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.
615
datasets available to search
ShareScore release 0.9.0
Dataset results
615 results for “tuning”
TUNE! Teaching the UK About Noise Exposure: A Pilot Study
ClinicalTrials.gov study NCT00916305. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Data from two dimensional electronic spectroscopy showing that photosynthesis tunes quantum-mechanical mixing of electronic and vibrational states to steer exciton energy transfer
Open the record for dataset details and reuse information.
Data from: Tuning Geometric Morphometrics: an R tool to reduce information loss caused by surface smoothing
Open the record for dataset details and reuse information.
Data from: Poor neuro-motor tuning of the human larynx: comparison of sung and whistled pitch imitation
Open the record for dataset details and reuse information.
Data from: The influence of cactus spine surface structure on puncture performance and anchoring ability is tuned for ecology
Open the record for dataset details and reuse information.
Data from: ‘Out of tune’: consequences of inbreeding on bird song
Open the record for dataset details and reuse information.
Data from: (In)exhaustible suppliers for evolution? Epistatic selection tunes the adaptive potential of non-genetic inheritance
Open the record for dataset details and reuse information.
Data from: Vision fine-tunes preparation for landing in the cane toad, Rhinella marina
Open the record for dataset details and reuse information.
Data from: Variable light environments induce plastic spectral tuning by regional opsin coexpression in the African cichlid fish, Metriaclima zebra
Open the record for dataset details and reuse information.
Data from: Visual pigment evolution in Characiformes: The dynamic interplay of teleost whole-genome duplication, surviving opsins and spectral tuning
Open the record for dataset details and reuse information.
Data from: Monocular blur alters the tuning characteristics of stereopsis for spatial frequency and size
Open the record for dataset details and reuse information.
Data from: Persist or produce: a community trade-off tuned by species evenness
Open the record for dataset details and reuse information.
Data from: Frequency tuning and directional sensitivity of tympanal vibrations in the field cricket Gryllus bimaculatus
Open the record for dataset details and reuse information.
Tuned inhibition in perceptual decision-making circuits can explain seemingly suboptimal confidence behavior: S4 data, evidence for tuned inhibition in macaque superior colliculus
Open the record for dataset details and reuse information.
Primary production, determined using an algorithm that incorporates in situ chlorophyll, ammonium, and photosynthetically active radiation, tuned to CCE C-14 NPP data, 2017 - (ongoing).
We investigated the processes driving variability in primary productivity in the California Current Ecosystem (CCE) in order to develop an algorithm for predicting primary productivity from in situ irradiance, nutrient, and chlorophyll (chl) measurements. Primary productivity data from seven process cruises of the CCE Long-Term Ecological Research (CCE LTER) program were used to parameterize the algorithm. An initial algorithm was developed using only irradiance to predict chl-specific productivity was found to have model-data misfit that was correlated with NH4+ concentrations. We thus found that the best estimates of primary productivity were obtained using an equation including NH4+ and irradiance: PP/Chl = V0m×(1-exp(-α×PAR/V0m)×NH4/(NH4+KS), where PP/Chl is chlorophyll-specific primary production in units of mg C d-1 / mg Chl, PAR is photosynthetically active radiation (units of µEi m-2 s-1) , NH4+ is in units of μmol L-1, V0m = 66.5 mg C d-1 / mg Chl , α = 1.5, and KS = 0.025 μmol L-1. We then used this algorithm to compute primary productivity rates for the CCE-P1706 cruise on which in situ primary productivity samples were not available. We compared these estimates to independent productivity estimates derived from protistan grazing dilution experiments and found excellent agreement. For additional details, see Stukel et al. 2019 (doi: 10.1101/590240).
Vertically-integrated primary production, determined using an algorithm that incorporates in situ chlorophyll, ammonium, and photosynthetically active radiation, tuned to CCE C-14 NPP data, 2017 - (ongoing).
We investigated the processes driving variability in primary productivity in the California Current Ecosystem (CCE) in order to develop an algorithm for predicting primary productivity from in situ irradiance, nutrient, and chlorophyll (chl) measurements. Primary productivity data from seven process cruises of the CCE Long-Term Ecological Research (CCE LTER) program were used to parameterize the algorithm. An initial algorithm was developed using only irradiance to predict chl-specific productivity was found to have model-data misfit that was correlated with NH4+ concentrations. We thus found that the best estimates of primary productivity were obtained using an equation including NH4+ and irradiance: PP/Chl = V0m×(1-exp(-α×PAR/V0m)×NH4/(NH4+KS), where PP/Chl is chlorophyll-specific primary production in units of mg C d-1 / mg Chl, PAR is photosynthetically active radiation (units of µEi m-2 s-1) , NH4+ is in units of μmol L-1, V0m = 66.5 mg C d-1 / mg Chl , α = 1.5, and KS = 0.025 μmol L-1. We then used this algorithm to compute primary productivity rates for the CCE-P1706 cruise on which in situ primary productivity samples were not available. We compared these estimates to independent productivity estimates derived from protistan grazing dilution experiments and found excellent agreement. For additional details, see Stukel et al. 2019 (doi: 10.1101/590240).
Tuning water use efficiency and drought tolerance in wheat using ABA receptors
GEO Series GSE79522. Triticum aestivum. 18 samples. Type: Expression profiling by high throughput sequencing.
TCR and inflammatory signals tune human MAIT cells to exert specific tissue repair and effector functions
GEO Series GSE129906. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
Meningeal natural killer cells and innate lymphoid cells 1 tune anxiety and memory via interferon-γ and acetylcholine
GEO Series GSE212089. Mus musculus. 1 samples. Type: Expression profiling by high throughput sequencing.
Global fine-tuning of translation by queuosinylation and Dnmt2-dependent tRNA methylation
GEO Series GSE102376. Schizosaccharomyces pombe. 36 samples. Type: Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing.
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.