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.
310
datasets available to search
ShareScore release 0.9.0
Dataset results
310 results for “State Model”
Data files for "Ground state and spectral properties of the doped one-dimensional optical Hubbard-Su-Schrieffer-Heeger model"
<p>This repo contains the relevant data files for the paper D. Banerjee et al., "Ground state and spectral properties of the doped one-dimensional optical Hubbard-Su-Schrieffer-Heeger model". (2023) Preprint: arXiv:2303.10193</p> <p> </p>
Combining formal methods and Bayesian approach for inferring discrete-state stochastic models from steady-state data
<p>Model, data, and a script to a paper of respective name</p>
Atomistic, Macromolecular Model of the Populus Secondary Cell Wall Informed by Solid-State NMR
<p>Solid-state NMR dataset used to inform molecular model of the Populus secondary cell wall.</p> <p>Contains:</p> <p>- 2D through-bond and through-space ssNMR data on 13C-enriched Populus wood. Data used to inform spectral deconvolution of selective 1D spin-diffusion data</p> <p>- 2D gelHSQC NMR data for understanding of lignin composition</p> <p>- MultiCP-1D-DARR datasets on 5 replicates. Includes raw NMR data and ascii files of processed spectra. For each replicate, three experiments are conducted: non-selective 1D MultiCP-DARR, 22ppm selective MultiCP-DARR, and 150ppm selective MultiCP-DARR. 13C-13C spin-diffusion mixing times ranged from 0.001 to 5000 ms.</p> <p>- Excel files containing tabulated deconvoluted signal areas, and averages for key signal groups.</p> <p>- Excel files containing tabulated magnetization recovery values for each signal and signal groups for all replicates. Averaged values for X2C, X2L, L2C and L2X at the longest mixing times (see manuscript) are used as key metrics for evaluating molecular models.</p> <p>- Excel files containing tabulated T1-adjusted spin-diffusion rate constants for each replicate, and key averages.</p>
Scaling Community-Clinical Linkage Models to Address Diabetes and Hypertension Disparities in the Southeast United States
ClinicalTrials.gov study NCT04263311. IPD Sharing: YES. Countries: 1. Publications: 2.
zigzag: A Hierarchical Bayesian Mixture Model for Inferring the Expression State of Genes in Transcriptomes
Open the record for dataset details and reuse information.
Coupled PPE model output - land parameter impacts on the mean climate state
Open the record for dataset details and reuse information.
River metabolism in the contiguous United States: Random forest model code, inputs and outputs
Open the record for dataset details and reuse information.
Data from: Exploring movement decisions: can Bayesian movement-state models explain crop consumption behaviour in elephants (Loxodonta africana)?
Open the record for dataset details and reuse information.
A non‐steady state model based on dual nitrogen and oxygen isotopes to constrain moss nitrate uptake and reduction
Open the record for dataset details and reuse information.
State-space model for Svalbard ptarmigan
Open the record for dataset details and reuse information.
Supplementary files from: Improving inference and avoiding over-interpretation of hidden-state diversification models: Specialized plant breeding has no effect on diversification in frogs
Open the record for dataset details and reuse information.
Data from: Spatiotemporal modeling reveals high-resolution invasion states in glioblastoma
Open the record for dataset details and reuse information.
A multi-state occupancy model to non-invasively monitor visible signs of wildlife health with camera traps that accounts for image quality
Open the record for dataset details and reuse information.
Estimating spatio-temporal reproductive dynamics of fish populations with passive acoustic monitoring: A state-space model approach
Open the record for dataset details and reuse information.
Arctic Ocean state estimates for 2010 using the GECCO model
<p>The dataset contains the 2010 data of a 10-year ocean synthesis (2007-2016) obtained by assimilating available observations of sea ice and ocean parameters into the GECCO model. Data from, among others, several satellite programs such as AMSRE, SSMI, AMSR2, Envisat, Jason, Cryosat., AVHRR, and SMOS, and available moorings in the Davis Strait, the Bering Strait, the Fram Strait, the Barents Sea Opening, and by the Nansen and Amundsen Basins Observational System (NABOS), the North Pole Environmental Observatory (NPEO), and the Beaufort Gyre Exploration Project (BGEP) project. A detailed description can be found in Lyu et al., 2020.</p> <p>Guokun Lyu, Nuna Serra, Armin Koehl and Detlef Stammer, 2020. INTAROS Deliverable 6.4 Ice-ocean statistics and state estimation V1. https://intaros.nersc.no/sites/intaros.nersc.no/files/D6.4_INTAROS_Data_assimilation_v1.3.pdf </p>
Arctic Ocean state estimates for 2015 using the GECCO model
<p>The dataset contains the 2015 data of a 10-year ocean synthesis (2007-2016) obtained by assimilating available observations of sea ice and ocean parameters into the GECCO model. Data from, among others, several satellite programs such as AMSRE, SSMI, AMSR2, Envisat, Jason, Cryosat., AVHRR, and SMOS, and available moorings in the Davis Strait, the Bering Strait, the Fram Strait, the Barents Sea Opening, and by the Nansen and Amundsen Basins Observational System (NABOS), the North Pole Environmental Observatory (NPEO), and the Beaufort Gyre Exploration Project (BGEP) project. A detailed description can be found in Lyu et al., 2020.</p> <p>Guokun Lyu, Nuna Serra, Armin Koehl and Detlef Stammer, 2020. INTAROS Deliverable 6.4 Ice-ocean statistics and state estimation V1. https://intaros.nersc.no/sites/intaros.nersc.no/files/D6.4_INTAROS_Data_assimilation_v1.3.pdf </p>
Arctic Ocean state estimates for 2008 using the GECCO model
<p>The dataset contains the 2008 data of a 10-year ocean synthesis (2007-2016) obtained by assimilating available observations of sea ice and ocean parameters into the GECCO model. Data from, among others, several satellite programs such as AMSRE, SSMI, AMSR2, Envisat, Jason, Cryosat., AVHRR, and SMOS, and available moorings in the Davis Strait, the Bering Strait, the Fram Strait, the Barents Sea Opening, and by the Nansen and Amundsen Basins Observational System (NABOS), the North Pole Environmental Observatory (NPEO), and the Beaufort Gyre Exploration Project (BGEP) project. A detailed description can be found in Lyu et al., 2020.</p> <p>Guokun Lyu, Nuna Serra, Armin Koehl and Detlef Stammer, 2020. INTAROS Deliverable 6.4 Ice-ocean statistics and state estimation V1. https://intaros.nersc.no/sites/intaros.nersc.no/files/D6.4_INTAROS_Data_assimilation_v1.3.pdf </p>
Arctic Ocean state estimates for 2007 using the GECCO model
<p>The dataset contains the 2007 data of a 10-year ocean synthesis (2007-2016) obtained by assimilating available observations of sea ice and ocean parameters into the GECCO model. Data from, among others, several satellite programs such as AMSRE, SSMI, AMSR2, Envisat, Jason, Cryosat., AVHRR, and SMOS, and available moorings in the Davis Strait, the Bering Strait, the Fram Strait, the Barents Sea Opening, and by the Nansen and Amundsen Basins Observational System (NABOS), the North Pole Environmental Observatory (NPEO), and the Beaufort Gyre Exploration Project (BGEP) project. A detailed description can be found in Lyu et al., 2020.</p> <p>Guokun Lyu, Nuna Serra, Armin Koehl and Detlef Stammer, 2020. INTAROS Deliverable 6.4 Ice-ocean statistics and state estimation V1. https://intaros.nersc.no/sites/intaros.nersc.no/files/D6.4_INTAROS_Data_assimilation_v1.3.pdf </p>
Arctic Ocean state estimates for 2011 using the GECCO model
<p>The dataset contains the 2011 data of a 10-year ocean synthesis (2007-2016) obtained by assimilating available observations of sea ice and ocean parameters into the GECCO model. Data from, among others, several satellite programs such as AMSRE, SSMI, AMSR2, Envisat, Jason, Cryosat., AVHRR, and SMOS, and available moorings in the Davis Strait, the Bering Strait, the Fram Strait, the Barents Sea Opening, and by the Nansen and Amundsen Basins Observational System (NABOS), the North Pole Environmental Observatory (NPEO), and the Beaufort Gyre Exploration Project (BGEP) project. A detailed description can be found in Lyu et al., 2020.</p> <p>Guokun Lyu, Nuna Serra, Armin Koehl and Detlef Stammer, 2020. INTAROS Deliverable 6.4 Ice-ocean statistics and state estimation V1. https://intaros.nersc.no/sites/intaros.nersc.no/files/D6.4_INTAROS_Data_assimilation_v1.3.pdf </p>
Arctic Ocean state estimates for 2016 using the GECCO model
<p>The dataset contains the 2016 data of a 10-year ocean synthesis (2007-2016) obtained by assimilating available observations of sea ice and ocean parameters into the GECCO model. Data from, among others, several satellite programs such as AMSRE, SSMI, AMSR2, Envisat, Jason, Cryosat., AVHRR, and SMOS, and available moorings in the Davis Strait, the Bering Strait, the Fram Strait, the Barents Sea Opening, and by the Nansen and Amundsen Basins Observational System (NABOS), the North Pole Environmental Observatory (NPEO), and the Beaufort Gyre Exploration Project (BGEP) project. A detailed description can be found in Lyu et al., 2020.</p> <p>Guokun Lyu, Nuna Serra, Armin Koehl and Detlef Stammer, 2020. INTAROS Deliverable 6.4 Ice-ocean statistics and state estimation V1. https://intaros.nersc.no/sites/intaros.nersc.no/files/D6.4_INTAROS_Data_assimilation_v1.3.pdf </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.