Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
334
datasets available to search
ShareScore release 0.7.1
Dataset results
334 results for “temporal variation”
Data from: Temporal variation in the vocal behaviour of southern right whales in the Auckland Islands, New Zealand
Open the record for dataset details and reuse information.
Data from: A time series model for estimating temporal variation in phenotypic selection on laying dates in a Dutch great tit population
Open the record for dataset details and reuse information.
Data from: Simple metrics to characterize inter-individual and temporal variation in habitat selection behaviour
Open the record for dataset details and reuse information.
Variation among biomes in temporal dynamics of aboveground primary production, from 1975 to 1998, LTER
This data package consists of Annual net primary production (ANPP) and annual precipitation data from 11 Long Term Ecological Research (LTER) sites across North America. Data were compiled for analyses summarized in a study published in Science (2001, 291:481-484 DOI: 10.1126/science.291.5503.481). These data were obtained online or received directly form site investigators. For those sites with multiple communities sampled, only a single, representative community type was selected from each site. Each LTER site included in this dataset used unique methods for estimating ANPP (see individual web pages at http://sites.lternet.edu/for details).
Unique cell cycle-dependent variations in the pluripotent epigenetic landscape define novel cohorts of temporal expressed bivalent genes during hESCs differentiation
GEO Series GSE55502. Homo sapiens. 24 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
On-road vehicle emission inventory and its spatio-temporal variations in North China Plain
<p>The estimated BC, CO, NH<sub>3</sub>, NMVOCs, NO<sub>x</sub>, PM<sub>10</sub>, PM<sub>2.5</sub>, and SO<sub>2</sub> emissions by each vehicle type, fuel type, and national emission standard in 53 cities in North China Plain. (Unit: tons)</p> <p> </p> <p><strong>To cite the data:</strong> Jiang, P., Zhong, X., Li, L., 2020. On-road vehicle emission inventory and its spatio-temporal variations in North China Plain. Environ. Pollut. 267, 115639. https://doi.org/10.1016/j.envpol.2020.115639.</p>
Temporal Variation of the Exposure to Pesticides in the Employees of the Limoges University Hospital
ClinicalTrials.gov study NCT06045234. IPD Sharing: NO. Countries: 1. Publications: 0.
Imaging Study of Anatomical Variations of the Superficial Temporal Artery (EVATSI)
ClinicalTrials.gov study NCT06155864. IPD Sharing: YES. Countries: 1. Publications: 0.
Spatial and Temporal Variation in the Skin Transcriptome of Atopic Dermatitis Assessed by 1.5 mm Mini Punch Biopsies
GEO Series GSE193309. Homo sapiens. 339 samples. Type: Expression profiling by high throughput sequencing.
Identifying Significant Temporal Variation in Time Course Microarray Data Without Replicates
GEO Series GSE12289. Rattus norvegicus. 32 samples. Type: Expression profiling by array.
Figure 7 in Multi-scale patterns in the host specificity of plant-dwelling arthropods: the influence of host plant and temporal variation on species richness and assemblage composition of true bugs (Hemiptera)
Figure 7. The percentage of singleton and doubleton species from the sampling period spring 2001 that are common in other locations (ground fauna, introduced species, another habitat), or during another sampling period (season, previous spring). Unknown fauna cannot be allocated an origin because they are never abundant in the total dataset (>29,000 specimens).
Spatial and Temporal Variation of Erosion Rate of the Lohit Bomi-Chayu Batholith of Eastern Himalayan Syntaxis
<p>This contains dataset for manuscript entitled - "Spatial and Temporal Variation of Erosion Rate of the Lohit Bomi-Chayu Batholith of Eastern Himalayan Syntaxis"</p>
Temporal variation of Radon measurements in three wells in the Phlegraean Fields, using LR-115 Type II Nuclear Track Detector
<p><strong>Radon-222 (222Rn), formed within the 238U chain by decay of 226Ra, is the main radioactivity source of groundwater. Radon has three radioactive isotopes but only 222Rn is of interest having a half-life of 3.8 days, since 219Rn and 220Rn are short-lived isotopes (3.8 s and 55.6 s, respectively).</strong></p> <p><strong>The values of radon and temperature measured in three wells in the Phlegraean Fields in the 1980s, 1990s and early 2000s are reported.</strong></p> <p><strong>The wells are: Damiani hot well, Costagliola cold well, Tortorelli hot well.</strong></p> <p><strong>Measur at Tortorelli were interrupted in 1993, because of technical problems, while for Damiani and Costagliola were interrupted in 2006</strong></p> <p><strong>To measure radon content we used the track-etch method. </strong></p> <p><strong>This technique uses a particle sensitive cellulose nitrate film (Kodak LR-115 type II) as the detector. The measured track density (Track/cm2 /day). </strong></p> <p><strong>A 2 x 4 cm strip of alpha-particle sensitive film is fixed into the internal top of a bell-shaped brass cylinder, long 0.2m, opened at its lower end, into which gas is permitted to flow. </strong></p> <p><strong>The cylinder was positioned about 30 cm above the water, so that the film strip can record the traces made by the radon expelled from the water.</strong></p> <p><strong>The method is commonly used in wells because water collects radon as it migrates through the rocks not only about the measurement point but for a wide area. </strong></p> <p><strong>The time interval between measurements was about 10-15 days for the cold well (Costagliola well) and about 7 days for the hot wells (Damiani and Tortorelli). </strong></p> <p><strong>The sensitive films were treated with 10% NaOH at 60°C for 90 minutes in the laboratory to enlarge the recorded alpha-tracks. The track shape depends on the energy and angle of incidence of alpha tracks</strong></p> <p><strong>Tracks were counted using a microscope with a magnification of 160X. </strong></p> <p><strong>Low radon content is detected in the cold well (Costagliola; temperature ranges between 20-27°C) , whilst radon contents in the hot wells (Damiani and Tortorelli; temperature 44°-52°C and 60-64°C, respectively).</strong></p> <p><strong>The well temperature was measured when the films were changed using a K-type thermocouple</strong></p>
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 – (i) ERSEM and (ii) ERSEM-PB (the latter includes the implementation of the mixoplankton paradigm through integration of the 'Perfect Beast' PB model; 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. The domain was configured at 350 m – 5 km high-resolution, resolving sub-km scale dynamics in the area. A nested modelling 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 – 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 Center for Hydrology and Ecology in the UK. Simulations were initialised at Jan 1<sup>st</sup> 2005, and spun up for 3 months prior to the output of the data visualised in these videos. </p> <p>The 6 videos portray spatial and temporal variation of daily averaged surface carbon biomass (μgC 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. </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 – 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> </p> <p>Mitra A, Irigoien X (2022) <strong>Mixoplankton – Marine Organisms that break the rules</strong>. EU Researcher. <a href="https://issuu.com/euresearcher/docs/mixitin_eur28_h_res">https://issuu.com/euresearcher/docs/mixitin_eur28_h_res</a> </p> <p>Flynn KJ, Mitra A, Anestis K, Anschütz 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>
ScienceDex guides
Understand access before you commit
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.