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4,243 results for “SEASONALITY”

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geo24/100

Development of gene expression profile for a seasonal variation study in a natural population of Riba-Roja, in the Ebro River, Spain

GEO Series GSE35353. Dreissena polymorpha. 10 samples. Type: Expression profiling by array.

openGEO-OpenJan 2012View details →
geo24/100

Identification and characterization of circannual calendar cells within the pituitary driving seasonal cycles in mammals

GEO Series GSE65901. Ovis aries. 41 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenOct 2015View details →
geo24/100

Seasonal Light Hours Modulate Peripheral Clocks and Energy Metabolism in Mice

GEO Series GSE222550. Mus musculus. 32 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenSep 2023View details →
geo24/100

A time-course transcriptomic analysis during the cork growing season highlights the regulatory and developmental processes from phellogen to phellem formation

GEO Series GSE155544. Quercus suber. 11 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJun 2021View details →
geo24/100

Comparative study on seasonal hair follicle cycling by analysis of the transcriptomes from cashmere and milk goats

GEO Series GSE84947. Capra hircus. 8 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJul 2019View details →
geo24/100

Single-cell analysis of the epigenomic and transcriptional landscape of innate immunity to seasonal and adjuvanted pandemic influenza vaccination in humans (TIV_scATAC-seq)

GEO Series GSE165906. Homo sapiens. 18 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenJun 2021View details →
geo24/100

Seasonal changes of gene expression of eyes in Medaka fish (Oryzias latipes)

GEO Series GSE94258. Oryzias latipes. 7 samples. Type: Expression profiling by array.

openGEO-OpenSep 2017View details →
geo24/100

Seasonal changes of gene expression of brains (ventral part of telenchephalon, hypothalamus and pituitary) in Medaka fish (Oryzias latipes)

GEO Series GSE119837. Oryzias latipes. 36 samples. Type: Expression profiling by array.

openGEO-OpenApr 2019View details →
geo24/100

DNA methylome analysis in infants from The Gambia / Aflatoxin / Seasonality study

GEO Series GSE59592. Homo sapiens. 124 samples. Type: Methylation profiling by array.

openGEO-OpenApr 2015View details →
geo24/100

Seasonal Heat Stress Effects on Transcriptomic Profiles and DNA Methylation of Bovine Oocytes

GEO Series GSE166413. Bos taurus. 24 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenApr 2021View details →
geo24/100

RNA-seq analysis of seasonal and individual variation in blood transcriptomes of healthy captive bottlenose dolphins

GEO Series GSE78770. Tursiops truncatus. 31 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenSep 2016View details →
geo24/100

Seasonal divergence in reproductive timing on the verge of spring: comparing hypothalamic transcriptome of two seasonally sympatric North American songbird populations.

GEO Series GSE305857. Junco hyemalis. 13 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenSep 2025View details →
geo24/100

Seasonal changes of gene expression of whole brain in Medaka fish (Oryzias latipes) LW

GEO Series GSE124985. Oryzias latipes. 10 samples. Type: Expression profiling by array.

openGEO-OpenApr 2020View details →
geo24/100

Gene expression profiling of monocyte in response to Pf-iRBC stimulation from Pf-PCR negative Malian children and adults during dry season.

GEO Series GSE151116. Homo sapiens. 24 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMar 2021View details →
nasa24/100

Global Monthly and Seasonal Urban and Land Backscatter Time Series, 1993-2020

The Global Monthly and Seasonal Urban and Land Backscatter Time Series, 1993-2020, is a multi-sensor, multi-decadal, data set of global microwave backscatter, for 1993 to 2020. It assembles data from C-band sensors onboard the European Remote Sensing Satellites (ERS-1 and ERS-2) covering 1993-2000, Advanced Scatterometer (ASCAT) onboard EUMETSAT satellites for 2007-2020, and the Ku-band sensor onboard the QuikSCAT satellite for 1999-2009, onto a common spatial grid (0.05 degree latitude /longitude resolution) and time step (both monthly and seasonal). Data are provided for all land (except high latitudes and islands), and for urban grid cells, based on a specific masking that removes grid cells with > 50% open water or < 20% built land. The all-land data allows users to choose and evaluate other urban masks. There is an offset between C-band and Ku-band backscatter from both vegetated and urban surfaces that is not spatially constant. There is a strong linear correlation (overall R-squared value = 0.69) between 2015 ASCAT urban backscatter and a continental-scale gridded product of building volume, across 8,450 urban grid cells (0.05 degree resolution) from large cities in Europe, China, and the United States.

restrictednotspecifiedApr 2025View details →
nasa24/100

Seasonal frost penetration, Sleepers River Research Watershed, Vermont, USA, Version 1

The frost tube network is located within a 3.25-square-mile sub-watershed of the Sleepers River Research Watershed near Danville, Vermont, USA. Tubes were positioned in forested and non-forested cover types. The forest cover includes beech, birch, maple hardwoods with a 7% slope and 240 degree aspect, mixed conifer (spruce and balsam) and hardwoods with a 3% slope and 240 degree aspect, and coniferous forest with a 3% slope and 240 degree aspect. The open areas include two large non-cultivated agricultural fields (with approximate 5% slopes and aspects of 240 and 15 degrees) and a small heavily instrumented opening. Site data were generally recorded weekly. Snow depth was measured with a metal meter ruler while frost readings were measured from a plastic tube filled with methylene blue dye suspended in a PVC outer tube. Data cover winter seasons 1983-84 to 1992-93 only. These data are presented on the CAPS Version 1.0 CD-ROM, June 1998.

restrictednotspecifiedApr 2025View details →
nasa24/100

Seasonal frost and soil temperature data, Western Cape Mountains, South Africa, Version 1

Micro-climatic monitoring of air and ground was started in 1990 to evaluate climatic controls on the present-day diurnal soil frost environment in the Western Cape mountains of South Africa. To this effect two data logger stations were established in the summit region of the Waaihoek mountains. Two sites were established at Waaihoek Peak and Mount Superior, respectively.Waaihoek Peak - The Waaihoek Peak monitoring site is positioned on the southeast extension of a small summit plateau at 1900m elevation where it changes into a southeast trending ridge flanked by two small valleys. The station stands on a 4 to 5 degree slope with an aspect of 140 degrees and is underlain by steeply dipping quartzitic sandstone of the Peninsula Formation. A shallow sandy soil here reaches a thickness of 0.35m and supports a sparse vegetation cover of Restio (Cape reeds) species up to 0.2m high with a total cover of around 30%. Initially both daily and hourly records were kept which necessitated frequent visits to replace the data storage tapes. As from 29-11-1992 only daily records were kept, including maximum and minimum temperature and 24 hour precipitation totals. Average daily soil moisture levels were recorded only as the range between daily maximum and minium values proved to be minimal.Mount Superior - Field observations established the presence of active soil frost features near Mount Superior during December 1991. A second data logger site was consequently established by 1-5-1993 to provide microclimatic data from a site with a different substrate and currently active soil-frost processes. The Mount Superior station is positioned 5km SSE of the Waaihoek Peak site on a flat summit plateau of Cedarberg shale at 1860m elevation. The surface cover is comprised of fractured bedrock and bare shallow soil with tussocks of Restio spp. up to 0.5m high. Daily maximum and minimum temperature were recorded for each sensor as well as daily average relative soil moisture levels and daily precipitation totals.These data are presented on the CAPS Version 1.0 CD-ROM, June 1998.

restrictednotspecifiedApr 2025View details →
nasa24/100

Seasonal and annual dynamics of frozen ground, central highland of Iceland, Version 1

This dataset documents a nine-year study to investigate the seasonal and annual dynamics of frozen ground and explore the relationship with environmental factors. The presence/absence of frozen ground and active layer thickness were recorded three times over the growing season (4-7 July, 1-4 August, and 20-24 August) at 51 permanent points in different plant communities and on 12 palsas (Thorhallsdottir 1996, p. 237). Sample size is variable: 33 permanent measurement stations in 1983, 29 in 1984, 63 in 1985-1991. Active layer depth measurement sites averaged 51 over the span of the data set. Data include mean active layer depth (and standard error) in early July and early August (for palsas and with palsas excluded); monthly degree days above zero, precipitation, snow depth, and frost degree days (i.e., below zero.) Data are presented on the CAPS Version 1.0 CD-ROM, June 1998.

restrictednotspecifiedApr 2025View details →
nasa24/100

MISR Level 3 Cloud Top Height-Optical Depth Product covering a quarter (seasonal) V001

Multi-angle Imaging SpectroRadiometer (MISR) is designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successfully imaged by all nine cameras in 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth's environment and distinguish different types of clouds, particles, and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. This file contains the public MISR Level 3 CloudTopHeight-OpticalDepth Product covering a quarter (seasonal).

restrictednotspecifiedApr 2025View details →
nasa24/100

MISR Level 3 Component Global Cloud Product covering a quarter (seasonal) V002

This file contains the public MISR Level 3 Component Global Cloud Product covering a quarter (seasonal).MIL3QCLD_002 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 3 Component Global Cloud Product covering a quarter (seasonal) version 2 data product. It is a global summary of relevant Level 1 and Level 2 cloud parameters, averaged over a quarter (season) and reported on a geographic grid, with a resolution of 0.5 degree by 0.5 degree. The seasons are winter (December from the previous year, January, February), spring (March, April, May), summer (June, July, August), and fall (September, October, November). Data collection for this product is ongoing.The MISR instrument consists of nine push-broom cameras that measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four forward, and four aftward. It takes seven minutes for all nine cameras to view the exact surface location. The view angles relative to the surface reference ellipsoid are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.MISR is designed to view Earth with cameras in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all nine cameras in 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the effects of sunlight on Earth and distinguish different types of clouds, particles, and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.

restrictednotspecifiedApr 2025View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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

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