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361 results for “January”
Possibilities to resist adopting quasi-militant democracy means. From: January 22, 2020. To: April 12, 2021.
<p>This database draws on Our World in Data. It 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].</p>
Auroral Photos Taken by Jeff Dai in Iceland on January 16, 2024
<p>Photos of an auroral-curl event taken by a citizen scientist, Jeff Dai. This event occurred on January 16, 2024, near the Kerid Crater in Iceland. These photos were taken before local midnight with his SONY ILCE-7RM5 camera. Two lenses with different focal lengths operated simultaneously: one is 8.00 mm, and the other is 14.00 mm. These photos were taken continuously with an exposure time of 2.5 s each.</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.
DATASET: Forecast made on January 11, 2021 for the second Covid-19 wave based on the improved SIR model with a constant ratio of recovery to infection rate
<p>The temporal evolution of second and subsequent waves of the Covid-19 pandemic is investigated. Analytic expressions for the peak time and asymptotic behaviors, early doubling time, late half decay time, and a half-early peak law, characterizing the dynamical evolution of number of cases and fatalities are derived, where the pandemic evolution exhibiting multiple waves is described by the semi-time SIR model. The asymmetry of the epidemic wave and its exponential tail are affected by the initial conditions; a feature that has no analogue in the all-time SIR model. Our analysis reveals that the immunity is very strongly increasing during the 2nd wave. Wave-specific SIR parameters describing infection and recovery rates we find to behave in a similar fashion. Still, an apparently moderate change of their ratio can have significant consequences. As we show, the probability for an additional wave is however low in several countries due to the fraction of immune inhabitants at the end of the 2nd wave, irrespective the currently ongoing vaccination efforts. We compare with alternate approaches and data available at the time of submission. Most recent data serves to demonstrate the successful forecast and high accuracy of the SIR-model in predicting the evolution of pandemic outbreaks.</p>
Neural Network Radiation Emulator (KMA/NIMS), January
<p>The dataset is a part of https://doi.org/10.5281/zenodo.5220712 (January)</p> <p> </p>
Comprehensive observation data in Xiangyang for the period January 3 to January 9, 2019
<p>This dataset presents the comprehensive observation data used in the analysis of a heavy pollution event in Xiangyang for the period January 3 to January 9, 2019. The data of meteorological elements, turbulence variables, temperature profile, PBL height, inversion-layer, relatively humidity profile, vertical distribution of PM<sub>2.5</sub>, wind speed and direction was available in each sheet of the Excel file.</p>
FIGURE 14. Average daily rainfall from 17 January 2011 in A new cryptic species of glassfrog (Centrolenidae: Nymphargus) from Reserva Las Gralarias, Ecuador
FIGURE 14. Average daily rainfall from 17 January 2011 to 1 July 2011, measured in mm. Calling males of Nymphargus griffithsi were observed from 27 February 2011 until 14 April 2011; calling males of N. lasgralarias sp. nov. were observed from 17 March 2011 until 1 July 2011. Rainfall was measured using a weather station on site at the reserve.
COVID-related tweets in the period between January and May 2020
<p>Online platforms play a relevant role in the creation and diffusion of false or misleading news. Concerningly, the COVID-19 pandemic is shaping a communication network which reflects the emergence of collective attention towards a topic that rapidly gained universal interest. Here, we characterize the dynamics of this network on Twitter, analysing how unreliable content distributes among its users. We find that a minority of accounts is responsible for the majority of the misinformation circulating online, and identify two categories of users: a few active ones, playing the role of 'creators', and a majority playing the role of 'consumers'. The relative proportion of these groups (approx. 14% creators—86% consumers) appears stable over time: consumers are mostly exposed to the opinions of a vocal minority of creators (which are the origin of 82% of fake content in our data), that could be mistakenly understood as representative of the majority of users. The corresponding pressure from a perceived majority is identified as a potential driver of the ongoing COVID-19 infodemic.</p>
Grond reports for the seismic moment tensor inversions done for "The January 2022 Hunga Volcano explosive eruption from the multi-technological perspective of CTBT monitoring"
<p>This are the Grond reports of the seismic moment tensor inversion done for the manuscript submitted to GJI titled:</p> <p>"The January 2022 Hunga Volcano explosive eruption from the multi-technological perspective of CTBT monitoring"</p> <p>You can view the summary figures of the inversions in the subfolders for each event manually if you wish.</p> <p>However to view the reports interactively you need to have the pyrocko and grond softwares installed. See here for installation instruction for pyrocko: https://pyrocko.org/ and here for grond https://pyrocko.org/grond/docs/current/</p> <p>After correct installation you can view the reports in any browser by executing the command "grond report --so" in the folder which contains the unpacked "report" folder.</p>
PSKRIPS Version 1 - Data for January Case.
<p><strong>This folder contains the file required to run the January Case of the Polar version of the Scripps-Kaust model.</strong><br> <strong>Information on this coupled model can be found in the paper that will be submitted to Geosciences Model Developments : Malyarenko, A., Gossart, A., Sun, R. and Krapp, M.: Conservation of heat and mass in P-SKRIPS: the coupled atmosphere-ice-ocean model of the Ross Sea.</strong></p> <p><strong>Folders JanuaryCase 1 and 3 contain partial data needed to replicate the January case. Folder januaryCase2 is published with the main code in a separate Zenodo upload. </strong></p>
Population data for Dodonaea serratifolia targeted surveys January 2023
<p>Population data for Dodonaea serratifolia targeted surveys January 2023</p>
Population data for Callitris monticola targeted surveys January 2023
<p>Population data for Callitris monticola collected during targeted surveys during January 2023. Data collection follows the Flora Connections protocol</p>
Continuous data of air temperature, relative humidity, and air pressure collected at Kyoto University in January 2022
<p>I present the continuous data of air temperature, relative humidity, and air pressure collected at the Kyoto-A gravity measurement room (latitude: 35.02938 N, longitude: 135.78347 E, elevation: 60.82 m), Graduate School of Science, Kyoto University in January 2022. The values of air temperature, relative humidity, and air pressure were obtained every 1 second by a BME280 sensor (Bosch Sensortec GmbH) on a RT-USB-THP module (RT Corporation). The data were time-stamped and recorded using the Tera Term software on a Windows PC, which was synchronized in time with the NTP server of NICT (ntp.nict.jp).</p> <p>photo.zip contains the photographs of the Kyoto-A gravity measurement room taken in December 2022. The RT-USB-THP module and the Windows PC were located on the basement rock of the Kyoto-A absolute gravity point.</p> <p>data.zip contains the continuous data of air temperature, relative humidity, and air pressure collected at the Kyoto-A gravity measurement room. Each file of 2201??.txt stores the data obtained from 11:55 JST of the corresponding day to 11:54 JST of the next day, according to the operating time of the Tera Term software. The columns in 2201??.txt are as follows from left to right: year, month, day, hour, minute, second, air temperature [degC], air pressure [hPa], and relative humidity [%]. Note that 220101.txt was not recorded due to the failure of the Windows PC on January 1, 2022.</p> <p>figure.zip contains the graphs of air temperature, relative humidity, and air pressure drawn using the GMT4 software. Each graph of 2201??.png shows the time variation in air temperature, relative humidity, and air pressure from 0:00 JST to 24:00 JST of the corresponding day. tonga.png shows the air pressure variation from 12:00 JST on January 15 to 11:54 JST on January 16, and its original data is available as 220115.txt in data.zip. The pressure change of about 2 hPa was observed around 20:40 JST on January 15, associated with the propagation of the Lamb wave generated by the massive eruption of the Hunga Tonga-Hunga Ha’apai volcano.</p>
Continuous data of unconfined groundwater level recorded at Isawa Fan (Iwate Prefecture, northern Japan) from January 2008 to July 2021
<p>We present the continuous data of unconfined groundwater level recorded at Mizusawa Campus, National Astronomical Observatory of Japan (hereafter referred to as NAOJ Mizusawa), located in the central part of Isawa Fan, Iwate Prefecture, northern Japan. In 2008, we installed a water pressure gauge (Mini-Diver DI501, Van Essen Instruments B.V.) at each of four shallow wells located around the gravity observation building of NAOJ Mizusawa, to monitor temporal variations in the water level at NAOJ Mizusawa. We also installed a barometer (Baro-Diver DI500, Van Essen Instruments B.V.) above the water level at the northern well, to subtract the effect of air pressure changes from the water pressure changes observed in the groundwater. The unconfined groundwater levels have been continuously measured with these instruments at 5-minute intervals, and the water level data have been used in some studies (Kazama et al., 2012; Tamura et al., 2023) to model gravity changes due to spatiotemporal variations in underground water such as soil water and groundwater.</p> <p>PNG files in map.zip shows the location of NAOJ Mizusawa with the aerial photographs obtained from Google Earth Pro. The red pin denoted by SG indicates the gravity observation building, in which a superconducting gravimeter have been recording gravity continuously (Kazama et al., 2012; Tamura et al., 2023). Yellow pins around the gravity observation building indicate the shallow wells to monitor unconfined groundwater levels.</p> <p>JPG files in photo.zip are the photographs taken on October 3, 2008, when the water pressure gauges were installed at the four wells in NAOJ Mizusawa. A water pressure gauge was connected to the top of a well by a metal wire of about 5 m in length, and installed into the groundwater in the well.</p> <p>data.zip contains the time series of unconfined groundwater level recorded at NAOJ Mizusawa from January 2008 to July 2021. The time series from 2008 to 2010 indicates the average water level of the four water wells (see Kazama et al., 2012 in detail). In and after 2011, however, we were unable to obtain the average water level, because some of the four water gauges failed. Alternatively, we here used the water level data observed at the eastern well from 2011 to 2013, assuming that the variation of the water level at each well is consistent with that of the average water level. We also used the water level data observed at the northern well from 2014 to 2021. Note that we corrected for artificial steps in the water level caused by the switching of the water gauges to be used.</p> <p>Each file of 20xx.txt in data.zip stores the times series of water level in the year of 20xx (xx = 08, 09, ..., 21). The water level was recorded every 5 minutes and time-stamped in Japan Standard Time (JST). Each column of 20xx.txt means as follows: ($1) year, ($2) month, ($3) day, ($4) day of year, ($5) hour, ($6) minute, ($7) time [day] from 00:00 in January 1, ($8) water level [cm] of unconfined groundwater relative to ground surface. For example, the value of -51.88 for the eighth column means that the water table is located at a depth of 51.88 cm below the ground surface.</p> <p>Note that the file of 2011.txt stores incorrect water level values from March 28 to April 25, 2011, because we were unable to collect the data during this period due to the 2011 Tohoku earthquake. Therefore, we additionally provide a file of 2011_modified.txt, in which synthetic water level values are stored for the period from March 28 to April 25. The synthetic water level was calculated by assuming a linear response to precipitation of 16.5 cm/cm and a constant decrease in water level of -3 cm/day. These parameters were determined from the water level and precipitation data observed at NAOJ Mizusawa in March 2011.</p> <p>Each file of 20xx.png in figure.zip shows the time variation of unconfined groundwater level at NAOJ Mizusawa in the year of 20xx. The water level rises rapidly due to rainfall and decreases exponentially after rainfall. The water level typically changes in the range of 1-3 m below the ground surface, but it becomes shallower than 1 m during heavy rainfall events. It also becomes deeper than 3 m below the ground surface during extreme dry periods such as in August 2011 and September 2012.</p>
Identifying perturbations that tipped the stratosphere into a sudden warming during January 2013
<p>Climate model data utilised to create the paper figures.</p>
CSS-2: GW analysis January 2006
<p>S3D analyses of simulated temperature retrievals; Jan 2006</p>
MALE TORSO - Sculpt January Day 22
I was working on a male character for an indie game and I figured "Hey, why don't I post my Torso of this Merfolk Creature". I used to do a lot of wood working years ago, so I wanted to show that in the etxtures :) The prompt was Anatomy Male Torso. The texture is one of the Wood Smart Materials from 3dCoat. Source: Objaverse 1.0 / Sketchfab
A Prospective Study of Traumatic Eye Injuries in the Period From January 2022 to June 2022 in Sohag University Hospitals
ClinicalTrials.gov study NCT05164588. IPD Sharing: UNDECIDED. Countries: 1. Publications: 3.
A Retrospective Comparison of Neonatal Acid-base Status After CD Before January, 2015 and After January, 2016
ClinicalTrials.gov study NCT03455660. IPD Sharing: NO. Countries: 1. Publications: 5.
Analysis of Patients Treated for Chronic Granulomatous Disease Since January 1, 1995
ClinicalTrials.gov study NCT02116764. IPD Sharing: Not stated. Countries: 1. Publications: 3.
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.