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1,630 results for “Stepping”
buteogallus_lacernulatus assembly and decontamination steps
<p>Note: the specimen was originally misidentified as chelictinia_riocourii and the genome submitted to Genbank as chelictinia_riocourii.</p> <p>The error was found afterwards and corrected. The genome was re-submitted as a new record.</p> <p>The chelictinia_riocourii genome will be submitted as version 2 when a specimen can be obtained.</p> <p> </p>
Movie of the molecular dynamics simulation of a crucial step in the activation of the STING protein
<p>STING (stimulator of interferon genes) is a homodimer protein involved in regulation of the innate immune system and plays a role in antitumor immunity by inducing the production of cytokines. Activation of STING stems from binding of endogenous cyclic dinucleotides (CDNs), which induce a conformational change to initiate signaling. The MP4 movie shows a molecular dynamics simulation of a crucial step of the activation process.</p>
Datasets for "Trapdoor fault activation: a step towards caldera collapse at Sierra Negra, Galápagos, Ecuador", Journal of Geophysical Research: Solid Earth
<p>The following files were used in the analysis from "Trapdoor fault activation: a step towards caldera collapse at Sierra Negra, Galápagos, Ecuador", <em>Journal of Geophysical Research: Solid Earth</em>:</p> <p><strong>alos2_csk/alos2_sm1_dsc_20180504_20180713/:</strong> Includes DEM used in processing of the ALOS-2 SM1 descending interferogram spanning 4 May 2018–13 July 2018 (dem.2alks_2rlks.crop.*); geocoded SAR offsets in pixels (range resolution=1.43 m/pixel; azimuth resolution=2.01 m/pixel; denseOffsets.bil.2alks_2rlks.geo*); geocoded SNR of SAR offsets (denseOffsets_snr.bil.2alks_2rlks.geo.*); geocoded, unwrapped interferometric phase (filt_topophase.unw.2alks_2rlks.geo.*); geocoded incidence and heading angle for the interferogram (los.rdr.2alks_2rlks.geo.*); all in ISCE format.</p> <p><strong>alos2_csk/alos2_sm3_asc_20180114_20180701/:</strong> Includes DEM used in processing of the ALOS-2 SM3 ascending interferogram spanning 14 January 2018–1 July 2018 (dem.crop.*); geocoded, unwrapped interferometric phase (filt_topophase.unw.geo.*); geocoded incidence and heading angle for the interferogram (los.rdr.geo.*); all in ISCE format.</p> <p><strong>alos2_csk/alos2_wd1_dsc_147_180518_180629/</strong>: Includes DEM used in processing of the ALOS-2 WD1 descending interferogram spanning 18 May 2018–29 June 2018 (crop.dem.*); geocoded, unwrapped interferometric phase (filt_180629-180518_2rlks_14alks.unw.geo.*) ; geocoded incidence and heading angle for the interferogram (180629-180518_2rlks_14alks.los.geo.*); geocoded coherence for the interferogram (180629-180518_2rlks_14alks.cor.geo.*); geocoded mask for the interferogram (filt_topophase.unw.masked.geo.*); all in ISCE format.</p> <p><strong>alos2_csk/csk_asc_20180617_20180703/:</strong> Includes DEM used in processing of the COSMO-SkyMed ascending interferogram spanning 17 June 2018–3 July 2018 (dem.crop.*); geocoded SAR offsets in pixels (range resolution=1.54 m/pixel; azimuth resolution=2.48 m/pixel; denseOffsets.bil.geo.*); geocoded SNR of SAR offsets (denseOffsets_snr.bil.geo); geocoded incidence and heading angle for the interferogram (los.rdr.geo.*); all in ISCE format.</p> <p><strong>alos2_csk/csk_asc_20180703_20180719/</strong>: Includes DEM used in processing of the COSMO-SkyMed ascending interferogram spanning 3 July 2018–19 July 2018 (dem.crop.*); geocoded SAR offsets in pixels (range resolution=1.54 m/pixel; azimuth resolution=2.48 m/pixel; denseOffsets.bil.geo.*); geocoded SNR of SAR offsets (denseOffsets_snr.bil.geo); geocoded incidence and heading angle for the interferogram (los.rdr.geo.*); all in ISCE format.</p> <p><strong>alos2_csk/csk_dsc_20180618_20180704/:</strong> Includes DEM used in processing of the COSMO-SkyMed descending interferogram spanning 18 June 2018–4 July 2018 (dem.crop.*); geocoded SAR offsets in pixels (range resolution=1.70 m/pixel; azimuth resolution=2.45 m/pixel; denseOffsets.bil.geo.*); geocoded SNR of SAR offsets (denseOffsets_snr.bil.geo); geocoded incidence and heading angle for the interferogram (los.rdr.geo.*); all in ISCE format.</p> <p><strong>alos2_csk/csk_dsc_20180704_20180720/: </strong>Includes DEM used in processing of the COSMO-SkyMed descending interferogram spanning 4 July 2018–20 July 2018 (dem.crop.*); geocoded SAR offsets in pixels (range resolution=1.70 m/pixel; azimuth resolution=2.45 m/pixel; denseOffsets.bil.geo.*); geocoded SNR of SAR offsets (denseOffsets_snr.bil.geo); geocoded incidence and heading angle for the interferogram (los.rdr.geo.*); all in ISCE format.</p> <p><strong>S1.zip</strong>: Unwrapped, geocoded interferometric phase in meters for Sentinel-1 ascending and descending interferograms, spanning time periods of interest. </p> <p><strong>S1_20180630_20180706_asc_mask_nan_ref.grd: </strong>Unwrapped, geocoded, and masked interferometric phase for Sentinel-1 ascending interferogram spanning 30 June 2018–6 July 2018.</p> <p><strong>S1_20180701_20180707_desc_mask_nan_ref.grd: </strong>Unwrapped, geocoded, and masked interferometric phase for Sentinel-1 descending interferogram spanning 1 July 2018–7 July 2018.</p> <p><strong>tandemx12m_crop.grd</strong>: TanDEM-X 12 meter DEM in meters.</p> <p><strong>pleaides_tandemx12m_diff.grd</strong>: Difference between the TanDEM-X 12 meter DEM and the Pléiades-derived DEM, computed from images on 29 October 2018 and 6 December 2019.</p> <p><strong>trapdoorFaultSlip.zip</strong>: Discretized trapdoor fault patch dip-slip modeled to fit deformation from Sentinel-1 ascending interferograms, estimated using the Classic Slip Inversion software.</p> <p><strong>trapdoorFaultTraces.zip</strong>: Caldera and trapdoor fault traces, derived from <em>Bell et al. 2021</em>.</p> <p><strong>SN14_tilt_10s_2018-19.txt</strong>: Text filt containing date-time (sampled at 10 s, in matplotlib date-time number format), N-S tilt and E-W tilt. Tilt values can be converted to microradians by multiplying by a factor of 0.00129. Tilt data obtained from authors of <em>Bell et al. 2021</em>. For use of this dataset, please cite <a href="https://doi.org/10.1038/s41467-021-21596-4">https://doi.org/10.1038/s41467-021-21596-4</a>.</p>
Embodiment of virtual feet correlates with motor performance in a target-stepping task: A pilot study
<p>Dataset for the human factors pilot experiment of "Embodiment of virtual feet correlates with motor performance in a target-stepping task: A pilot study"</p>
Characterizing each step of pollination in the wildflower, Phlox drummondii, reveals a single butterfly species predominates in the pollinator assemblage
<p>Premise: A central goal of pollination biology is to connect plants with the identity of their pollinator(s). While predictions based on floral syndrome traits are extremely useful, direct observation can reveal further details of a species' pollination biology. The wildflower, <em>Phlox drummondii</em>, has a floral syndrome consistent with pollination by a variety of lepidoptera. We describe pollination in <em>P. drummondii</em> and use empirical data to test this prediction.</p> <p>Methods: We directly observe each step of the pollination process in <em>P. drummondii</em>. First, we observe 55.5 hours of floral visitation throughout the day/evening (7:00-20:30) at sites across the species range. We use a temporal pollinator exclusion experiment to determine the contribution of diurnal and nocturnal pollination to reproductive output. We then quantify <em>P. drummondii</em> pollen pickup and deposition by the dominant floral visitor, <em>Battus philenor</em>. Finally, we test the effect of <em>B. philenor</em> visitation on <em>P. drummondii</em> reproductive output by quantifying fruit set following visitation to greenhouse-grown flowers.</p> <p>Results: <em>B. philenor</em> is the primary pollinator of <em>P. drummondii</em>. Pollination is largely diurnal, and we observe a variety of lepidopteran visitors during this period. However, <em>B. philenor</em> is by far the most frequent visitor, representing 88.5% of all observed floral visits. We show that <em>B. philenor</em> is not only an extremely common visitor but also an effective pollinator by demonstrating that individuals transfer pollen between flowers and that a single visit can elicit fruit set.</p> <p>Conclusion: Our data are consistent with the syndrome prediction of lepidopteran pollination and further reveal a single butterfly species, <em>B. philenor</em>, as the primary pollinator. Collectively, our study demonstrates the importance of empirical pollinator observations, adds to our understanding of pollination mechanics, and offers a specific case study of butterfly pollination.</p>
Figures 13–17. Psecas pulchra Badcock, 1932 in One step forward and two steps back: on three jumping spiders described by H. D. Badcock deposited in the Natural History Museum, London, and two species newly recorded for Argentina (Araneae: Salticidae)
Figures 13–17. Psecas pulchra Badcock, 1932 (= junior synonym of Psecas chapoda (G. W. Peckham & E. G. Peckham, 1894) syn. nov.) holotype male (BMNH 1932.9.2.68). 13, Habitus,
Photovoice: definition, theoretical framework and steps
<p>In this video Aloe Cubero (URV), PhD Fellow at the Pedagogy Department, introduces photovoice methodology together with a guide for its implementation in classroom settings. Presentation elaborated by Aloe Cubero (URV) and Rocío Garrido (US) in the framework of the Project Mainstreaming Sexual and Gender-Related Violence sensibilities into university courses through Photovoice experiences (2020 INDOV00003).</p> <p>Project link: http://www.innovaciondocentegenero.eu/photovoice/</p>
Tailoring Ti Grade 2 and TNTZ alloy surfaces in a two-step mechanical-chemical modification
<p>This record contains all files generated in the preparation process of the following publication:</p> <p>Agnieszka Kowalczyk, Donata Kuczyńska-Zemła, Agata Sotniczuk, Klaudia Anuszewska and Halina Garbacz,<br> "Tailoring Ti Grade 2 and TNTZ alloy surfaces in a two-step mechanical-chemical modification", submitted to Surface Engineering.</p> <p><br> Designations:<br> Ti alloy - Ti-29Nb-13Ta-4,6Zr alloy (TNTZ)<br> G - sample grinded on #600 grit abrasive paper<br> S_1,2 - sample shot peened with 90-150 µm shots, under pressure of 0.2 MPa<br> S_1,3 - sample shot peened with 90-150 µm shots, under pressure of 0.3 MPa<br> S_1,4 - sample shot peened with 90-150 µm shots, under pressure of 0.4 MPa<br> S_1,5 - sample shot peened with 90-150 µm shots, under pressure of 0.5 MPa<br> S_2,4 - sample shot peened with 150-250 µm shots, under pressure of 0.4 MPa<br> S_2,5 - sample shot peened with 150-250 µm shots, under pressure of 0.5 MPa<br> SE_1,2 - sample shot peened with 90-150 µm shots, under pressure of 0.2 MPa and etched in a solution of 3% hydrofluoric acid (HF)<br> SE_1,3 - sample shot peened with 90-150 µm shots, under pressure of 0.3 MPa and etched in a solution of 3% hydrofluoric acid (HF)<br> SE_1,4 - sample shot peened with 90-150 µm shots, under pressure of 0.4 MPa and etched in a solution of 3% hydrofluoric acid (HF)<br> SE_1,5 - sample shot peened with 90-150 µm shots, under pressure of 0.5 MPa and etched in a solution of 3% hydrofluoric acid (HF)<br> SE_2,4 - sample shot peened with 150-250 µm shots, under pressure of 0.4 MPa and etched in a solution of 3% hydrofluoric acid (HF)<br> SE_2,5 - sample shot peened with 150-250 µm shots, under pressure of 0.5 MPa and etched in a solution of 3% hydrofluoric acid (HF)<br> HV - Vickers hardness<br> SEM - Scanning Electron Microscopy<br> R - roughness<br> W - wettability</p> <p><br> Folders content:<br> Hardness - contains files with data obtained from hardness tests using a Falcon 500 hardness tester with a Vickers indenter at a load of 1.96 N (HV0.2)<br> Roughness - contains files from topography analysis obtained using a Wyko NT9300 optical profilometer for various scan areas<br> SEM - contains images of samples surfaces from Hitachi SU8000 and Hitachi SU70 Scanning Electron Microscopes <br> Wettability - contains files with data obtained from wettability tests using a DataPhysics OCA 25 goniometer with the sessile drop method</p> <p>This research was funded in part by National Science Centre, Poland [Grant no. 2022/45/B/ST5/03398].</p> <p> </p>
DISCO step 1 - teacher education
<p>Data was collected among pre-service teachers in the fall of 2017 in a sample of 7 teacher education institutions within a Flemish province. Respondents filled out an online survey on their professional beliefs and self-efficacy with regards to diversity in the classroom.</p>
validation DISCO step 2 - in-service teachers
<p>data was collected with in-service teachers in the spring of 2018. All schools within one Flemish city were invited to participate. Of the 40 contacted schools, 28 participated in the study, translating to a participation rate of 70%. All teachers within each school were invited to fill out the online survey (N = 600). respondents filled out an online survey on their professional beliefs and self-efficacy with regards to diversity in the classroom</p>
A key evolutionary step determining osmoregulatory ability for freshwater colonisation in early life stages of fish
<div class="page"> <div class="layoutArea"> <div class="column"> <p>Colonisation of freshwater habitats by marine animals is a remarkable evolutionary event that has enriched biodiversity in freshwater ecosystems. The acquisition of tolerance to hypotonic stress during early life stages is presumed to be essential for their successful freshwater colonisation, but very little empirical evidence has been obtained to support this idea. This study aimed to comprehend the evolutionary changes in osmoregulatory mechanisms that enhance larval freshwater tolerance in amphidromous fishes, which typically spend their larval period in marine (ancestral) habitats and the rest of their life history stages in freshwater (derived) habitats. We compared the life history patterns and changes in larval survivorship and gene expression depending on salinity among three congeneric marine-originated amphidromous goby species (<em>Gymnogobius</em>), which had been suggested to differ in their larval dependence on freshwater habitats. An otolith microchemical analysis and laboratory-rearing experiment confirmed the presence of freshwater residents only in <em>G. urotaenia</em> and higher larval survivorship of this species in the freshwater condition than in the obligate amphidromous <em>G. petschiliensis</em> and <em>G. opperiens</em>. Larval whole-body transcriptome analysis revealed that <em>G. urotaenia</em> from both amphidromous and freshwater-resident populations exhibited the greatest differences in expression levels of several osmoregulatory genes, including <em>aqp3</em>, which is critical for water discharge from their body during early fish development. The present results consistently support the importance of enhanced freshwater tolerance and osmoregulatory plasticity in larval fish to establish freshwater forms, and further identify key candidate genes for larval freshwater adaptation and colonisation in the goby group.</p> </div> </div> </div>
Colorfull Medieval Steps - Fougères Castle
112 shots - Panasonic GF7 processed with agisoft photoscan Here are some nice stairs in the Fougères Castle collection - France. Awesome place to shot, neet atmosphere - Hope you will like it. Source: Objaverse 1.0 / Sketchfab
Evaluation of Stepped Care for Chronic Pain in Iraq/Afghanistan Veterans (ESCAPE)
ClinicalTrials.gov study NCT00386243. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Stepped Care to Optimize Pain Care Effectiveness
ClinicalTrials.gov study NCT00926588. IPD Sharing: Not stated. Countries: 1. Publications: 8.
Intensive Intervention for Toddlers With Autism (EARLY STEPS)
ClinicalTrials.gov study NCT00698997. IPD Sharing: YES. Countries: 1. Publications: 2.
Evaluation of Effectiveness and Tolerability of Tapentadol Hydrochloride in Subjects With Severe Pain Due to Osteoarthritis Taking Either WHO Step I or Step II Analgesics or no Regular Analgesic
ClinicalTrials.gov study NCT00983073. IPD Sharing: Not stated. Countries: 5. Publications: 1.
OPTIMA: Efficacy of Optimized Re-treatment and Step-up Therapy With Omalizumab in Chronic Spontaneous Urticaria (CSU) Patients
ClinicalTrials.gov study NCT02161562. IPD Sharing: Not stated. Countries: 8. Publications: 1.
Usability and Acceptability Study of the P-STEP Mobile Application
ClinicalTrials.gov study NCT05830318. IPD Sharing: NO. Countries: 1. Publications: 2.
A Stepped Care Intervention to Reduce Disparities in Mental Health Services Among Cancer Patients and Caregivers
ClinicalTrials.gov study NCT03016403. IPD Sharing: NO. Countries: 1. Publications: 1.
Randomized Trial of Stepped Care for Suicide Prevention in Teens and Young Adults
ClinicalTrials.gov study NCT03092271. IPD Sharing: NO. 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.