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586 results for “March”
Figure 1b. from Bridging the distributional gap of Tylorida striata (Thorell, 1877) and new synonymy (Araneae: Tetragnathidae) - Biodiversity Data Journal 3: e4878 (26 March 2015) https://doi.org/10.3897/BDJ.3.e4878
Figure 1b. - Metastriata, female syntype.Figure 1a.Habitus (detached cephalothorax and abdomen placed together), dorsal view (Scale=5 mm)Figure 1b.Abdomen of same syntype, lateral view (Scale=3 mm)Figure 1c.Vulva, ventral view (Scale=0.3 mm)Figure 1d.Labels in syntype vial <br> Abdomen of same syntype, lateral view (Scale=3 mm)
Photometer Network - March - 2017
<p>Photometers dataset of March</p>
Large-Scale Traveling Ionospheric Disturbances over the European sector during the geomagnetic storm on March 23-24, 2023: energy deposition in the source regions and the propagation characteristics
<p>IMAGE 2D Ionospheric Equivalent Currents for 23 and 24 March 2023 (https://space.fmi.fi/image/). </p> <p><em>We thank the institutes who maintain the IMAGE Magnetometer Array (<a href="https://space.fmi.fi/image/">https://space.fmi.fi/image/</a>): Tromsø Geophysical Observatory of UiT the Arctic University of Norway (Norway), Finnish Meteorological Institute (Finland), Institute of Geophysics Polish Academy of Sciences (Poland), GFZ German Research Centre for Geosciences (Germany), Geological Survey of Sweden (Sweden), Swedish Institute of Space Physics (Sweden), Sodankylä Geophysical Observatory of the University of Oulu (Finland), DTU Technical University of Denmark (Denmark), and Science Institute of the University of Iceland (Iceland). The provisioning of data from AAL, GOT, HAS, NRA, VXJ, FKP, ROE, BFE, BOR, HOV, SCO, KUL, and NAQ is supported by the ESA contracts number 4000128139/19/D/CT as well as 4000138064/22/D/KS. The authors would like to thank Dr. Liisa Juusola for providing the IMAGE 2D Ionospheric Equivalent Currents data.</em></p>
Dunans Castle Turret, March 2020
Before being dismantled, Charles Dixon-Spain recorded the Turret at Dunans. This model, plus extensive internal photography, will help our contractor when it comes to the roof being rebuilt. At the point the photographs for this model were taken the roof was so weak that stripping off the very light green membrane compromised the sarking underneath - turned out the staples holding fabric to roof were stronger than the handcut clouts fixing board to joists. The technical terms for the roof, particularly the structural timbers, was 'cheese' - it even had ementhal-style holes in it courtesy of an army of woodworms. See DunansCastle.tv for more information on the works subsequent to this survey. Built c. 1871, repaired 1910 & 1958, before stripping in 2007 and dismantlement 2020. Source: Objaverse 1.0 / Sketchfab
Excavations at St Piran's Oratory 5th March 2014
Textured mesh of the excavation at St Piran's Oratory. Created from a set of photos taken for the purpose of recording the pile of concrete prior to removal. Extra photos taken on the day allowed for this photogrammetric model to be created. Source: Objaverse 1.0 / Sketchfab
Fort Ticonderoga - March 13th, 2020
UAS imagery collected 2020-03-18 using a senseFly eBee Plus RTK and processed in Pix4Dmapper. Source: Objaverse 1.0 / Sketchfab
Dead mammal walking: a month-long march by a bison (Bison bison) after an ungulate-vehicle collision
<p>Globally, ungulate-vehicle collisions (UVC) are a major human safety concern and may also represent a significant source of mortality for some ungulate populations. However, records of UVC based on counts of roadside carcasses or reports by drivers involved in these incidents are assuredly underestimated because not all ungulates struck die immediately or at the roadside or are reported by drivers or authorities. Here, we provide an observation and analysis of the movements of a GPS-collared bison (<em>Bison bison</em>) that was involved in a UVC on the Alaska Highway and died in thick boreal forest 29 days later. During that time she moved 49.7 km from where she was hit. Her daily movement rate (km/hr) and daily net displacement (km/day) were significantly greater in the 29-day period before she was struck compared to 29 days afterward. This vivid example illustrates that individuals injured in a UVC can die several weeks later and at a considerable distance from where they were initially struck. Moreover, when they eventually die it may be where their carcass would not be found or associated with a UVC. Bison are the largest land mammal in North America and perhaps more robust to some lower-impact UVC than smaller-bodied species. Even so, if not for the GPS collar on this bison, we would have never known the fate of this individual, and the carcass likely never found. Taken together, the movements and final resting place of this bison illuminate how estimates of mortality as a result of UVC can be underestimated when the animal does not die immediately and in a location where it can be found. Given our data, we further urge managers to consider roadside counts of animals killed in UVC as a minimum estimate when considering options for mitigation.</p>
Infographics PBL NDC Tool March 2024
<p>The dataset of the emissions projections of the NDCs and current policies for the <strong>PBL Climate Pledge NDC tool:</strong> <a href="https://themasites.pbl.nl/o/climate-ndc-policies-tool/">https://themasites.pbl.nl/o/climate-ndc-policies-tool/</a></p> <p>The PBL Climate Pledge NDC tool addresses the following three key questions:</p> <p>1. What are the countries’ emissions projections for the NDCs for 2030?</p> <p>2. Will the projected aggregated impact of the fully implemented NDCs on global emissions, for 2030, be sufficient to achieve the target of staying well below 2 °C / 1.5 <sup>o</sup>C?</p> <p>3. Are countries on track to meet their original NDCs for the period up to 2030?</p> <p>To address these questions, the tool shows the projected impact of the emission reduction proposals (NDCs) and current policies, per country and globally, on greenhouse gas emissions up to 2030. This tool analyses the mitigation components of the NDCs of 144 of the 197 Parties (together representing about 95% of emissions in 2019). More specifically, the tool shows the effect of:</p> <ul> <li><strong>Pledges</strong>: national and global greenhouse gas emission projections for 2020, assuming that pledges will be fully achieved;</li> <li><strong>Nationally Determined Contributions (NDCs)</strong>: national and global greenhouse gas emission projections for 2030, assuming that NDCs will be fully achieved;</li> <li><strong>Current policies</strong>: the impact of national climate and energy policies on emission levels up to 2030 (at least, unless the policy specifies a later end date), for 25 major emitting countries and regions.</li> </ul> <p><strong>Recommended citation:</strong></p> <p>den Elzen, M.G.J., Dafnomilis, Hooijschuur, E., Nascimento, L., Kuramochi, T., Forsell, N., Gutiérrez, Z.A., Gusti (2024), Infographics PBL NDC Tool 2024. Zenodo. <a href="10.5281/zenodo.10875617">10.5281/zenodo.10875617</a></p>
ETER - Full dataset (csv; March 26th, 2024)
<p>This dump includes</p> <ul> <li>the whole ETER dataset as of 26th of March 2024 (including data for the academic year 2021/2022),</li> <li>all corresponding metadata, and</li> <li>a file including all labels for variable names, and labels for special and variable codes.</li> </ul>
LPL8 - March 2024
<p>Measurements of LPL8 (Timanfaya NP) in March 2024</p> <p>Lanzarote</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL8">info</a></p>
LPL5 - March 2024
<p>Measurements of LPL5 (Tejeda) in March 2024</p> <p>Gran Canaria</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL5">info</a></p>
LPL3 - March 2024
<p>Measurements of LPL3 (Madeira East Coast) in March 2024</p> <p>Madeira</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL3">info</a></p>
LPL4 - March 2024
<p>Measurements of LPL4 (Ilha do Corvo) in March 2024</p> <p>Corvo</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL4">info</a></p>
LPL1 - March 2024
<p>Measurements of LPL1 (Teide NP) in March 2024</p> <p>Tenerife</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL1">info</a></p>
SG - March 2024
<p>Measurements of SG (Global) in March 2024</p> <p></p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/SG">info</a></p>
Dynamics of Centipede Locomotion Revealed by Large-Scale Traction Force Microscopy (J. Roy Soc INTERFACE, to be published, march 2024)
<p>data and matlab code from paper "Dynamics of Centipede Locomotion Revealed by Large-Scale Traction Force Microscopy" (paper submitted to J. Roy Soc INTERFACE, to be published, march 2024)</p> <p><strong><span>Dynamics of Centipede Locomotion Revealed by Large-Scale Traction Force Microscopy</span></strong></p> <p><span> </span><span>J.P. Rieu</span><sup><span>1, *</span></sup><span>, H. Delanoë-Ayari</span><sup><span>1</span></sup><span>, C. Barentin</span><sup><span>1</span></sup><span>, T. Nakagaki</span><sup><span>2</span></sup><span> and S. Kuroda</span><sup><span>3</span></sup><sup><span> ,*</span></sup></p> <p><sup><span>1</span></sup><span> </span><span>Institut Lumière Matière, University of Lyon, Université Claude Bernard Lyon 1, CNRS, F-69622, Villeurbanne, France</span></p> <p><sup><span>2</span></sup><span> Research Institute for Electronic Science, Hokkaido University, N20W10 Kita-ku, Sapporo Hokkaido 001-0020, Japan</span></p> <p><sup><span>3 </span></sup><span>Faculty of Software and Information Technology, Aomori University, Koubata 2-3-1, Aomori, 030-0943, Japan</span></p> <p><span>* Authors for correspondence:<span> </span>Jean-Paul Rieu (e-mail: jean-paul.rieu@univ-lyon1.fr) and Shigeru Kuroda (shigeru-kuroda@aomori-u.ac.jp)</span></p> <p> </p> <p><strong><span>Abstract</span></strong></p> <p><span>We present a novel approach to traction force microscopy (TFM) for studying the locomotion of 10cm-long walking centipedes on soft substrates.</span><span> Leveraging the </span><span>remarkable</span><span> elasticity and ductility of kudzu starch gels, we utilize them as a deformable gel substrate, providing resilience against the centipedes' sharp leg tips. </span><span>Through optimizing fiducial marker size and density and fine-tuning imaging conditions, we enhance measurement accuracy. Our TFM investigation reveals traction forces along the centipede's longitudinal axis that effectively counterbalance inertial forces within the 0-10mN range, providing the first report of non-vanishing inertia forces in TFM studies. Interestingly, we observe waves of forces propagating from the head to the tail of the centipede, corresponding to its locomotion speed. Furthermore, we discover a characteristic cycle of leg clusters engaging with the substrate: forward force (friction) upon leg tip contact, backward force (traction) as the leg pulls the substrate while stationary, and subsequent forward force as the leg tip detaches to reposition itself in the anterior direction. </span><span>This work </span><span>opens perspectives for TFM applications in ethology, tribology, and robotics</span><span>.</span></p>
Ka, W and G-band radar observations of clouds and light precipitation during the EPCAPE campaign in March and April 2023
<p>The files contained in the data sets include Ka, W and G-band radar observations of clouds and light precipitation for several days from March 23 to April 27, 2023, during the EPCAPE campaign in La Jolla, CA, USA. <br>The YYYYMMDD_HHMMSS file naming convention corresponds to the starting measurement time of the data set in UTC.<br>The CloudCube_EPCAPE_Gband_Spectra.zip folder contains G-band radar Doppler spectra in the form of calibrated reflectivity as a function of Doppler velocity and range, where the noise has been masked out. The CloudCube_EPCAPE_Gband_Spectra_Noise.zip folder contains G-band radar Doppler spectra, including noise and SNR. The CloudCube_EPCAPE_Gband_Moments.zip folder contains G-band radar Doppler spectra moments, i.e. calibrated reflectivity, mean Doppler velocity and Doppler spectrum width. The CloudCube_EPCAPE_Multifrequency.zip folder includes Ka, W and G-band calibrated reflectivity and dual-frequency reflectivity ratios. <br>These data were obtained from CloudCube, a Ka, W and G-band atmospheric profiling radar, to demonstrate synergies between multifrequency retrievals.<br>For more details about the data processing and description, please refer to: Socuellamos, J. M., Rodriguez Monje, R., Lebsock, M. D., Cooper, K. B., Beauchamp, R. M., and Umeyama, A.: Multifrequency radar observations of marine clouds during the EPCAPE campaign, Earth Syst. Sci. Data. https://doi.org/10.5194/essd-2023-454, 2024. </p>
Database of liquefaction phenomena triggered by the March 2021 Thessaly, Greece, seismic sequence
<p>This archive contains data related to the paper “Floodplain evolution and its influence on liquefaction clustering: the case study of March 2021 Thessaly, Greece, seismic sequence” by George Papathanassiou, Sotiris Valkaniotis, Athanassios Ganas, Alexandros Stampolidis, Dimitra Rapti, Riccardo Caputo.</p> <p><br> Submitted to <em>Engineering Geology, Elsevier</em></p> <p> </p> <p><strong>Liquefaction_DB_20210303</strong> contains shapefiles and spreadsheet for the mapped liquefaction phenomena<br> <strong>UAS_Liquefaction_Surveys_Larisa_EQ</strong> contains detailed geospatial data for mapped liquefaction phenomena from UAS surveys</p>
LPL1 - March 2021
<p>Measurements of LPL1 (Güímar) in March 2021</p> <p>Tenerife</p> <p>Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL1">info</a></p>
Data complementing the Avian influenza overview December 2021 – March 2022
<p>The Annexes contain data and information on highly pathogenic avian influenza outbreaks in poultry and detections in wild birds in Europe</p> <p>Annex A – Characteristics of the HPAI A(H5Nx)-positive poultry establishments</p> <p>Annex B – Applied prevention and control measures on avian influenza</p> <p>Annex C – Data on wild birds</p>
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.