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368 results for “SEC”
Immunoglobulin G: SEC-SAXS experiment using in house SAXS instrument with in situ UV-Vis
<p>SEC-SAXS experiment using in house SAXS instrument</p> <p>Sample: Immunoglobuline G<br>Buffer: 50mM Tris, 50 mM NaCl, pH 7.6</p> <table> <tbody> <tr> <td><strong>File Name</strong></td> <td><strong>Description</strong></td> </tr> <tr> <td>SAXS_raw.zip</td> <td>Raw, unreduced data (2D images) in HDF5 format</td> </tr> <tr> <td>SAXS_reduced.zip</td> <td>SAXS data, azimutaly reduced (1D curves). Q-vaules are in 1/nm</td> </tr> <tr> <td>SAXS_UV_raw.zip</td> <td>Raw UV-Vis absorption data collected using in-situ spectrometer</td> </tr> <tr> <td>SAXS_UV_processed.zip</td> <td>UV-Vis data collected using in-situ spectrometer. Absorbance at 280nm extracted as a time series</td> </tr> <tr> <td>HPLC_raw.zip</td> <td>Data from HPLC system natively exported from control software (Unicorn)</td> </tr> <tr> <td>HPLC_extracted.zip</td> <td>Data from HPLC system exported to CSV</td> </tr> <tr> <td>DS11_fractions.zip</td> <td>UV-Vis absorption data collected usig micro volume spectrometer (DeNovix DS-11) on fractions collected using fraction collector.</td> </tr> </tbody> </table> <p> </p>
SEC-MALS: USP5 and Ubiquitin
<p>Determination of the stoichiometry of binding of monoubiquitin (Ubq) to the <a href="https://zenodo.org/record/1495189#.XnS84ohKjIV">full-length wildtype</a> USP5 and <a>R221A mutant</a> protein by size exclusion chromatography-multiple angle light scattering (SEC-MALS) to elucidate the binding properties of native Ubq for future cell-based and activity studies.</p>
Solar and meteorological data collected from the Cilaos Bras Sec station (La Réunion) by the ENERGY-lab at the University of La Reunion between December 2012 and June 2013
<p>Scientific data provided by ENERGY-lab located at the University of La Reunion. These data come from solar and meteorological stations present in the following territories: La Reunion, Comoros, Madagascar, Mauritius, Seychelles and South Africa. A THREDDS Data Server was created as part of the IOS-net (Indian Ocean Solar Network, https://galilee.univ-reunion.fr) project which aims to study the solar field and the optimisation of intelligent solar energy systems in the countries of the IOC (Indian Ocean Commission). These data are served by Unidata's Thematic Realtime Environmental Distributed Data Services (THREDDS) Data Server (TDS) in a variety of interoperable data services and output formats.</p> <p>Dataset is available from the THREDDS Data Server to this url: <a href="https://galilee.univ-reunion.fr/thredds/catalog/dataStations/catalog.html"> https://galilee.univ-reunion.fr/thredds/catalog/dataStations/catalog.html</a>.</p> <p>Data are also viewable and exploitable on the mobile application of the IOS-net project. The SolarIO app is downloadable in all stores.</p> <p><strong><em>ENERGY-lab data may be reused, provided that related metadata explaining the data has been reviewed by the user, and that the data are appropriately acknowledged.</em></strong></p>
Data for "Synthesis of zirconium(IV) and hafnium(IV) isopropoxide, sec-butoxide and tert-butoxide"
<p>Data of the figures in the publication "<strong>Synthesis of zirconium(IV) and hafnium(IV) isopropoxide, sec-butoxide and tert-butoxide</strong>".</p> <p>The <em>.pxp</em> documents contain the experimental data of the figures in the manuscript and they can be opened/edited with the software IGOR Pro 8.0 or higher.</p> <p>Table of contents:</p> <p><strong>Figure 1.</strong> The synthesis of zirconium(<span>iv</span>) and hafnium(<span>iv</span>) isopropoxide isopropanol complex. (A) General reaction scheme of both the method making use of ammonia stock solution in isopropanol, and gaseous ammonia, (B) <sup>1</sup>H NMR, and (C) <sup>13</sup>C NMR of zirconium(<span>iv</span>) and hafnium(<span>iv</span>) isopropoxide isopropanol complex in C<sub>6</sub>D<sub>6</sub>.</p> <p><strong>Figure 2.</strong> Exchange reaction of zirconium isopropoxide isopropanol complex with the more Lewis base TOPO. (A) General reaction scheme, (B) <sup>1</sup>H NMR of the as-synthesized zirconium(<span>iv</span>) isopropoxide isopropanol complex where the ratio between the three resonances (6.5, 4.5 and 1.5 ppm) equals to 1 : 5 : 30 (= 4 isopropoxides and 1 isopropanol), (C) to which an excess of TOPO is added where the ratio between the three resonances (4.5, 4.0 and 3.0 ppm) equals to 4 : 1 : 1 (confirms the correct stoichiometry of 4 isopropoxides and 1 isopropanol), and (D) <sup>31</sup>P NMR of the mixture in C<sub>6</sub>D<sub>6</sub>.</p> <p><strong>Figure 3.</strong> The synthesis of zirconium(<span>iv</span>) and hafnium(<span>iv</span>) diethylamido complex. (A) General reaction scheme, (B) <sup>1</sup>H NMR, and (C) <sup>13</sup>C NMR of zirconium(<span>iv</span>) and hafnium(<span>iv</span>) diethylamido complex in C<sub>6</sub>D<sub>6</sub>.</p> <p><strong>Figure 4.</strong> The synthesis of zirconium(<span>iv</span>) and hafnium(<span>iv</span>) <em>tert</em>-butoxide complex. (A) General reaction scheme, (B) <sup>1</sup>H NMR, and (C) <sup>13</sup>C NMR of zirconium(<span>iv</span>) and hafnium(<span>iv</span>) <em>tert</em>-butoxide complex in C<sub>6</sub>D<sub>6</sub>.</p> <p><strong>Figure 5.</strong> The synthesis of zirconium(<span>iv</span>) <em>sec</em>-butoxide. (A) General reaction scheme, (B) <sup>1</sup>H NMR, and (C) <sup>13</sup>C NMR of zirconium(<span>iv</span>) <em>sec</em>-butoxide in C<sub>6</sub>D<sub>6</sub>.</p> <p><strong>Figure 6.</strong> Interaction of zirconium <em>sec</em>-butoxide with TOPO. (A) <sup>1</sup>H NMR of the as-synthesized zirconium(<span>iv</span>) <em>sec</em>-butoxide to which TOPO is added, and (B) <sup>31</sup>P NMR of the mixture in C<sub>6</sub>D<sub>6</sub>.</p> <p><strong>Figure S1.</strong> Schematic diagram of the reversible glass frit and pictures of the air- and moisture-free Schlenk filtration.</p> <p><strong>Figure S2.</strong> Powder XRD of (left) the synthesized Zr(OiPr)4.iPrOH and the calculated powder diffraction pattern from the CSD reference JETWOU, and (right) the synthesized Hf(OiPr)4.iPrOH and the calculated powder diffraction pattern from the CSD reference NAYDAS.</p>
Linked collectors and determiners for: Description of two new species and phylogenetic reassessment of Perelleschus O'Brien & Wibmer, 1986 (Coleoptera: Curculionidae), with a complete taxonomic concept history of Perelleschus sec. Franz & Cardona-Duque, 2013.
Natural history specimen data linked to collectors and determiners held within, "Description of two new species and phylogenetic reassessment of Perelleschus O'Brien & Wibmer, 1986 (Coleoptera: Curculionidae), with a complete taxonomic concept history of Perelleschus sec. Franz & Cardona-Duque, 2013". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/af97dd93-ad80-4dcf-af96-c67a1cc0901e">https://bionomia.net/dataset/af97dd93-ad80-4dcf-af96-c67a1cc0901e</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/af97dd93-ad80-4dcf-af96-c67a1cc0901e">https://gbif.org/dataset/af97dd93-ad80-4dcf-af96-c67a1cc0901e</a>. Formatted as a Frictionless Data package.
Fig. 3 in Les papillons de jour des prairies et pâturages secs de Lavaux J P , M B , V F ,
Fig. 3. Résultats des analyses d'habitats. A: Pourcentage de variance expliquée par chacune des variables explorées, par ordre décroissant. B: Effet des traits variables expliquant le plus de variance sur la richesse spécifique observée.
Fig. 2 in Les papillons de jour des prairies et pâturages secs de Lavaux J P , M B , V F ,
Fig. 2. Lavaux est caractérisé par des transitions paysagères allant du lac en passant par le vignoble et ses villages, l'autoroute et la ligne CFF vers les herbages, ainsi que les forêts thermophiles (A). Les herbages sont situés entre 600 et 920 m d'altitude et se composent de prairies de fauche et de pÂturages (C) plus ou moins embroussaillés (B à D). La figure E illustre l'ensoleillement total sur Lavaux (en W / m2), les surfaces rouges étant les plus ensoleillées, les bleues les plus ombragées. Les PPS étudiés sont indiqués par des polygones rouges (E). Trois des PPS étudiés sont situés plus à l'ouest, hors du plan.
Fig. 1 in Les papillons de jour des prairies et pâturages secs de Lavaux J P , M B , V F ,
Fig. 1. Le logo du groupe de travail reflète les éléments paysagers majeurs de Lavaux: le bleu du Léman et le vert-orange automnal du vignoble. L'exposition des coteaux de Lavaux est propice à la culture de la vigne, mais le paysage de Lavaux abrite également quel- ques-uns des rares prairies et pÂturages secs (PPS) du Plateau vaudois.
Data from: Descriptions of four new species of Minyomerus Horn, 1876 sec. Jansen & Franz, 2018 (Coleoptera: Curculionidae), with notes on their distribution and phylogeny
This contribution adopts the taxonomic concept approach, including the use of taxonomic concept labels (name sec. [according to] source) and region connection calculus-5 (RCC–5) articulations and alignments. Prior to this study, the broad-nosed weevil genus Minyomerus Horn, 1876 sec. Jansen & Franz, 2015 (Curculionidae [non-focal]: Entiminae [non-focal]: Tanymecini [non-focal]) contained 17 species distributed throughout the desert and plains regions of North America. In this review of Minyomerus sec. Jansen & Franz, 2018, we describe the following four species as new to science: Minyomerus ampullaceus sec. Jansen & Franz, 2018 (henceforth: [JF2018]), new species, Minyomerus franko [JF2018], new species, Minyomerus sculptilis [JF2018], new species, and Minyomerus tylotos [JF2018], new species. The four new species are added to, and integrated with, the preceding revision, and an updated key and phylogeny of Minyomerus [JF2018] are presented. A cladistic analysis using 52 morphological characters of 26 terminal taxa (5/21 outgroup/ingroup) yielded a single most-parsimonious cladogram (Length = 99 steps, consistency index = 60, retention index = 80). The analysis reaffirms the monophyly of Minyomerus [JF2018] with eight unreversed synapomorphies. The species-group placements, possible biogeographic origins, and natural history of the new species are discussed in detail.
SECS resources
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Real-Life Indoor Sound Event Dataset (ReaLISED) for Sound Event Classification (SEC)
<p>The Real-Life Indoor Sound Event Dataset (ReaLISED) offers the scientific community the possibility of testing Sound Event Classification (SEC) algorithms with new real indoor audio event recordings. The full set is made up of 2479 sound recordings of 18 events. The 18 event classes are the following: beater, cooking, cupboard/wardrobe, dishwasher, door, drawer, furniture movement, microwave, object falling, smoke extractor, speech, switch, television, vacuum cleaner, walking, washing machine, water tap, and window. There are 2479 clips of isolated sounds, which result in 3624.51 seconds. The number of events in each class is between 104 for the "Window" class and 190 for the “Speech” class, with a mean value of 138 events and a standard deviation of 25.</p> <p>Four Olympus LS-100 recorders were used. The sampling frequency was set to 44.1 kHz and 24 bits per sample. The stereo mode was used, and a medium sensitivity of the microphone was set. The distance between the recorder and the sound source was set to approximately 30-40 cm.</p> <p>Apart from the labels related to the class of event, extra information for each recording is provided in order to be exploited if necessary in the future, with other research purposes. This extra information completes the description of the sound source.</p> <p>The dataset is introduced to the scientific community by providing all the .flac files which composed it. The name of the files is built with 5 pieces of information, separated with underscores (“_”), with the format “abc_123_45_67_8.flac′′:</p> <ul> <li> <p>“abc”: the first three letters indicate the source that produces the sound. This segment can take 18 different values: ‘bea’ (beater), ‘coo’ (cooking), ‘cup’ (cupboard/wardrobe), ‘dis’ (dishwasher), ‘doo’ (door), ‘dra’ (drawer), ‘fur’ (furniture movement), ‘mic’ (microwave), ‘obj’ (object falling), ‘smo’ (smoke extractor), ‘spe’ (speech), ‘swi’ (switch), ‘tel’ (television), ‘vac’ (vacuum cleaner), ‘wal’ (walking), ‘was’ (washing machine), ‘wat’ (water tap), win’ (window).</p> </li> <li> <p>“123”: this set of digits identifies the event among the number of events produced by the source identified with “abc”. This segment can take all the values between ‘001’ and ‘190’, which is the maximum number of events of a particular class we can find in the dataset (speech).</p> </li> <li> <p>“45”: this set of digits identifies the action that produce the sound. This segment can take 11 different values: ‘01’ (close), ‘02’ (open), ‘03’ (throw), ‘04’ (turn on), ‘05’ (turn off), ‘06’ (move), ‘07’ (plug), ‘08’ (unplug), ‘09’ (raise), ‘10’ (lower), and ‘00’ (there is no information about the action).</p> </li> <li> <p>“67”: this set of digits identifies the material the sound source is made of. This segment can take 14 different values: ’01’ (wood), ’02’ (glass), ’03’ (metal), ’04’ (plastic), ’05’ (ceramic), ’06’ (synthetic), ’07’ (cardboard), ’08’ (marble), ’09’ (floating platform), ’10' (platelet), ’11’ (wicker), ’12’ (carpet), ’13’ (medium-density fibreboard MDF), and ’00’ (there is no information about the material).</p> </li> <li> <p>“8”: the last digit gives approximate information about the intensity of the recorded sound. It can take 4 different values: ’1’ (low intensity), ’2’ (medium intensity), ’3’ (high intensity), ’0’ (there ir no information about the intensity).</p> <p>For clarity, some examples of audio file names with this code are shown hereunder:</p> </li> <li> <p>“doo_040_02_00_3.flac” is the name of the 40th file in the Door class, described as “opening a door of unknown material with high intensity”.</p> </li> <li> <p>“fur_058_06_01_2.flac” is the name of the 58th file in the furniture movement class, described as “moving a wooden furniture with medium intensity”.</p> </li> <li> <p>“vac_001_00_00_0.flac” is the name of the 1st audio file in the vacuum cleaner class, described as “using the vacuum cleaner, without information about the action, neither the material or the intensity”.</p> </li> </ul>
Moneta Brettia | BPETTIΩN | III sec. a.C.
Modellazione tridimensionale di moneta Brettia | BPETTIΩN | III sec. a.C. Sestante o didracma. D/ Testa di Ares, in elmo corinzio decorato con un grifone, a sinistra, dietro due pellets. R/ BPETTIΩN. Vittoria incorona un trofeo militare; in mezzo, cornucopia, sopra astro. ___info___ simonemadeo@libero.it Source: Objaverse 1.0 / Sketchfab
El Sec shipwreck (Mallorca-Spain). 2021-2022 missions. Evidences of a Punic shipbuilding tradition in Classical period
<p>Comunicación sobre las campañas de excavación de El Sec (Calvià, Mallorca) de los años 2022 y 2023 en la s<span><span>esión ARQUEOLOGÍA SUBMARINA Y NAVEGACIÓN del X Congreso Internacional de Estudios Fenicios y Púnicos - Eivissa, 17-21 Octubre de 2022</span></span></p> <p><span><span>Organizan: Direcció General de Cultura del GOIB - Consell Insular d'Eivissa - MAEF. Session UNDERWATER ARCHEOLOGY AND NAVIGATION of the 10th International Congress of Phoenician and Punic Studies - Ibiza 2022. Organizers: Direcció General de Cultura del GOIB - Consell Insular d'Eivissa - MAEF. </span></span></p> <div></div> <div> <div> <div></div> </div> </div>
Combined dark image, 300 sec exposure time from the Palomar LFC Chip 0
<p>This is a combination of three calibrated dark frames from the data set at http://doi.org/10.5281/zenodo.3254683 </p> <p>Those images were taken by Erik Tollerud</p>
mining-deforestation-footprint-EU-results-sec
<p>Sector-level footprint results from https://github.com/SLuckeneder/mining-deforestation-footprint-EU. Can be downloaded and stored in the results folder instead of running the model.</p>
History and practice of 8 U.S. Code §1103 notes, Sec. 102(c): Improvement of barriers at border
<p>To expedite the construction of barriers along the U.S.-Mexico border, an extensive array of laws has been waived. This authority is codified in 8 U.S. Code §1103 notes, Sec. 102(c) - Improvement of Barriers at Border. In 1996 the Endangered Species Act of 1973 and the National Environmental Policy Act of 1969 were waived directly by Congress and in 2005 Congress delegated authority to the Secretary of Homeland Security to waive any law necessary with the REAL ID Act. Covering environmental protections, historic preservation, procurement procedures, religious freedoms, and more, waiver determinations facilitate the extensive and more rapid construction of border barriers. This dataset documents the history of this aspect of U.S. law as debated, as legislated, as proclaimed, and as litigated. </p> <p>This dataset is designed to accompany the following academic paper: Madsen, Kenneth D. 2022. Institutionalising the Exception: Homeland Security Section 102(c) Waivers and the Construction of Border Barriers. <em>Geopolitics</em>. https://doi.org/10.1080/14650045.2022.2126766</p>
History and practice of 8 U.S. Code §1103 notes, Sec. 102(c): Improvement of barriers at border
Open the record for dataset details and reuse information.
Data from: Descriptions of four new species of Minyomerus Horn, 1876 sec. Jansen & Franz, 2018 (Coleoptera: Curculionidae), with notes on their distribution and phylogeny
Open the record for dataset details and reuse information.
Shortgrass Steppe site, station Lowland Sec 24, study of aboveground net primary productivity in units of gramsPerMeterSquaredPerYear 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 Shortgrass Steppe (SGS) contains aboveground net primary productivity measurements in gramsPerMeterSquaredPerYear units and were aggregated to a yearly timescale.
Shortgrass Steppe site, station Midslope Sec 24, study of aboveground net primary productivity in units of gramsPerMeterSquaredPerYear 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 Shortgrass Steppe (SGS) contains aboveground net primary productivity measurements in gramsPerMeterSquaredPerYear units and were aggregated to a yearly timescale.
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