shiraki's species
FIGURE 20. Beybienkoana splendidus. A: male genitalia, dorsal view; B: the same, ventral view; C: the same, lateral view; D: ectoparamere, ventral view; E: subgenital plate, dorsal view; F: abdominal terminal of female, lateral view; G: Ovipositor(cross section).
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)
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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.