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429 results for “December”
Evaluating the impact of design decisions on passive DNS-based domain rankings: ranking files (type: web, weighting: IDENTITY, days: 7, dates: 15 November 2023-05 December 2023)
See <a href="https://domain-ranking-design-decisions.distrinet-research.be/">https://domain-ranking-design-decisions.distrinet-research.be/</a> for a full project description.
Evaluating the impact of design decisions on passive DNS-based domain rankings: ranking files (type: web, weighting: IDENTITY, days: 7, dates: 16 December 2023-30 December 2023)
See <a href="https://domain-ranking-design-decisions.distrinet-research.be/">https://domain-ranking-design-decisions.distrinet-research.be/</a> for a full project description.
Evaluating the impact of design decisions on passive DNS-based domain rankings: ranking files (type: web, weighting: TTLBOUNDED, days: 1, dates: 16 December 2023-30 December 2023)
See <a href="https://domain-ranking-design-decisions.distrinet-research.be/">https://domain-ranking-design-decisions.distrinet-research.be/</a> for a full project description.
Evaluating the impact of design decisions on passive DNS-based domain rankings: ranking files (type: root, weighting: TTLBOUNDED, days: 7, dates: 15 November 2023-05 December 2023)
See <a href="https://domain-ranking-design-decisions.distrinet-research.be/">https://domain-ranking-design-decisions.distrinet-research.be/</a> for a full project description.
Evaluating the impact of design decisions on passive DNS-based domain rankings: ranking files (type: web, weighting: TTLBOUNDED, days: 1, dates: 15 November 2023-05 December 2023)
See <a href="https://domain-ranking-design-decisions.distrinet-research.be/">https://domain-ranking-design-decisions.distrinet-research.be/</a> for a full project description.
Evaluating the impact of design decisions on passive DNS-based domain rankings: ranking files (type: web, weighting: TTLBOUNDED, days: 7, dates: 15 November 2023-05 December 2023)
See <a href="https://domain-ranking-design-decisions.distrinet-research.be/">https://domain-ranking-design-decisions.distrinet-research.be/</a> for a full project description.
Evaluating the impact of design decisions on passive DNS-based domain rankings: ranking files (type: web, weighting: TTLBOUNDED, days: 7, dates: 16 December 2023-30 December 2023)
See <a href="https://domain-ranking-design-decisions.distrinet-research.be/">https://domain-ranking-design-decisions.distrinet-research.be/</a> for a full project description.
Evaluating the impact of design decisions on passive DNS-based domain rankings: ranking files (type: root, weighting: TTLBOUNDED, days: 7, dates: 16 December 2023-30 December 2023)
See <a href="https://domain-ranking-design-decisions.distrinet-research.be/">https://domain-ranking-design-decisions.distrinet-research.be/</a> for a full project description.
Evaluating the impact of design decisions on passive DNS-based domain rankings: ranking files (type: web, weighting: IDENTITY, days: 1, dates: 16 December 2023-30 December 2023)
See <a href="https://domain-ranking-design-decisions.distrinet-research.be/">https://domain-ranking-design-decisions.distrinet-research.be/</a> for a full project description.
Evaluating the impact of design decisions on passive DNS-based domain rankings: ranking files (type: root, weighting: TTLBOUNDED, days: 1, dates: 15 November 2023-05 December 2023)
See <a href="https://domain-ranking-design-decisions.distrinet-research.be/">https://domain-ranking-design-decisions.distrinet-research.be/</a> for a full project description.
Evaluating the impact of design decisions on passive DNS-based domain rankings: ranking files (type: root, weighting: IDENTITY, days: 7, dates: 16 December 2023-30 December 2023)
See <a href="https://domain-ranking-design-decisions.distrinet-research.be/">https://domain-ranking-design-decisions.distrinet-research.be/</a> for a full project description.
Biogeochemical data from two clear-water and two turbid-water urban ponds in Brussels (Belgium) from June 2021 to December 2023
<p>The dataset comprises three files, each containing geo-referenced information with corresponding timestamps. The names of the four ponds are written in French according to the official name defined by Brussels Environment (BE) (i.e. Leybeek, Pêcheries, Tenreuken and Silex).</p> <p>· DATA_Dissolved contains water temperature (°C), Chlorophyll-a concentration (µg L<sup>-1</sup>), oxygen saturation (%O<sub>2</sub>, in %), total suspended matter concentration (TSM, in mg L<sup>-1</sup>), inorganic nutrients (nitrate : NO<sub>3</sub><sup>-</sup>, nitrite : NO<sub>2</sub><sup>-</sup>, ammonium : NH<sub>4</sub><sup>+</sup>, soluble reactive phosphorus : SRP, in µmol L<sup>-1</sup>), partial pressure of CO<sub>2</sub> (pCO<sub>2</sub>, in ppm) , dissolved CH<sub>4</sub> concentration (CH<sub>4</sub>, in nmol L<sup>-1</sup>), N<sub>2</sub>O saturation level (%N<sub>2</sub>O, in %) and <sup>13</sup>C/<sup>12</sup>C ratio of CH<sub>4</sub> (δ<sup>13</sup>C-CH<sub>4</sub>, in ‰) collected from June 2021 to December 2023 in four ponds in Brussels.</p> <p>· DATA_Ebullitive contains wind speed (m s<sup>-1</sup>), water temperature (°C), atmospheric pressure (atm), bubbles flux measured with inverted funnels (mL m<sup>-2</sup> d<sup>-1</sup>), CH<sub>4</sub> content in bubbles (%CH<sub>4</sub>, in %) and <sup>13</sup>C/<sup>12</sup>C ratio of CH<sub>4</sub> (δ<sup>13</sup>C-CH<sub>4</sub>, in ‰) of CH<sub>4</sub> in the bubbles measured with three bubble traps in spring, summer, and fall in 2022 and 2023, totaling 8 days in the Leybeek, Pêcheries, and Tenreuken ponds and 24 days in the Silex pond.</p> <p>· DATA_perturbed_sediments contains <sup>13</sup>C/<sup>12</sup>C ratio of CH<sub>4</sub> (δ<sup>13</sup>C-CH<sub>4</sub>, in ‰) of CH<sub>4</sub> in the bubbles present in the sediment directly sampled with bubble traps by physically perturbing the sediment with a wooden rod the fourth September 2023 in the four ponds.</p> <p><strong>Field sampling and meteorological data</strong></p> <p>Sampling was done from a pontoon, with 60mL polypropylene syringes for gases (CO<sub>2</sub>, CH<sub>4</sub>, N<sub>2</sub>O) and a 2L polyethylene water container for processing at the home laboratory for other variables. Water temperature and %O<sub>2</sub> were measured in-situ with VWR MU 6100H probe. pCO<sub>2</sub> was measured with a Li-Cor Li-840 infrared gas analyser (IRGA) based on the headspace technique with 4 polypropylene syringes (Borges et al., 2019). The Li-Cor 840 IRGA was calibrated before and after each cruise with ultrapure N<sub>2</sub> and a suite of gas standards (Air Liquide Belgium) with CO<sub>2</sub> mixing ratios of 388, 813, 3788 and 8300 ppm. The overall precision of pCO<sub>2</sub> measurements was ±2.0%. Samples for CH<sub>4</sub> and N<sub>2</sub>O were transferred from the syringes with a silicone tube in 60 mL borosilicate serum bottles (Weathon), poisoned with 200 µl of a saturated solution of HgCl<sub>2</sub> and sealed with a butyl stopper and crimped with aluminium cap, without a headspace.</p> <p>Three bubble traps were deployed at 50 cm apart for measuring ebullitive CH<sub>4</sub> flux. The bubble traps consistent in inverted polypropylene funnels (diameter 23.5cm) mounted with 60mL polypropylene syringes and attached with steel rods to a polystyrene float. The volume of gas collected in the funnels was measured every 24 hours with 60mL syringes. The collected gas was stored in pre-evacuated 12 mL vials (Exetainers, Labco, UK) for the analysis of CH<sub>4</sub> concentration and δ<sup>13</sup>C-CH<sub>4</sub>.</p> <p>Wind speed and atmospheric pressure, were retrieved from <a href="https://wow.meteo.be/en" target="_new">https://wow.meteo.be/en</a> for the meteorological station of the Royal Meteorological Institute of St-Lambert (50.8408°N, 4.4234°E) in Brussels, located between 2.5 and 5 kilometers from the surveyed ponds.</p> <p><strong>CH<sub>4</sub> and N<sub>2</sub>O measurements by gas chromatography and </strong><strong>δ</strong><strong><sup>13</sup></strong><strong>C-CH<sub>4</sub> by cavity ring-down spectrometry</strong></p> <p>Measurements of N<sub>2</sub>O and CH<sub>4</sub> concentrations dissolved in water and in the gas samples from bubbles were made with the headspace technique (20mL of ultra-pure N<sub>2</sub>, Air Liquid Belgium, Weiss, 1981) and a gas chromatograph (GC) (SRI 8610C) with a flame ionisation detector for CH<sub>4</sub> (with a methanizer for CO<sub>2</sub>) and electron capture detector for N<sub>2</sub>O calibrated with CO<sub>2</sub>:CH<sub>4</sub>:N<sub>2</sub>O:N<sub>2</sub> gas mixtures (Air Liquide Belgium) with mixing ratios of 1, 10 and 30 ppm for CH<sub>4</sub>, 404, 1018, 3961 ppm for CO<sub>2</sub>, and 0.2, 2.0 and 6.0 ppm for N<sub>2</sub>O. The precision of measurement based on duplicate samples was ±3.9% for CH<sub>4</sub> and ±3.2% for N<sub>2</sub>O.</p> <p>The δ<sup>13</sup>C-CH<sub>4</sub> was measured in gas of the headspace (20mL of synthetic air, Air Liquid Belgium) equilibrated with the water sample (total volume 60mL) for water samples and directly on gas stored in Exetainers for gas samples from the bubble traps. The gas samples were diluted to obtain a final partial pressure of CH<sub>4</sub> in the cavity below 10 ppm to fall within the recommended operational concentration range of the instrument, prior to injection into a cavity ring-down spectrometer (G2201-I, Isotopic Analyzer, Picarro) with a Small Sample Introduction Module 2 (SSIM, Picarro). Data were corrected with curves of δ<sup>13</sup>C-CH<sub>4</sub> as a function of concentration based on two gas standards from Airgas Specialty Gases with certified δ<sup>13</sup>C-CH<sub>4</sub> values of -23.9±0.3 ‰ and -69.0±0.3 ‰.</p> <p><strong>Chlorophyll-a, total suspended matter, and dissolved inorganic nutrients</strong></p> <p>Water was filtered through Whatman GF/F glass microfiber filters (porosity 0.7 µm) with a diameter of 47 mm for total suspended matter (TSM) and Chlorophyll-<em>a</em> (Chl-<em>a</em>). Filters for TSM were dried in the oven at 50C° and filters for Chl-<em>a</em> were kept frozen (-20°C). The weight of each filter was determined before and after filtration of a known volume of water using an Explorer™ Pro EP214C analytical microbalance (accuracy: ±0.1mg) for determination of TSM. Filtered water was stored in 50 mL plastic bottles and frozen (-20°C) for analysis of dissolved nutrients. Chl-<em>a</em> was measured on extracts with 90% acetone by fluorimetry (Kontron model SFM 25) (Yentsch and Menzel, 1963) with a limit of detection of 0.01 µg L<sup>-1</sup>. Ammonium (NH<sub>4</sub><sup>+</sup>) was determined by the nitroprusside-hypochlorite-phenol staining method (Grasshoff and Johannsen, 1972), with a limit of detection of 0.05 µmol L<sup>-1</sup>. Nitrite (NO<sub>2</sub><sup>-</sup>) and nitrate (NO<sub>3</sub><sup>-</sup>) were determined before and after reduction of NO<sub>3</sub><sup>-</sup> to NO<sub>2</sub><sup>-</sup> by a cadmium-copper column, using the Griess acid reagent staining method (Grasshoff and Kremling, 2009), with a detection limit of 0.01 and 0.1 µmol L<sup>-1</sup>, respectively. Soluble reactive phosphorus (SRP) was determined by the ammonium molybdate, ascorbic acid and potassium antimony tartrate staining method (Koroleff, 1983), with a limit of detection of 0.1 µmol L<sup>-1</sup>. Concentration of dissolved inorganic nitrogen (DIN) was calculated as the sum NH<sub>4</sub><sup>+</sup>, NO<sub>2</sub><sup>-</sup> and NO<sub>3</sub><sup>-</sup> concentrations.</p> <p> </p> <p>Borges, A.V., Darchambeau, F., Lambert, T., Morana, C., Allen, G.H., Tambwe, E., and Bouillon, S.: Variations in dissolved greenhouse gases (CO2, CH4, N2O) in the Congo River network overwhelmingly driven by fluvial-wetland connectivity. Biogeosciences 16 (19), 3801–3834. <a href="https://doi.org/10.5194/bg-16-3801-2019">https://doi.org/10.5194/bg-16-3801-2019</a>, 2019.</p> <p>Grasshoff, K., and Johannsen, H.: A new sensitive and direct method for the automatic determination of ammonia in sea water. ICES J. Mar. Sci. 34 (3), 516–521. <a href="https://doi.org/10.1093/icesjms/34.3.516">https://doi.org/10.1093/icesjms/34.3.516</a>, 1972.</p> <p>Grasshoff, K., Kremling, K., and Ehrhardt, M.: Methods of Seawater Analysis: Determination of Nitrite. John Wiley & Sons, 2009.</p> <p>Koroleff, J.: Determination of total phosphorus by alkaline persulphate oxidation. Methods of Seawater Analysis. Verlag Chemie, Wienheim, pp. 136–138, 1983.</p> <p>Weiss, R. F.: Determinations of carbon dioxide and methane by dual catalyst flame ionization chromatography and nitrous oxide by electron capture chromatography. J. Chromatogr. Sci. 19, 611–616. <a href="https://doi.org/10.1093/chromsci/19.12.611">https://doi.org/10.1093/chromsci/19.12.611</a>, 1981.</p> <p>Yentsch, C.S., and Menzel, D.W.: A method for the determination of phytoplankton chlorophyll and phaeophytin by fluorescence. In: Deep Sea Research and Oceanographic Abstracts, 10. Elsevier, pp. 221–231. <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/0011-7471(63)90358-9" target="_blank" rel="noopener">https://doi.org/10.1016/0011-7471(63)90358-9</a>, 1963. </p>
AFFIRMO NCC's Training Session 19 December 2023
Open the record for dataset details and reuse information.
Rock-magnetic, paleomagnetic and paleointensity data from a lava flow erupted on 4 December 2021 in La Palma (Canary Islands, Spain)
<p><span>The folder “1 Rock magnetic data VFTB La Palma” contains data in .txt format of IRM acquisition curves (extension .irm), hysteresis curves (extension .hys), backfield curves (extension .coe) and thermomagnetic curves (extension .rmp) obtained on a lava flow erupted on December 4<sup>th</sup>, 2021 in La Palma (Canary Islands, Spain). Extension .rmp files including Ms-T in their file name are for magnetisation vs. temperature measurements and those including k-T in their file name are for susceptibility vs. temperature measurements. Thermomagnetic and hysteresis measurements were first performed on original specimens and then again on the same specimens after having been heated. Files including “antes” in their filename are the original measurements and those including “despues” in their file name correspond to heated samples. All measurements were performed on a Variable Field Translation Balance (VFTB) in the paleomagnetic laboratory of the University of Burgos (Spain). Columns are separated by tabs. Data can be visualised and analysed with the </span><span>RockMagAnalyzer 1.0 software (Leonhardt, 2006).</span></p> <p><span> </span></p> <p><span>The folder “2 Rock magnetic data k_fd and IRM analysis” contains four files of IRM acquisition data for the analysis of coercivity spectra (CV2-4ir0.asc, CV2-4ir7.asc, CV2-17i0.asc, CV2-17i7.asc) and one file with low- and high-frequency (470 and 4750 Hz) susceptibility data (susceptibility.asc) </span><span>obtained on a lava flow erupted on December 4<sup>th</sup>, 2021, in La Palma (Canary Islands, Spain). All files have an .asc extension containing characters in ASCII format.<a name="_Hlk171719051"></a> </span></p> <p><span><span>IRM acquisition data: (i) </span></span><span><span>File CV2-4ir0.asc</span></span><span>: progressive IRM acquisition of sample CV02-04 with remanence measurement immediately after field application. (ii) File CV2-4ir7.asc: progressive IRM acquisition of sample CV02-04 with remanence measurement 7 minutes after field application. (iii) File CV2-17i0.asc: progressive IRM acquisition of sample CV02-17 with remanence measurement immediately after field application. (iv) </span><span>File CV2-17i7.asc:</span><span> progressive IRM acquisition of sample CV02-17 with remanence measurement 7 minutes after field application. Column 1: measurement number; column DEMAG: first step<span> </span>(100mT) is zero value after AF demagnetisation at 100 mT, following values are IRM acquisition field steps in mT; columns CD, CI, ISD, ISI, RD, RI are declination and inclination values in sample, field corrected and bedding corrected coordinates; column M: magnetic moment in emu; column J: magnetisation in emu/g; columns X, Y, Z display magnetic moment X, Y and Z coordinates. As in IRM acquisition experiments the applied field was directed towards the sample z-axis, IRM values can be obtained by dividing column Z by the sample mass value (given in g), which is found under the tag “SIZE”.<span> </span>Coercivity spectra analysis has been performed with the MAX UnMix software (Maxbauer et al., 2016).</span></p> <p><span>File susceptibility.asc includes data from three </span><span>low-frequency (LF) and three high-frequency (HF) susceptibility measurements performed on two samples.</span></p> <p><span> </span></p> <p><span>The folder “3 Rock magnetic data FORC” contains three files with first order reversal curves data data obtained on three samples from a lava flow erupted on December 4<sup>th</sup>, 2021, in La Palma (Canary Islands, Spain). Data can be analysed using the </span><span>FORCinel software (Harrison and Feinberg, 2008).</span></p> <p><span> </span></p> <p><span>The folder “4 Paleomagnetic data La Palma” contains two folders with paleomagnetic thermal and alternating field demagnetisation data obtained on a lava flow erupted on December 4<sup>th</sup>, 2021, in La Palma (Canary Islands, Spain). Measurements were performed with a cryogenic magnetometer in the paleomagnetic laboratory of the University of Burgos (Spain). Data are in .txt format with the extension .rs3. Columns are separated by empty spaces. In AF measurements, a value of 100 must be subtracted from all AF demagnetisation steps to obtain the real AF-step value (i.e., a demagnetisation step of 165 really means 65 mT). Data can be visualised and analysed with the </span><span>Remasoft software (Chadima and Hrouda, 2006).</span></p> <p><span> </span></p> <p><span>The folder “</span><span>5 Thellier-Coe paleointensity data</span><span>” contains paleointensity determination data obtained with the Thellier-Coe method on a lava flow erupted on December 4<sup>th</sup>, 2021 in La Palma (Canary Islands, Spain). Experiments were carried out at the paleomagnetic laboratory of the University of Burgos (Spain). Data are in .txt format with the extension .tdt separated by tabs. Data can be visualised and analysed with the </span><span>ThellierTool software (Leonhardt et al.,2004).</span></p> <p><span> </span></p> <p><span>The folder “6 Multispecimen paleointen</span><span>sity data” contains a file (CVC02_MSP_Am2.txt) with </span><span>data of 3 paleointensity determinations from the Tajogaite volcano eruption on December 4th, 2021, in the island of La Palma (Canary Islands, Spain). These data were obtained with the multispecimen method (Biggin and Poidras, 2006; Dekkers and Böhnel, 2006; Fabian and Leonhardt, 2010) at the paleomagnetic laboratory of the University of Burgos (Spain). The data are in the "MSP generic format" for the online application Paleoinetnsity.org (Béguin et al., 2020), Multispecimen Protocol option. Each determination consists of five different heating steps (m0, m1, m2, m3 and m4) applied to 8 different specimens.</span></p> <p><span> </span></p> <p><span>The folder “7 Tsunakawa-Shaw paleointensity” contains four folders with paleointensity determination data obtained with the Tsunakawa-Shaw method. The folder named “csv” contains the outcome of the best fit interpretation performed by the Jupyter notebook. The folder “d” contains the original demagnetization data obtained for each specimen. The folder “MagIC” contains the outcome compatible with MagIC software. The folder “plots” contains the outcome plots of the best fit interpretation in .pdf format. These experiments were carried out in the <em>Paleomagnetism Laboratory at the Kochi Core Centre in Kochi University, Japan</em>. Data can be visualised and analysed through Jupyter, using the “TS_analysis_G-cubed_r20230714_cvc02” available in the folder. </span></p> <p><strong><span> </span></strong></p> <p><strong><span>REFERENCES</span></strong></p> <p><span> </span></p> <p><span>Béguin, A., Paterson, G. A., Biggin, A. J., & de Groot, L. V. (2020).<span> </span>Paleointensity org: an online, open source, application for the interpretation of paleointensity data. Geochemistry, Geophysics, Geosystems, 21, e2019GC008791,</span> <span>https://doi.org/10.1029/2019GC008791<span> </span>.</span></p> <p><span>Biggin, A., Poidras, T., 2006. First-order symmetry of weak-field partial thermoremanence in multi-domain ferromagnetic grains. 1. Experimental evidence and physical implications. Earth Planet. Sci. Lett. 245, 438–453. doi:10.1016/j.epsl.2006.02.035</span></p> <p><span>Chadima, M. and Hrouda, F., 2006. Remasoft 3.0 a user friendly paleomagnetic data browser and analyzer. <em>Travaux Géophysiques</em>, XXVII, 20-21.</span></p> <p><span>Dekkers, M.J., Böhnel, H.N., 2006. Reliable absolute palaeointensities independent of magnetic domain state. Earth Planet. Sci. Lett. 248, 507–516. doi:10.1016/j.epsl.2006.05.040</span></p> <p><span>Fabian, K., Leonhardt, R., 2010. Multiple-specimen absolute paleointensity determination: An optimal protocol including pTRM normalization, domain-state correction, and alteration test. Earth Planet. Sci. Lett. 297, 84–94. doi:10.1016/j.epsl.2010.06.006</span></p> <p><span>Harrison, R.J. and Feinberg, J.M. (2008), FORCinel: An improved algorithm for calculating first-order reversal curve distributions using locally weighted regression smoothing. <em>Geochem. Geophys. Geosyst.</em>, 9, Q05016, doi:10.1029/2008GC001987.</span></p> <p><span>Leonhardt, R., Heunemann, C. and Krása, D., 2004. Analyzing absolute paleointensity determinations: Acceptance criteria and the software ThellierTool4.0. <em>Geochem. Geophys. Geosyst.</em>, Vol. 5, no. 12, doi.: 10.1029/2004GC000807.</span></p> <p><span>Leonhardt, R., 2006. Analyzing rock magnetic measurements; The RockMagAnalyzer 1.0 software. <em>Computers and Geosciences</em>, 32, 1420-1431.</span></p> <p><span><span> </span></span><span>Maxbauer, D.P., Feinberg, J.M., Fox, D.L., 2016. MAX UnMix: A web application for unmixing magnetic coercivity distributions. <em>Comput. Geosci.</em> 95, 140–145. https://doi.org/10.1016/j.cageo.2016.07.009</span></p>
Data (electrical conductivity, rainfall depth, water level and turbidity) registered at Bologna wastewater treatment plant from mid-May to December 2024
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AppSet: Most Popular Google Play Apps in December 2023
<p>APK files obtained from AndroZoo and metadata retrieved from Google Play for the most popular apps for all app categories from Google Play in December 2023. Used in our ACSAC'24 paper "Manifest Problems: Analyzing Code Transparency for Android Application Bundles".</p>
INTENSIVE LISTENING LECTURE NOTE 2024 [AUGUST TO DECEMBER]
<p>1st Semester Level<br>odd semester<br>Thobias Sarbunan | Intensive Listening | August to December 2024</p>
Posts published on Facebook (December 26 2020 - June 26 2021)
<p><strong>Skrzypek, Maciej, Posts published on Facebook (December 26 2020 - June 26 2021).<br></strong></p> <p><strong>This dataset was elaborated for the research project <em>Civil Disorder in Pandemic-ridden European Union</em>. The latter was financially supported by the National Science Centre, Poland [grant number 2021/43/B/HS5/00290].</strong></p>
Local Time Variations of Quiet Time Meridional Winds during June and December based on ICON Observations and Numerical Simulations
<p>The file named '<a href="../api/records/12139509/draft/files/geomagnetic%20index.mat/content" target="_blank" rel="noopener noreferrer">geomagnetic index</a>' includes Kp, F10.7p, By and Bz indices, AE and Dst indices. The file named '<a href="../api/records/12139509/draft/files/MWjym12.mat/content" target="_blank" rel="noopener noreferrer">MWjym06</a>', '<a href="../api/records/12139509/draft/files/MWjym12.mat/content" target="_blank" rel="noopener noreferrer">MWjym12</a>' are the meridional winds of ICON observations in June and December. The file named '<a href="../api/records/12139509/draft/files/VN_mean06.mat/content" target="_blank" rel="noopener noreferrer">VN_mean06</a>', '<a href="../api/records/12139509/draft/files/VN_mean06.mat/content" target="_blank" rel="noopener noreferrer">VN_mean12</a>' , '<a href="../api/records/12139509/draft/files/VN_mean06.mat/content" target="_blank" rel="noopener noreferrer">VNnotide_mean06</a>','<a href="../api/records/12139509/draft/files/VN_mean06.mat/content" target="_blank" rel="noopener noreferrer">VNnotide_mean12</a>' include the parameters of TIEGCM simulated meridional winds and the forcing terms with and without tides in June and December. The file named 'F107_70' is the simulation in December in F10.7=70.</p>
Data from: "Identification of SNP markers for the endangered Ugandan red colobus (Procolobus rufomitratus tephrosceles) using RAD sequencing" in Genomic Resources Notes accepted 1 December 2014 to 31 January 2015
Despite dramatic growth in the field of primate genomics over the past decade, studies of primate population and conservation genomics in the wild have been hampered due to the difficulties inherent in studying non-model organisms and endangered species, such as lack of a reference genome and current challenges in de novo primate genome assembly. Here, we used Restriction-site Associated DNA (RAD) sequencing to develop a population-based SNP panel for the Ugandan red colobus (P. rufomitratus tephrosceles), which is a highly threatened monkey due to habitat loss. We analyzed blood samples from 24 individuals from Kibale National Park (Uganda) using single-end RAD sequencing. We obtained 70,773,857 reads, of which 58,814,906 passed the filtering steps. Using the program STACKS v. 1.11 we identified 113,376 loci, of which 50,558 were polymorphic and had a mean observed heterozygosity of 0.25. These data will be used to study the effects of habitat fragmentation on genomic diversity, dispersal, and disease transmission in this species. Our approach provides a good example of the potential of RAD sequencing in studies of wild primate populations.
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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.