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301 results for “bloom”

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geo20/100

Transcriptomic analysis between Red-Flesh and White-Flesh Mesocarps in Red-Flesh apple at 84 Days After Full Bloom (DAFB)

GEO Series GSE269214. Malus domestica. 6 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJun 2024View details →
geo20/100

Altered gene expression in Werner & Bloom syndromes is associated with sequences having G-quadruplex forming potential

GEO Series GSE19205. Homo sapiens. 12 samples. Type: Expression profiling by array.

openGEO-OpenDec 2009View details →
geo20/100

Bloom syndrome protein restrains innate immune sensing of DNA damage by cGAS.

GEO Series GSE123447. Homo sapiens. 6 samples. Type: Expression profiling by array.

openGEO-OpenMar 2019View details →
geo20/100

Metatranscriptomes of phytoplankton blooms from an ocean acidification mesocosm experiment

GEO Series GSE10119. marine metagenome. 4 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenFeb 2008View details →
zenodo20/100

Investigating the correlation between gamification and Bloom's Taxonomy

Open the record for dataset details and reuse information.

restrictedcc-by-4.0Apr 2024View details →
ClinicalTrials.gov20/100

BLOOM Forward: Investigating Weight Loss Impact on TJAC Patients

ClinicalTrials.gov study NCT06103552. IPD Sharing: NO. Countries: 0. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov20/100

Biological Significance of the Bloom's Syndrome Protein

ClinicalTrials.gov study NCT00021437. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
geo20/100

Bloom syndrome protein modulates protein-coding gene and miRNA expression as a function of G4 DNA content

GEO Series GSE54502. Homo sapiens; Mus musculus. 74 samples. Type: Expression profiling by array; Non-coding RNA profiling by array.

openGEO-OpenJun 2014View details →
geo16/100

Gene expression profiling in lung and breast cancer cells treated by Bloom-specific siRNAs

GEO Series GSE136105. Homo sapiens. 18 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenAug 2019View details →
geo16/100

Comparison of pear ‘La France’ and its bud mutant ‘Giant Laf’ (2010 expt, receptacle at 1 week before full bloom stage)

GEO Series GSE38550. Pyrus communis; Pyrus pyrifolia. 6 samples. Type: Expression profiling by array.

openGEO-OpenDec 2012View details →
geo16/100

Phytoplankton assemblage during the North Atlantic spring bloom assessed from functional gene analysis

GEO Series GSE81262. synthetic construct; seawater metagenome. 13 samples. Type: Other.

openGEO-OpenMay 2016View details →
zenodo16/100

Model code and Data for manuscript 'The Role of Wave-induced Mixing in Spring Phytoplankton Bloom in the South Yellow Sea'

<p>This repository contains four files:</p> <p>(1) Wave-induced mixing data for China seas;</p> <p>(2) Water transparency data for the South Yellow Sea;</p> <p>(3) Observation data used in this study; and</p> <p>(4) Model code for our ecological model and model experiments, including configuration data file.&nbsp;</p>

restrictedcc-by-4.0Jun 2024View details →
geo16/100

Phenotypes and niche adaptation of bloom forming Microcystis aerruginosa in a heterogeneous environment revealed by RNA-seq

GEO Series GSE107852. Microcystis aeruginosa KW. 2 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenDec 2017View details →
geo12/100

affy_floral_rose-Study of floral initiation and recurrent blooming in rose

GEO Series GSE17370. Rosa lucieae; Rosa hybrid cultivar; Rosa. 26 samples. Type: Expression profiling by array.

openGEO-OpenSep 2011View details →
geo12/100

Grafting changed silicon metabolism and expression of bloom-forming related genes of cucumber pericarp

GEO Series GSE79829. Cucumis sativus. 16 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenApr 2020View details →
geo12/100

Blooming Resilience: Transcriptomic Insights into Cotton Flower Responses to Boll Weevil Infestation

GEO Series GSE285343. Gossypium hirsutum. 12 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenAug 2025View details →
zenodo12/100

Coastal phytoplankton blooms expand and intensify in the 21st century:data and code

<p>This repository contains the relevant dataset and code for the paper&nbsp;<strong>Coastal phytoplankton blooms expand and intensify in the 21st century.</strong></p> <p>We generated a satellite-based dataset of phytoplankton bloom occurrence to characterize the spatial and temporal patterns of algal blooms in coastal oceans globally. The dataset was derived using global, 1-km resolution daily observations from the Moderate&nbsp;Resolution&nbsp;Imaging&nbsp;Spectroradiometer (MODIS) onboard NASA&#39;s Aqua satellite, and all 0.76 million images acquired by this satellite mission between 2003 and 2020 were used.&nbsp;</p> <p>Please refer to the README file in code_examples.rar file for more detailed information.</p>

restrictedNov 2022View details →
zenodo12/100

Example simulation showing spatial and temporal variations in surface carbon biomass of plankton functional groups during a Spring bloom as shown by a 3D hydrodynamic-biogeochemical model (FVCOM-ERSEM), with and without integration of the mixoplankton paradigm.

<p>The outputs are from simulations from using the FVCOM hydrodynamic model coupled to two different versions of ERSEM &ndash; (i) ERSEM and (ii) ERSEM-PB (the latter includes the implementation of the mixoplankton paradigm through integration of the &#39;Perfect Beast&#39; PB&nbsp;model;&nbsp;Flynn and Mitra 2009 <em>Journal of Plankton Research</em>).</p> <p>The FVCOM domain was configured to represent Lyme Bay: a protected bay on the South Coast of England. This region is an important area for shellfish aquaculture.&nbsp; The&nbsp;domain was configured at 350 m &ndash; 5 km high-resolution, resolving sub-km scale dynamics in the area. A nested modelling&nbsp;approach of increasing model resolution was set up using two model domains. For the coupled hydrodynamic-biogeochemical model, a parent domain of 1.5 km &ndash; 10 km resolution was used to drive Lyme Bay model domain. The atmospheric forcing was provided by a 3-step downscaling of GFS global datasets to reach the 3 km of the final model domain using the Weather Research Forecast (WRF) model. Hydrodynamic boundary conditions are extracted from the European Copernicus Marine System North West European Shelf Forecast system. River flows were extracted from a National scale hydrology model run by the&nbsp;Center for Hydrology and Ecology in the UK. Simulations were initialised at Jan 1<sup>st</sup>&nbsp;2005, and spun up for 3 months prior to the output of the data visualised in these videos.&nbsp; &nbsp;</p> <p>The 6 videos portray spatial and temporal variation of daily averaged surface carbon biomass (&mu;gC L<sup>-1</sup>) during the month of April 2005 for the different plankton functional types (FTs) as follows:</p> <ul> <li>Video 1: all phytoplankton FTs in standard ERSEM grouped together. These thus include diatoms, nano-, pico- and micro- plankton; i.e., these simulations do not discriminate between phytoplankton and constitutive mixoplankton (CM).</li> <li>Video 2: phytoplankton FT in ERSEM-PB now considering only diatoms and picoplankton (i.e., cyanobacteria) only; CM are now included in Video 3 outputs.</li> <li>Video 3: all mixoplankton FTs grouped together in ERSEM-PB. These outputs thus include biomasses of micro-CM, nano-CM and NCM.</li> <li>Video 4: all zooplankton FTs grouped together in standard ERSEM. Thus, these include nanoflagellates, meso- and micro- zooplankton and thus includes the primary producing non-constitutive mixoplankton</li> <li>Video 5: zooplankton FT representing only the heterotrophic nano- and micro- zooplankton in ERSEM-PB.</li> <li>Video 6: spatio-temporal variability between the constitutive and non-constitutive mixoplankton functional groupings within FVCOM-ERSEM-PB.&nbsp;</li> </ul> <p>For further information about the mixoplankton paradigm, please see the following open access publications and references there in:</p> <p>Mitra A, Caron DA, Faure E, Flynn KJ, Leles SG, Hansen PJ, McManus GB, Not F, Gomes HR, Santoferrara L, Stoecker DK, Tillmann U (2023) <strong>The Mixoplankton Database &ndash; diversity of photo-phago-trophic plankton in form, function and distribution across the global ocean</strong>. <em>Journal of Eukaryotic Microbiology</em>, e12972. <a href="https://doi.org/10.1111/jeu.12972">https://doi.org/10.1111/jeu.12972</a></p> <p>Glibert PM, Mitra A (2022) <strong>From webs, loops, shunts, and pumps to microbial multitasking: evolving concepts of marine microbial ecology, the mixoplankton paradigm, and implications for a future ocean</strong>. <em>Limnology and Oceanography</em> 67: 585-597 <a href="https://doi.org.10.1002/lno.12018">https://doi.org.10.1002/lno.12018</a> &nbsp;</p> <p>Mitra A, Irigoien X (2022) <strong>Mixoplankton &ndash; Marine Organisms that break the rules</strong>.&nbsp; EU Researcher. <a href="https://issuu.com/euresearcher/docs/mixitin_eur28_h_res">https://issuu.com/euresearcher/docs/mixitin_eur28_h_res</a> &nbsp;&nbsp;&nbsp;</p> <p>Flynn KJ, Mitra A, Anestis K, Ansch&uuml;tz AA, Calbet A, et al. (2019) <strong>Mixotrophic protists and a new paradigm for marine ecology: where does plankton research go now?</strong> <em>Journal of Plankton Research</em> 41: 375-391 <a href="https://doi.org/10.1093/plankt/fbz026">https://doi.org/10.1093/plankt/fbz026</a></p>

restrictedMar 2023View details →
geo12/100

Transcriptome and gene expression analysis during flower blooming in Rosa chinensis ‘Pallida’

GEO Series GSE54486. Rosa chinensis. 1 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJan 2015View details →
geo12/100

Harmful algal bloom toxin microcystin-LR interferes with PP1-mediated PI3K/AKT/FOXO1 signaling in granulosa cells to disrupt ovarian follicle maturation and ovulation

GEO Series GSE201806. Mus musculus. 15 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJun 2024View 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

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.

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