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255 results for “February”
Fig. 1. Pelomedusa galeata from the Ratelfontein farm near Calvinia observed directly after rainfall, 16 February 2019 in Mind the gap-Is the distribution range of Pelomedusa galeata really disjunct in western South Africa?
Fig. 1. Pelomedusa galeata from the Ratelfontein farm near Calvinia observed directly after rainfall, 16 February 2019. For the location of the farm, see Fig. 2 (locality 1). Photos: C.A. van Niekerk.
Figure 1. Air temperature and rainfall during the study between February 2015 and January 2016 in Intra-annual colonization of Chironomidae on leaf litter in a Brazilian Cerrado stream
Figure 1. Air temperature and rainfall during the study between February 2015 and January 2016 in the Boiadeiro stream, Mucugê, BA, Brazilian Cerrado. Data: http://www.snirh.gov.br/hidroweb/ serieshistoricas (Hidroweb 2020).
Data for publication "The Thermosphere was Poorly Predictable not Only During but also Before and After the Starlink Storm on 3-4 February 2022"
<p>This dataset are used to plot figures in the article "The Thermosphere was Poorly Predictable not Only During but also Before and After the Starlink Storm on February 3-4, 2022". Data files in CSV (comma-separated values) format contain modeling and observational values. Modeling values obtained from the Field Line Interhemispheric Plasma (FLIP) model and Arctic MERRA-2 Wind model. Observational values consist the ionosonde measurments, planetary geomagnetic (Kp) and solar activity indices (F10.7), variations of the solar wind parameters. Data files contain data for the period from February 1 to 9, 2022 and from December 21 to 23, 2021. </p>
Precipitation and Temperature data from the on-site weather station at the Rüdersdorf limestone quarry near Berlin, Germany, from January 2023 to February 2024
<p>The weather data from the on site station is provided as Temperature [°C] every 5 minutes and the daily sums of Precipitation [mm]. </p>
#WomensMarch crawl; January 29-February 25, 2017
<p>Consists of a web crawl of unique URLs tweeted with the #WomensMarch hashtag. #WomensMarch collection took place from January 21-28, 2017. Unique URLs were extracted from the dataset, and harvested with Heritrix on January 29-February 25, 2017.</p>
FIG, 1. John William Daly (1933–2008) on the upper Río San Juan. This paper is dedicated to John Daly, our late friend and colleague, who helped collect three of the new species here described. In addition to his globally acclaimed discoveries in chemistry and pharmacology, John was an accomplished field herpetologist who contributed importantly to the systematics and natural history of dendrobatoid frogs (see Grant et al., 2006; Myers, 2009). This photograph shows John at age 37, with the upper Río San Juan behind him and branches overhead of a madroño tree (probably Garcinia magnifolia, syn. Rheedia chocoensis, Clusiaceae). When in South America, John was never far from a dendrobatid frog—this time, in the tree above his head, a tiny, undescribed semiarboreal species (also collected and later named "Dendrobates fuguritus" by our colleague Philip Silverstone). Other dendrobatids found nearby included Phyllobates aurotaenia (Boulenger, 1913), which was then being used for poisoning blowgun darts, and also the nontoxic species that we name Silverstoneia dalyi herein. (Photograph by C. W. Myers, 2 km above Playa de Oro, Chocó, February 16, 1971.) in Review of the Frog Genus Silverstoneia, with Descriptions of Five New Species from the Colombian Chocó (Dendrobatidae: Colostethinae)
FIG, 1. John William Daly (1933–2008) on the upper Río San Juan. This paper is dedicated to John Daly, our late friend and colleague, who helped collect three of the new species here described. In addition to his globally acclaimed discoveries in chemistry and pharmacology, John was an accomplished field herpetologist who contributed importantly to the systematics and natural history of dendrobatoid frogs (see Grant et al., 2006; Myers, 2009). This photograph shows John at age 37, with the upper Río San Juan behind him and branches overhead of a madroño tree (probably Garcinia magnifolia, syn. Rheedia chocoensis, Clusiaceae). When in South America, John was never far from a dendrobatid frog—this time, in the tree above his head, a tiny, undescribed semiarboreal species (also collected and later named "Dendrobates fuguritus" by our colleague Philip Silverstone). Other dendrobatids found nearby included Phyllobates aurotaenia (Boulenger, 1913), which was then being used for poisoning blowgun darts, and also the nontoxic species that we name Silverstoneia dalyi herein. (Photograph by C. W. Myers, 2 km above Playa de Oro, Chocó, February 16, 1971.)
Star Trails And Lava Plume on Mount Etna February 2021, by Dario Giannobile, Italy
<p>Third place in the IAU OAE Astrophotography Contest, category Star trails.</p> <p>This spectacular image captures some of the most dramatic expressions of Nature, the eruption of a volcano and the night sky. The volcano in the foreground is Mount Etna, located in Sicily/Italy, during an eruption in February 2021. In the background, we can see the star trails resulting from the Earth's motion around its imaginary axis. As Mount Etna is located about 37° N, we can notice that the arcs are quite open, as this is far from the North Pole, from where the view from the sky would provide traces drawing circles. As we move to the Equator, either from the Southern or Northern Hemisphere, the star traces become more and more parallel, instead of circular, as the viewer moves away from the zenith pointing to one of the Earth's rotational axes. Therefore, the sky presents us with valuable information about location and time and was an important practice for ancient civilizations to follow the movement of the celestial bodies. The image also captures the varying colours of stars which result from differece in the temperature of stars: higher temperature stars are bluer, compared to the lower temperature white and red stars.</p> <p>Credit: Dario Giannobile/IAU OAE</p>
Files digitised by the National Archives of Australia, 25 February 2021 to 24 December 2022
<p>This dataset contains details of 731,079 files digitised by the National Archives of Australia in 2021 and 2022.</p> <p>The National Archives of Australia's online database, RecordSearch, includes a list of recently digitised files, but the list only includes files digitised in the last month. This dataset was created by combining regular harvests of this list to create a continuous record of files digitised from 2021 and 2022. It was created and shared to help document long-term changes in access to files held by the NAA.</p> <p>The <a href="https://github.com/GLAM-Workbench/recordsearch/blob/master/data/recently-digitised-20210327">first harvest</a> was run on 27 March 2021 and captured details back to 25 February. Since then I have automatically run weekly harvests and saved them in <a href="https://github.com/wragge/naa-recently-digitised">this repository</a>. At the end of 2022, changes to RecordSearch broke the harvesting script, so I ran an extra harvest of the previous month on 20 January 2023 to make sure nothing was missed. I combined all the harvests into a single dataset, filtered it to include only 2022, and removed any duplicates. I also added series titles. The harvesting method is documented in <a href="https://glam-workbench.net/recordsearch/#harvest-recently-digitised-files-from-recordsearch">this notebook</a>.</p> <p>The dataset is saved in CSV format and includes the following columns:</p> <ul> <li><code>title – </code>the title of this file</li> <li><code>item_id – </code>the identifier of this file</li> <li><code>series – </code>the identifier of the series that contains this item</li> <li><code>control_symbol – </code>the control symbol of this file</li> <li><code>date_range – </code>the date range of the item's contents</li> <li><code>date_digitised – </code>the date the file was digitised</li> <li><code>series_title – </code>title of the series that contains this item</li> </ul> <p>You can construct a url to a digitised file using the <code>item_id</code>. For example:</p> <p><code>http://recordsearch.naa.gov.au/scripts/AutoSearch.asp?O=I&Number=[item_id]</code></p> <p>For more information on harvesting data from RecordSearch, see the <a href="https://glam-workbench.net/recordsearch/">GLAM Workbench</a>.</p>
Pre-seismic Sentinel-1 PSI surface motion measurements for the area affected by the February 2023 Türkiye–Syria earthquakes
<p>We have processed Copernicus Sentinel-1A data from 01/2019 to 01/2023 (descending track 21) over the broader area (approx. 48400 sq. km) affected by February 6, 2023, M7.8 and M7.5 earthquakes in Türkiye and Syria, utilizing the SNAPPING Persistent Scatterers Interferometry (PSI) medium resolution service of the Geohazards Exploitation Platform (GEP; <a href="https://geohazards-tep.eu">https://geohazards-tep.eu</a>).</p> <p>Measurements contain average Line-of-Sight (LoS) velocities, corresponding uncertainties, and the complete displacement time series. Please note that the original dataset of about 2M point measurements was split into parts, each containing 200k points, to facilitate easier manipulation and visualization.</p> <p>References</p> <p>[1] Foumelis, M.; Delgado Blasco, J.M.; Brito, F.; Pacini, F.; Papageorgiou, E.; Pishehvar, P.; Bally, P. SNAPPING Services on the Geohazards Exploitation Platform for Copernicus Sentinel-1 Surface Motion Mapping. Remote Sens. 2022, 14, 6075. <a href="https://doi.org/10.3390/rs14236075">https://doi.org/10.3390/rs14236075</a></p> <p>[2] SNAPPING – Surface motioN mAPPING Sentinel-1 on-demand processing service, Online tutorial, <a href="https://docs.terradue.com/geohazards-tep/tutorials/Snapping.html">https://docs.terradue.com/geohazards-tep/tutorials/Snapping.html</a>.</p>
LPL16 - February 2023
<p>Measurements of LPL16 (Caceres) in February 2023</p> <p>Provincia de Cáceres</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL16">info</a></p>
LPL15 - February 2023
<p>Measurements of LPL15 (Badajoz) in February 2023</p> <p>Provincia de Badajoz</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL15">info</a></p>
LPL2 - February 2023
<p>Measurements of LPL2 (Caldera de Taburiente NP) in February 2023</p> <p>La Palma</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL2">info</a></p>
Initial Observations for the Destructive Earthquake Doublet of 6 February 2023 in South-Central Türkiye and Northwestern Syria
<p>This dataset is provided as supplementary material to the published paper "The Destructive Earthquake Doublet of 6 February 2023 in South-Central Türkiye and Northwestern Syria : Initial Observations and Analyses" (<em>The Seismic Record</em>, <a href="https://urldefense.com/v3/__https://doi.org/10.1785/0320230007__;!!Nmw4Hv0!3WB4F-6tmOGbOLPRhUkYZ-WFKNU4M33J2_WUvxmcPRrhpgtBblHGGJ3fuNm4hfSUm8zjvwBesiBCkWRMBKGM93LqEmPAUVL8FqE$">https://doi.org/10.1785/0320230007</a>).</p> <p>Included here are: the coordinates of the surface rupture used for modeling, and the preliminary three-dimensional coseismic surface displacements field (east-west, north-south, and vertical) derived via pixel-offset tracking of Sentinel-1 SAR images.</p> <p>The ascii-file “fault_trace_for_modeling.txt” includes longitude and latitude coordinates of the rupture trace.<br> The matlab-file ENU_Turkiye_S1.mat includes<br> enu: the east, north, and vertical displacement components<br> coor: the coordinate information for the enu matrix<br> fault: the coordinate of surface ruptures mapped from the SAR-pixel offset tracking result<br> mask: indicates the area for which the 3D displacements are plausible near the Golbasi basin due to the possible existence of water</p> <p>Original Sentinel-1 SAR images are available via the Copernicus hub at <a href="https://urldefense.com/v3/__https://scihub.copernicus.eu__;!!Nmw4Hv0!3WB4F-6tmOGbOLPRhUkYZ-WFKNU4M33J2_WUvxmcPRrhpgtBblHGGJ3fuNm4hfSUm8zjvwBesiBCkWRMBKGM93LqEmPA9j-Kbj8$">https://scihub.copernicus.eu</a>. The coseismic 3D surface displacements are preliminary results, and further improvements by incorporating ALOS-2 data and inspecting local regions are ongoing. The surface rupture traces used for modeling are mapped based on the SAR-pixel offset tracking result as well as the geomorphology alongside.</p> <p>Date submitted: June 3, 2023</p>
coSIF Data Product for February, April, July, and October 2021
<p>The monthly, 0.05-degree resolution coSIF predictions and corresponding root-mean-squared prediction errors (RMSPEs) for each of February, April, July, and October 2021 over North America. Each NetCDF file corresponds to one of the four months and contains two variables: "cosif_prediction" and "cosif_rmspe." For example, "coSIF_202102.nc4" corresponds to February 2021. All units are Watts per square meter, per steradian, and per micrometer (W \ m^2 \ sr \ <span class="math-tex">\(\mu\)</span>m).</p> <p>As described in Jacobson et. al. (2023), predictions and RMSPEs for July 2021 were produced using cokriging. For all other months, predictions and RMSPEs were produced using kriging.</p>
Hubbard Brook Experimental Forest: Hyperspectral Reflectance Imagery, February 2013
Airborne remote sensing data were acquired specifically for the EPSCoR NH Ecosystems and Society project to provide vegetation biometric and land surface optical properties at the landscape-scale. Data were acquired for targeted field sites that include the Lamprey River Watershed, the Hubbard Brook Experimental Forest and the Bartlett Experimental Forest, where soil and aquatic sensors are deployed and intensive field sample plots have been established to measure a range of vegetation and land surface properties. Two image data collection campaigns were deployed—one in summer (August 2012) to capture peak growing season conditions in the state, and one in winter (Feb/March 2013). This data package contains the flightlines for Hubbard Brook. Data are georegistered and atmospherically corrected to surface reflectance for February 22, 2013.
Data from: Estimating transmission dynamics and serial interval of the first wave of COVID-19 infections under different control measures: A statistical analysis in Tunisia from February 29 to May 5, 2020
<p>Background: Describing transmission dynamics of the outbreak and impact of intervention measures are critical to planning responses to future outbreaks and providing timely information to guide policy makers decision. We estimate serial interval (SI) and temporal reproduction number (R<sub>t</sub>) of SARS-CoV-2 in Tunisia.</p> <p>Methods: We collected data of investigations and contact tracing between March 1, 2020 and May 5, 2020 as well as illness onset data during the period February 29-May 5, 2020 from National Observatory of New and Emerging Diseases of Tunisia. Maximum likelihood (ML) approach is used to estimate dynamics of R<sub>t</sub>.</p> <p>Results: 491 of infector-infectee pairs were involved, with 14.46% reported pre-symptomatic transmission. SI follows Gamma distribution with mean 5.30 days [95% CI 4.66-5.95] and standard deviation 0.26 [95% CI 0.23-0.30]. Also, w<span>e estimated large changes in </span>R<sub>t</sub><span> in response to the combined lockdown interventions. The </span>R<sub>t</sub><span> moves from </span>3.18 [95% CI 2.73-3.69] <span>to 1.77 [95% CI 1.49-2.08] with </span>curfew<span> prevention measure, and under the epidemic threshold (0.89 </span>[95% CI 0.84-0.94]) by national lockdown measure<span>.</span></p> <p><span>Conclusions: </span>Overall, our findings highlight contribution of <span>interventions</span> to interrupt transmission of SARS-CoV-2 in Tunisia.</p>
TESS-FEBRUARY-2020
<p>Measurements taken by the European Photometer Network (Project STARS4ALL). February 2020</p>
Datasets from Water Research (2021) Volume 190, 15 February 2021, 116748
<p>The dataset contains the raw data of the figures and tables reported in the open access publication " Ceballos-Escalera, A., Pous, N., Chiluiza-Ramos, P., Korth, B., Harnisch, F., Bañeras, Ll., Balaguer, M.D. and Puig, S. 2021. Electro-bioremediation of nitrate and arsenite polluted groundwater. <em>Water Research</em> 190C 116748".</p>
Figure 1. from: Defining the Scholarly Commons - Reimagining Research Communication. Report of Force11 SCWG Workshop, Madrid, Spain, February 25-27, 2016 - Research Ideas and Outcomes 2: e9340 (26 May 2016) https://doi.org/10.3897/rio.2.e9340
Figure 1. - Demographic breakdown of workshop attendees
Figure 4. from: Defining the Scholarly Commons - Reimagining Research Communication. Report of Force11 SCWG Workshop, Madrid, Spain, February 25-27, 2016 - Research Ideas and Outcomes 2: e9340 (26 May 2016) https://doi.org/10.3897/rio.2.e9340
Figure 4. - Perspective Engine
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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.