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.
1,782
datasets available to search
ShareScore release 0.9.0
Dataset results
1,782 results for “Algorithm”
Data from: Suitability of different mapping algorithms for genome-wide polymorphism scans with Pool-Seq data.
Open the record for dataset details and reuse information.
Data from: Comparison of photo-matching algorithms commonly used for photographic capture-recapture studies
Open the record for dataset details and reuse information.
Data from: Using branch-and-bound algorithms to optimize selection of a fixed-size breeding population under a relatedness constraint
Open the record for dataset details and reuse information.
Data from: The effect of close relatives on unsupervised Bayesian clustering algorithms in population genetic structure analysis
Open the record for dataset details and reuse information.
Data from: A general and efficient algorithm for the likelihood of diversification and discrete-trait evolutionary models
Open the record for dataset details and reuse information.
Data from: An alternative approach to reduce algorithm-derived biases in monitoring soil organic carbon changes
Open the record for dataset details and reuse information.
Data from: Improving HybrID: how to best combine indirect and direct encoding in evolutionary algorithms
Open the record for dataset details and reuse information.
Data from: Selection of Pairings Reaching Evenly Across the Data (SPREAD): a simple algorithm to design maximally informative fully crossed mating experiments
Open the record for dataset details and reuse information.
Data from: Multiresponse algorithms for community-level modeling: review of theory, applications, and comparison to species distribution models
Open the record for dataset details and reuse information.
Data from: A single microphone noise reduction algorithm based on the detection and reconstruction of spectro-temporal features
Open the record for dataset details and reuse information.
Data from: Accelerating adaptive inverse distance weighting interpolation algorithm on a graphics processing unit
Open the record for dataset details and reuse information.
Data from: Reducing cryptic relatedness in genomic datasets via a central node exclusion algorithm
Open the record for dataset details and reuse information.
Data from: An advanced shape-fitting algorithm applied to quadrupedal mammals: improving volumetric mass estimates
Open the record for dataset details and reuse information.
The impact of cardiopulmonary resuscitation on a cannot intubate, cannot oxygenate condition – a randomised crossover simulation research study of the interaction between two algorithms
Open the record for dataset details and reuse information.
Data from: Taking advantage of hybrid bioinspired intelligent algorithm with decoupled extended Kalman filter for optimizing growing and pruning radial basis function network
Open the record for dataset details and reuse information.
Data from: Standardizing the protocol for hemispherical photographs: accuracy assessment of binarization algorithms
Open the record for dataset details and reuse information.
Data from: Pruning rogue taxa improves phylogenetic accuracy: an efficient algorithm and webservice
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).
Cross-track Infrared Sounder (CrIS) Level 2 Earth System Science Profiling Algorithm Ammonia Retrieval Algorithm (ESSPA-NH3) V1 (SNDRSNIL2ESPNH3)
The objective of this limited edition data collection is to examine the ammonia products generated by the ESSPA (Earth System Science Profiling Algorithm) algorithm from the Cross-track Infrared Sounder (CrIS) instruments. The CrIS instrument used for this product is deployed on board the Suomi National Polar-orbiting Partnership (SNPP) platform and uses the Normal Spectral Resolution (NSR) data. The CrIS instrument is a Fourier transform spectrometer with a total of 1305 NSR infrared sounding channels covering the longwave (655-1095 cm-1), midwave (1210-1750 cm-1), and shortwave (2155-2550 cm-1) spectral regions.The NH3 L2 ammonia algorithm is based on an AER (Atmospheric and Environmental Research, Inc.) program initially developed to process TES (Tropospheric Emissions Spectrometer) trace gas products. This version runs within the ESSPA software framework: it uses the AER OSS forward model and an optimal estimation approach with a Levenberg-Marquardt algorithm. Temperature and water profiles are obtained from the CLIMCAPS Field of Regard (FOR) products, as are initial guesses for surface temperature and emissivity. The algorithm consists of a two-step sequential retrieval the first step retrieves surface temperature and emissivity and the second step an ammonia profile. The algorithm produces ammonia retrievals on every field of view (FOV) in each FOR.A level 2 granule has been set as 6 minutes of data, 30 footprints crosstrack by 45 lines along track. There are 240 granules per day, with an orbit repeat cycle of approximately 16 day.
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.