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486 results for “RIP”

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zenodo40/100

Text-fig. 1. Extant Sciadopitys verticillata pollen. a–c: LM images (scale bars 10 µm), a – polar view, b – equatorial view, c – equatorial view with well visible thinning of proximal leptoma; d–e: SEM overview images (scale bar 10 µm), d – distal polar view, e – oblique equatorial view; f – equatorial view with leptoma at top; g–i: SEM detailed images (scale bars 2 µm), g – detail of verrucate, echinate, perforate sexine of distal pol, h – wall break displaying thin nexine and verrucate, echinate sexine, i – ripped open leptoma displaying transition from verrucate sculpturing to nearly psilate state. in The Occurrence Of Pollen Of Sciadopityaceae Luerss. Through Time

Text-fig. 1. Extant Sciadopitys verticillata pollen. a–c: LM images (scale bars 10 µm), a – polar view, b – equatorial view, c – equatorial view with well visible thinning of proximal leptoma; d–e: SEM overview images (scale bar 10 µm), d – distal polar view, e – oblique equatorial view; f – equatorial view with leptoma at top; g–i: SEM detailed images (scale bars 2 µm), g – detail of verrucate, echinate, perforate sexine of distal pol, h – wall break displaying thin nexine and verrucate, echinate sexine, i – ripped open leptoma displaying transition from verrucate sculpturing to nearly psilate state.

opencc-by-4.0Dec 2021View details →
zenodo40/100

Sample data for "Classification Modeling for Hazardous Rip Current Prediction" Notebook

<p>This sample dataset is used in the notebook "Classification Modeling for Hazardous Rip Current Prediction" to demonstrate the application of using machine learning to identify hazardous rip current.&nbsp; The notebook is available in the NOAA Center for Artificial Intelligence GitHub Learning Journey repository (https://github.com/noaa-ncai/learning-journey). The full dataset is available via NOAA.</p>

opencc-by-4.0Aug 2024View details →
zenodo40/100

Rosa glaberrima Rip. ex Boullu (BR0000011050322)

Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.

opencc-by-sa-4.0May 2019View details →
zenodo36/100

High Tide or Rip-Tide? GJ 486b JWST Transits with NIRSpec G395H - Supplementary Material

<p>Supplementary&nbsp;material for '<em>High Tide or Riptide on the Cosmic Shoreline? A Water-rich Atmosphere or Stellar Contamination for the Warm Super-Earth GJ 486b from JWST Observations</em>'&nbsp;by&nbsp;Moran &amp; Stevenson et al., ApJL&nbsp;(2023).</p> <p>This repository contains four categories of data products:</p> <ol> <li><strong>White light curves</strong> &mdash; White light curves produced for Visit 1 and 2, for detectors NRS1 and NRS2 via the <a href="https://ui.adsabs.harvard.edu/abs/2023Natur.614..659R/abstract">FIREFLy pipeline</a> and the <a href="https://github.com/kevin218/Eureka">open-source codes Eureka</a>! and <a href="https://github.com/JamesKirk11/Tiberius">Tiberius</a></li> <li><strong>Transmission spectra</strong> &mdash; Reduced transmission spectra from three data reduction codes (Eureka!, FIREFLy, and Tiberius) for both G395H visits.</li> <li><strong>Stellar spectra and models </strong>&mdash; Flux calibrated observed stellar spectra of GJ 486 from each G395H visit, along with best-fit PHOENIX stellar models.</li> <li><strong>Atmospheric models</strong> &mdash; Atmospheric forward models used to interpret the data, produced from the open source <a href="https://natashabatalha.github.io/picaso/">PICASO</a> and <a href="https://github.com/mrline/CHIMERA">CHIMERA</a> codes.</li> </ol> <p>For any additional data requests or questions, please contact: sarahemoran@arizona.edu or kevin.stevenson@jhuapl.edu</p> <p>&nbsp;</p>

opencc-by-4.0Dec 2023View details →
zenodo36/100

YOLO-Rip_dataset

<p>This dataset consists of two folders: <em>with_rips</em> and <em>without_rips</em>, where <em>with_rips</em> contains 2486 images&nbsp;and annotation information, and <em>without_rips</em> contains 1307 images. We used labelImg to label these images&nbsp;and converted the label files into YOLO format labels,&nbsp;and&nbsp;we saved them in the <em>data_labels</em> folder.&nbsp;Suppose you have any questions about the use of this dataset, please contact the responding author.</p>

opencc-by-4.0Jun 2022View details →
zenodo36/100

X-Ray Diffraction Data Cubic Insulin and Thaumatin SSX for RIP phasing

<p>Diffraction images collected on dectris Pilatus. Format of images in *.cbf.</p> <p>Images collected with Mesh and Collect strategy at ESRF.</p> <p>Thaumatin : contain 6 sets of exposure reflecting 6 increasing Dose (from 1 to 6)</p> <p>Cubic Insulin : contain 3 sets of sub-data sets : Before_1 and Before_2 (means before UV irradiation). and After : (after UV irradiation).</p> <p>For full information refer to material and method in : (<em>submit, will be update</em>)</p>

opencc-by-4.0Oct 2017View details →
zenodo32/100

Supplementary material 1 from: Dickey JWE, Cuthbert RN, South J, Britton JR, Caffrey J, Chang X, Crane K, Coughlan NE, Fadaei E, Farnsworth KD, Ismar-Rebitz SMH, Joyce PWS, Julius M, Laverty C, Lucy FE, MacIsaac HJ, McCard M, McGlade CLO, Reid N, Ricciardi A, Wasserman RJ, Weyl OLF, Dick JTA (2020) On the RIP: using Relative Impact Potential to assess the ecological impacts of invasive alien species. NeoBiota 55: 27-60. https://doi.org/10.3897/neobiota.55.49547

Table S1. Outline of different numerical response proxies available, guidance for their use and the advantages and disadvantages of each

opencc-zeroApr 2020View details →
zenodo32/100

Fig. 5. - The most highly conserved RIP amino acids. Our dataset comprised a in Phylogeny and domain architecture of plant ribosome inactivating proteins

Fig. 5. - The most highly conserved RIP amino acids. Our dataset comprised a curated selection from all the proteins available within NCBI's Conserved Domain Database containing a RIP domain. Colours indicate amino acids conserved in at least 70% of sequences. For the two pink-highlighted proteins, the black bolded amino acids were present in 70% of sequences at that position but were not present in the amino acid sequence of the crystal structure. (A) Sequence alignment. RIP domain consensus: the consensus sequence generated from the multiple sequence alignment in Jalview excluding gaps; 1QCI: the amino acid sequence of pokeweed antiviral protein (protein databank: 1QCI). The third line denotes the similarity in the two sequences as determined by Clustal Omega. (B) The crystal structure of 1QCI visualized in UCSF ChimeraX in surface representation; (C) mesh representation; and (D) cartoon representation. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)

opennotspecifiedOct 2022View details →
ClinicalTrials.gov32/100

Effect of Remote Ischemic Preconditioning on Cerebral Circulation Time in Patients With Severe Carotid Artery Stenosis (RIP-CCT)

ClinicalTrials.gov study NCT05451030. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
dryad32/100

Data from: CO-RIP: a riparian vegetation and corridor extent dataset for Colorado River Basin streams and rivers

Open the record for dataset details and reuse information.

publicOct 2018View details →
zenodo28/100

SPARC Reanalysis Intercomparison Project (S-RIP) reanalysis common grid files

<p>This is the reanalysis common grid data set produced as part of the SPARC (Stratosphere-troposphere Processes and their Role in Climate) Reanalysis Intercomparison Project (<a href="https://s-rip.ees.hokudai.ac.jp/">S-RIP</a>). These data have been used in several chapters in the S-RIP report, including Chapter 4 (Overview of Ozone and Water Vapou<strong>r</strong> - See <a href="http://doi.org/10.5194/acp-17-12743-2017">Davis et al., ACP, 2017</a>) and Chapter 8 (Tropical Tropopause Layer - See <a href="https://www.atmos-chem-phys.net/20/753/2020/">Tegtmeier et al., ACP, 2020</a>).</p> <p>Notes about this data set:</p> <p>&nbsp;&nbsp; &nbsp;- Data set size: ~26 GB<br> &nbsp;&nbsp; &nbsp;- Reanalyses included are CFSR, ERA-I, JRA-25, JRA-55, MERRA, MERRA-2<br> &nbsp;&nbsp; &nbsp;- Variables include T (variable name ta), u (ua), v (va), O3 (tro3), WV (hus), and GPH (zg)<br> &nbsp;&nbsp; &nbsp;- Data are based off of the ana4mips data set<br> &nbsp;&nbsp; &nbsp;- Data are on a 2.5&deg; x 2.5&deg; grid<br> &nbsp;&nbsp; &nbsp;- All values are monthly means<br> &nbsp;&nbsp; &nbsp;- Pressure levels are (1000, 925, 850, 700, 600, 500, 400, 300, 250, 200, 150, 100, 70, 50, 30, 20, 10, 7, 5, 3, 2, 1, .7, .5, .3, .1 hPa)<br> &nbsp;&nbsp; &nbsp;- 3 time periods are provided:<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- The &ldquo;full&rdquo; time period (different for each reanalysis)<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- The &ldquo;S-RIP base period&rdquo; (i.e., 197901-201312)<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;- The &ldquo;climatology&rdquo; period (198101-201012)<br> &nbsp;&nbsp; &nbsp;- Both 3D (lon,lat,level) and zonal mean 2D (lat, level) files are provided<br> &nbsp;&nbsp; &nbsp;- Both timeseries and climatology data are provided. Files with &ldquo;ltm&rdquo; in the name are climatologies<br> &nbsp;&nbsp; &nbsp;- Reanalysis &ldquo;Ensemble&rdquo; files are located in the /ensemble directory (See note below*)</p> <p><br> *Regarding the &ldquo;ensemble&rdquo; data &mdash; I highly recommend using the &ldquo;ensemble&rdquo; files in the &ldquo;ensemble&rdquo; folder for climatological intercomparisons.<br> You can use a single file (e.g., hus_Amon_reanalysis_ENS_198101-201012.cg.ltm.nc for water vapor) that contains the climatologies for each reanalysis.<br> The data in these files are of dimension (lon, lat, level,time(==12 months ), &ldquo;record&rdquo;), where record 0 = CFSR, 1=ERA-I, 2=JRA-25, 3=JRA-55, 4=MERRA, 5=MERRA2.</p> <p>There is also a corresponding &ldquo;ensemble mean&rdquo; file (e.g., hus_Amon_reanalysis_ENS_198101-201012.cg.ltm.ensmean.nc) that is simply the ensemble mean climatology from the 4 core reanalyses (CFSR, ERA-I, JRA-55, MERRA &mdash; EXCLUDING JRA-25 &amp; MERRA2).</p>

opencc-by-4.0Apr 2020View details →
geo24/100

Dynamics of m6A RNA methylome during leukemogenesis reveals a role of PRMT6-MFSD2A signaling axis in maintaining AML stem cells.[RIP-seq]

GEO Series GSE218610. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJun 2023View details →
geo24/100

m7G methylation by METTL1 regulates let-7 microRNAs [BoRed-Seq & m7G-RIP-Seq A549]

GEO Series GSE112181. Homo sapiens. 14 samples. Type: Non-coding RNA profiling by high throughput sequencing; Other.

openGEO-OpenApr 2019View details →
geo24/100

RIP-seq for hnRNPK in Min6 cells

GEO Series GSE121296. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenDec 2019View details →
geo24/100

RNA and PTBP1-RIP sequencing in BEAS-2B cells with circFCHO2 overexpression and knockdown

GEO Series GSE286017. Homo sapiens. 16 samples. Type: Expression profiling by high throughput sequencing; Other.

openGEO-OpenAug 2025View details →
geo24/100

RIP-seq from K562 (ENCSR026JZX)

GEO Series GSE284804. Homo sapiens. 3 samples. Type: Other.

openGEO-OpenJan 2025View details →
geo24/100

RNA-binding protein RPS27 and gene expression regulation in Kaposi’s sarcoma [RIP-seq]

GEO Series GSE212960. Homo sapiens. 4 samples. Type: Other.

openGEO-OpenOct 2023View details →
geo24/100

Anti YTHDF2 RIP-seq to identify YTHDF2 target mRNAs in P0 mouse retinas

GEO Series GSE145390. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMar 2022View details →
geo24/100

RIP-seq from GM12878 (ENCSR593SOD)

GEO Series GSE284931. Homo sapiens. 3 samples. Type: Other.

openGEO-OpenJan 2025View details →
geo24/100

Functional characterization of C. elegans Y-box binding proteins reveals tissue-specific functions and a critical role in the formation of polysomes (RIP-Seq)

GEO Series GSE62856. Caenorhabditis elegans. 12 samples. Type: Expression profiling by high throughput sequencing; Other.

openGEO-OpenJan 2015View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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