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.
274
datasets available to search
ShareScore release 0.9.0
Dataset results
274 results for “data consistency”
Data and codes for the self-consistent analysis of GUVI and SEE observations
<p>This dataset contains the data and Matlab codes that can be used to reproduce all the figures in the following manuscript:</p><p>Resolving some longstanding issues in far ultraviolet remote sensing: A self-consistent analysis of the GUVI and SEE observations on the TIMED mission</p>
Data and Codes of A Deep Learning-Based Consistency Test for Earth System Models on Heterogeneous Many-Core Systems
<p>These are the supporting information to verify the results in the paper, including input data, model outputs, the postprocessing scripts and the source codes.</p>
Data set consisting of proteins with associated hydration sites calculated by WATsite
<p>The data set contains 3793 proteins. Each protein is provided as "protein_sasa.pdb", also specifying the SASA value per atom. For each protein, the hydration sites with associated occupancy and thermodynamic properties were calculated using WATsite and are provided in the files "watsite.csv".</p>
Data and code for Recent observations of Thwaites Glacier, West Antarctica are consistent with high rates of loss in next 50 years
<p><span>This repository contains the code and input files needed for running the MITgcm and ISSM experiments in this manuscript, and the relevant outputs from the experiments.</span></p> <p><span>1. STREAMICE</span></p> <p><span>the STREAMICE folder contains the following subfolders:</span></p> <p><span>code: contains all MITgcm source files for calibration experiments that are not included in the MITgcm repository</span></p> <p><span>code_proj: similar to code/ but for projection experiments</span></p> <p><span>model_input: contains subdirectories containing binary inputs and parameter files for all experiments in the manuscript</span></p> <p><span>model_output: output from each projection experiment is contained in a .mat file with the following arrays:</span></p> <ul> <li><span> X, Y: x-and y-coordinates in WGS 84 / Antarctic Polar Stereographic (EPSG:3031)</span></li> <li><span> BED: bed elevation (m)</span></li> <li><span> BETA: \beta described in the manuscript (units: Pa^(1/2) (m/a)^{-1/6})</span></li> <li><span> BGLEN: \overline{B} described in the manuscript (units: Pa^(1/2) a^{-1/6})</span></li> <li><span> SURF: ice surface elevation (m)</span></li> <li><span> THICK: ice thickness (m)</span></li> <li><span> THICK0: initial ice thickness (m)</span></li> <li><span> VX: x-velocity (m/a)</span></li> <li><span> VY: y-velocity (m/a)</span></li> <li><span> times:<span> </span>time in years after 2004</span></li> </ul> <p><span>checkpoint 68y of the MITgcm source code (mitgcm.org) was used for this study.</span></p> <p><span>m1qn3 (https://who.rocq.inria.fr/Jean-Charles.Gilbert/modulopt/optimization-routines/m1qn3/m1qn3.html) was used for optimisation.</span></p> <p><span>details of how to compile and run the forward and adjoint STREAMICE code can be found at https://mitgcm.readthedocs.io/en/latest/</span></p> <p><span>-------------------------------------------</span></p> <p><span>2. ISSM</span></p> <p><span>runme.m contains all ISSM instructions to run the experiments.</span></p> <p><span>output/ contains mat files for all experiments, with array descriptions as above.</span></p> <p><span>ISSM source and documentation can be found at https://issm.jpl.nasa.gov/.</span></p>
Code and data for: Ladder fuels, not canopy volumes, consistently associated with forest wildfire severity even in extreme topographic-weather conditions
<p>Code and associated metrics for Hakkenberg et.al. 2024. Ladder fuels rather than canopy volumes consistently predict wildfire severity even in extreme topographic-weather conditions</p> <p>Contact chrishakkenberg@gmail.com for all questions and requests</p>
Data for Sagebrush: Consistent individual variation in plant communication: Do plants have personalities?
<p>Animal biologists have recently focused on individual variation in behavioral traits and have found that individuals of many species have personalities. These are defined as consistent intraspecific differences in behaviors that are repeatable across different situations and stable over time. When animals sense danger, some individuals will alert neighbors with alarm calls and both calling and responding vary consistently among individuals. Plants, including sagebrush, emit volatile cues when they are attacked by herbivores and neighbors perceive these cues and reduce their own damage. We experimentally transferred volatiles between pairs of sagebrush plants to evaluate whether individuals showed consistent variation in their effectiveness as emitters and as receivers of cues. We found that 64% of the variance in chewing damage to branches over the growing season was attributable to the identity of the individual receiving the cues. This variation could have been caused by inherent differences in the plants as well as by differences in the environments where they grew and their histories. We found that 5% of the variance in chewing damage was attributable to the identity of the emitter that provided the cue. This fraction of variation was statistically significant and could not be attributed to the environmental conditions of the receiver. Effective receivers were also relatively effective emitters, indicating consistency across different situations. Pairs of receivers and emitters that were effective communicators in 2018 were again relatively effective in 2019, indicating consistency over time. These results suggest that plants have repeatable individual personalities with respect to alarm calls.</p>
An example dataset for Multi-modal brain tumor data completion based on reconstruction consistency loss
<p>This is part of inputs and corresponding prediction results of the method, which is proposed in "Multi-modal brain tumor data completion based on reconstruction consistency loss" . This dataset can be only used for paper review, please do not share, thanks. The struction of this dataset is as follows:</p> <p>1.There are three folders, where pred_data stores the network image outputs. test_data stores the input images. trained model include the trained model by our network.</p> <p>2.The serial number is in a one-to-one correspondence.</p> <p>3.If you want to use the trained model, please download brats18 dataset and preprocess your dataset, which can refer to <a href="https://github.com/zhangshuang317/RAGAN/">https://github.com/zhangshuang317/RAGAN/</a>.</p>
Fulfilling Industrial Needs for Consistency Among Engineering Artifacts - Evaluation Data
<p>This is a dataset with the evaluation data from the paper entitled "Fulfilling Industrial Needs for Consistency Among Engineering Artifacts". The dataset also contains two demo videos showing the approach being used in practice.</p>
Data from: Consistency in the flight and visual orientation distances of habituated chacma baboons after an observed leopard predation: Do flight initiation distance methods always measure perceived predation risk?
<p>Flight initiation distance (FID) procedures are used to assess the risk perception animals have for threats (e.g., natural predators, hunters) but it is unclear whether these assessments remain meaningful if animals have habituated to certain human stimuli (e.g., researchers, tourists). Our previous work showed that habituated baboons displayed individually distinct and consistent responses to human approaches, a tolerance trait, but it is unknown if the trait is resilient to life-threatening scenarios. If it were consistent, it would imply FIDs might measure specific human threat perception only and not generalise to other threats such as predators when animals have experienced habituation processes. We used FID procedures to compare baseline responses to the visual orientation distance, FID, and individual tolerance estimates assessed after a leopard predation on an adult male baboon (group member). All variables were consistent despite the predation event, suggesting tolerance to observers was largely unaffected by the predation and FID procedures are unlikely to be generalisable to other threats when habituation has occurred. FID approaches could be an important tool for assessing how humans influence animal behaviour across a range of contexts, but careful planning is required to understand the type of stimuli presented.</p>
Data and code for whole group tracking reveals that relatedness drives consistent subgrouping patterns in white-nosed coatis
<p>Three groups of wild white-nosed coatis were tracked with GPS collars between 2021 and 2023. Two groups (Galaxy and Trago) were tracked in Soberania National Park (SNP) (9° 12’ N, -79° 70’ W) and one group (Presidente) were tracked on Barro Colorado Island (BCI) (9° 16’ N, -79° 83’ W), Panama. Almost all group members were equipped with GPS collars that recorded one GPS fix every 10 minutes from 0600-1800 and 1 fix every hour from 1800-0600. Collars collected data for 15-21 days depending on the group. Adult males and one adult female from a different group were also collared during the Presidente collar period.</p> <p>Analysis was done in R, all scripts are in the coati_subgrouping_code folder, where there is a README file describing the code in more detail. Data are in the coati_subgrouping_data folder where there is a README describing the how the data are organised and structured. </p>
FIGURE 21. Habit and floral details. A in Can a rainbow consist of a single colour? A new comprehensive generic arrangement of the 'Iris sensu latissimo' clade (Iridaceae), congruent with morphology and molecular data
FIGURE 21. Habit and floral details. A) Zhaoanthus minutoaureus (Hooker 1910: t. 8293); B) Iridodictyum bakerianum (Foster 1889: t. 7084); C) Cryptobasis loczyi (photo: Georgy Lazkov); D) Cryptobasis mariae (photo: Elena Rahimova); E) Hermodactylus tuberosus (Syme 1869: t. 1496).
FIGURE 20 in Can a rainbow consist of a single colour? A new comprehensive generic arrangement of the 'Iris sensu latissimo' clade (Iridaceae), congruent with morphology and molecular data
FIGURE 20. Approximate distribution areas: A) Joniris (yellow); B) Cryptobasis (red); C) Syrianthus (green).
FIGURE 15. Habit and floral details. A in Can a rainbow consist of a single colour? A new comprehensive generic arrangement of the 'Iris sensu latissimo' clade (Iridaceae), congruent with morphology and molecular data
FIGURE 15. Habit and floral details. A) Limniris sibirica (Dietrich 1832–1833: t. 45); B) L. tenax (Hooker 1834: t. 3343); C) L. pseudacorus (Lindman 1922–1926: t. 398); D) L. wilsonii (Smith 1910: t. 8340).
FIGURE 12 in Can a rainbow consist of a single colour? A new comprehensive generic arrangement of the 'Iris sensu latissimo' clade (Iridaceae), congruent with morphology and molecular data
FIGURE 12. Approximate distribution areas: A) Iris sect. Psammiris (yellow); B) I. sect. Oncocyclus (red); C) I. sect. Regelia (blue); D) I. sect. Pseudoregelia (violet).
FIGURE 10 in Can a rainbow consist of a single colour? A new comprehensive generic arrangement of the 'Iris sensu latissimo' clade (Iridaceae), congruent with morphology and molecular data
FIGURE 10. Habit and floral details in habitat. A) Iris (Iris) lutescens (photo: Mario Martínez-Azorín); B) Iris (Psammiris) humilis (photo: Peter Bohnert); C) Iris (Oncocyclus) helena (photo: Ruslan Mishustin); D) Iris (Regelia) korolkowii (photo: Rafael Díez Domínguez); E) Iris (Pseudoregelia) dolichosiphon (photo: Rafael Díez Domínguez).
FIGURE 19 in Can a rainbow consist of a single colour? A new comprehensive generic arrangement of the 'Iris sensu latissimo' clade (Iridaceae), congruent with morphology and molecular data
FIGURE 19. Approximate distribution areas: A) Eremiris (yellow); B) Sclerosiphon (green); C) Phaeiris (red); D) Zhaoanthus (blue); E) Hermodactylus (white).
FIGURE 16 in Can a rainbow consist of a single colour? A new comprehensive generic arrangement of the 'Iris sensu latissimo' clade (Iridaceae), congruent with morphology and molecular data
FIGURE 16. Approximate distribution areas: A) Limniris sect. Limniris (red); B) L. sect. Chrysographes (violet); C) L. sect. Californicae (yellow); D) L. sect. Prismaticae (orange).
FIGURE 9 in Can a rainbow consist of a single colour? A new comprehensive generic arrangement of the 'Iris sensu latissimo' clade (Iridaceae), congruent with morphology and molecular data
FIGURE 9. Approximate distribution areas: A) Pardanthopsis (violet); B) Belamcanda (orange); C) Juno (red); D) Junopsis (yellow). Areas for A and B include only the territories where they are presumably native.
FIGURE 13. Habit and floral details. A in Can a rainbow consist of a single colour? A new comprehensive generic arrangement of the 'Iris sensu latissimo' clade (Iridaceae), congruent with morphology and molecular data
FIGURE 13. Habit and floral details. A) Juno persica (Wright 1906: t. 8059); B) Evansia japonica (Redouté 1806: t. 152); C) Junopsis collettii (Hooker 1903: t. 7889); D) Tectiris milesii (Baker 1886: t. 6889).
FIGURE 18. Habit and floral details. A in Can a rainbow consist of a single colour? A new comprehensive generic arrangement of the 'Iris sensu latissimo' clade (Iridaceae), congruent with morphology and molecular data
FIGURE 18. Habit and floral details. A) Eremiris lactea (Lindley 1840: t. 1); B) Sclerosiphon songaricum (photo: Vladimir Kolobincev); C) Joniris ruthenica (photo: Aleksandr Kostjukov); D) Joniris ruthenica (Ker Gawler 1811: t. 1393); E) Phaeiris fulva (Small 1927: t. 388).
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.