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122 results for “Information processing”

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zenodo36/100

Informes de casos de estudio finales en hábitats humanos (anexo del libro: La visión sistémica del ambiente construido, 2024). [Data sets for the article: The Habitat Intervention Design Process -Part II]

<p>From the book: Estos informes est&aacute;n escritos en espa&ntilde;ol por los estudiantes que se mencionan en cada informe, quienes son los autores. Cada uno de estos seis documentos contiene casos de estudio y muestra la implementaci&oacute;n de la metodolog&iacute;a del 'Proceso de Dise&ntilde;o de Intervenci&oacute;n del H&aacute;bitat' (IDP) en cada uno de los 6 casos mencionados en el libro (<strong>Cap&iacute;tulo 2.5 y Cap&iacute;tulo 3.2</strong>) (Libro: La visi&oacute;n sist&eacute;mica del ambiente construido).&nbsp;</p> <p>Estos hacen parte de la Fase 2 Fundamentos Pr&aacute;cticos del Modelo del proyecto de investigaci&oacute;n "Modelo Pedag&oacute;gico para la Ense&ntilde;anza del Dise&ntilde;o de Intervenci&oacute;n del H&aacute;bitat en Programas de Educaci&oacute;n Superior".&nbsp;</p> <p>From the article: These reports are Spanish-written. Each of these six documents contains one of the case studies and shows the implementation of the 'Habitat Intervention Design Process' (IDP) methodology in each of the 6 case studies mentioned in the article "The Habitat Intervention Design Process -Part II: A Transdisciplinary Model in the Pedagogy of the Design of the Built Environment" published in The International Journal of Design Education in its 2023 version. Find it here:&nbsp;<a href="https://doi.org/10.18848/2325-128X/CGP/v17i02/155-195">https://doi.org/10.18848/2325-128X/CGP/v17i02/155-195&nbsp;</a></p>

opencc-by-4.0Jan 2023View details →
dryad36/100

Microevolutionary processes in a foundation tree inform macrosystem patterns of community biodiversity and structure

<p class="MDPI17abstract"><span>Despite an increased focus on multiscale relationships and interdisciplinary integration, few macroecological studies consider the contribution of genetic-based processes to landscape-scale patterns.<strong> </strong>We tested the hypothesis that tree genetics, climate, and geography jointly drive continental-scale patterns of community structure, using genome-wide SNP data from a broadly distributed foundation tree species (<a><em>Populus fremontii</em></a></span><span class="MsoCommentReference"><span> </span></span><span>S. Watson) and two dependent communities (leaf-modifying arthropods and fungal endophytes) spanning southwestern North America. Four key findings emerged: (1) Tree genetic structure was a significant predictor for both communities; however, the strength of influence was both scale- and community-dependent. (2) Tree genetics was the primary driver for endophytes, explaining 17% of variation in continental-scale community structure, whereas (3) climate was the strongest predictor of arthropod structure (24%). (4) Power to detect tree genotype<a><span>—</span></a></span><span>community phenotype associations changed with scale of genetic organization, increasing from individuals to populations to ecotypes, emphasizing the need to consider nonstationarity (i.e., changes in the effects of factors on ecological processes across scales) when inferring macrosystem properties. Our findings highlight the role of foundation tree species as drivers of macroscale community structure and provide macrosystems ecology with a theoretical framework for linking fine- and intermediate-scale genetic processes to landscape-scale patterns. Management of genetic diversity harbored within foundation species is a critical consideration for conserving and sustaining regional biodiversity.</span></p>

opencc-zeroJun 2023View details →
zenodo36/100

Dataset for PNAS: Adiabatic computing for optimal thermodynamic efficiency of information processing

<p>Data set for the article to be published in PNAS &quot;Adiabatic computing for optimal thermodynamic efficiency of information processing&quot;</p> <p>This data set contains:</p> <ul> <li><strong>optimal_1ms.zip</strong>&nbsp;: raw&nbsp;data files of the response to an optimal erasure protocol of characteristic duration 1ms. This Matlab file includes all necessary quantitites to compute the average work and heat during the procedure ( ie position trajectory and driving parameters).</li> <li><strong>optimal_3ms_part1 &amp; _part2.zip</strong>: same for optimal protocols of 3ms.</li> <li><strong>Analysis_code_optimal.m</strong>: Analysis Matlab code to be run on the mat files above. The code run the full analysis and output the work, heat, kinetic and potential energy and some calibration parameters. The processed data is saved in <strong>optimal_1 &amp; 3ms_result.mat</strong>.</li> <li><strong>Fast_erasure_v1_0.3 &amp; _0.12.zip</strong>: same for basic protocol at v<sub>1</sub>=0 &amp;&nbsp;v<sub>1</sub>=0.12. The processed data is saved in&nbsp;<strong>Fast_erasure_v1_0.3 &amp; _0.12.mat</strong>.&nbsp;This data corresponds tp the two speeds used to draw the heating kinetic energy curves of Fig.4</li> <li> <p><strong>BasicAndOptimalTranslations.mat:</strong> Mat file containing&nbsp;the data used to create Fig. 3:</p> <ul> <li> <p>tprotocol (ms), x1basprotocol and x1optprotocol (sigma) define&nbsp;the ramps of the well center for the basic and optimal protocols (time and value of x1 for each ramp).</p> </li> <li> <p>t (ms), xbas and xopt (sigma) are the recording from the experiment (time, and arrays corresponding to 2000 measurements with 10ms of data sampled at 2Mhz each). The data is post processed with a low pass filter at 8kHz (filtfilt function in Matlab, using a 4th order butterworth filter). Fig. 3 correspond to the average of those 2000 trajectories.</p> </li> <li> <p>f0 (Hz) is the resonance frequency of the cantilever.</p> </li> </ul> </li> <li><strong>FigX.fig: </strong>Matlab format figure source used to draw all of the plots of the article, embedding the all data.</li> </ul>

opencc-by-4.0Aug 2023View details →
ClinicalTrials.gov36/100

Hormone and Information Processing Study

ClinicalTrials.gov study NCT00539305. IPD Sharing: Not stated. Countries: 1. Publications: 5.

restrictedIPD-UNDECIDEDFeb 2026View details →
dryad36/100

Why cannot long-term cascade be predicted? Exploring temporal dynamics in information diffusion processes

Open the record for dataset details and reuse information.

publicSep 2021View details →
dryad36/100

Stiffness reprogrammable magnetorheological metamaterials inspired by the spine for multi-bit visual mechanical information processing

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publicOct 2025View details →
dryad36/100

Microevolutionary processes in a foundation tree inform macrosystem patterns of community biodiversity and structure

Open the record for dataset details and reuse information.

publicJun 2023View details →
dryad36/100

CA1 20-40 Hz oscillatory dynamics reflect trial-specific information processing supporting nonspatial sequence memory

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publicMay 2022View details →
zenodo32/100

Process Mining from Information-Seeking Conversations

<p>Synthetic dataset and event logs for the paper &#39;Process Mining from Information-Seeking Conversations&#39; submitted to WCCI 2020.&nbsp;</p>

opencc-by-4.0Mar 2020View details →
zenodo32/100

Complete set of raw and processed datasets, as well as associated Jupyter notebooks for analysis, associated with manuscript entitled: "The MOUSE project: a practical approach for obtaining traceable, wide-range X-ray scattering information"

<p>This dataset is a complete set of raw, processed and analyzed data, complete with Jupiter notebooks,&nbsp;associated with the manuscript mentioned in the title.&nbsp;</p> <p>In the manuscript, we provide a ``systems architecture&#39;&#39;-like overview and detailed discussions of the methodological and instrumental components that, together, comprise the &quot;MOUSE&quot; project (<strong>M</strong>ethodology <strong>O</strong>ptimization for <strong>U</strong>ltrafine <strong>S</strong>tructure <strong>E</strong>xploration). Through this project, we aim to provide a comprehensive methodology for obtaining&nbsp;the highest quality X-ray scattering information (at small and wide angles)&nbsp;from measurements on materials science samples.&nbsp;</p>

opencc-by-4.0Dec 2020View details →
dryad32/100

Data from: Biogeographic dating of speciation times using paleogeographically informed processes

Standard models of molecular evolution cannot estimate absolute speciation times alone, and require external calibrations to do so, such as fossils. Because fossil calibration methods rely on the incomplete fossil record, a great number of nodes in the tree of life cannot be dated precisely. However, many major paleogeographical events are dated, and since biogeographic processes depend on paleogeographical conditions, biogeographic dating may be used as an alternative or complementary method to fossil dating. I demonstrate how a time-stratified biogeographic stochastic process may be used to estimate absolute divergence times by conditioning on dated paleogeographical events. Informed by the current paleogeographical literature, I construct an empirical dispersal graph using 25 areas and 26 epochs for the past 540 Ma of Earth's history. Simulations indicate biogeographic dating performs well so long as paleogeography imposes constraint on biogeographic character evolution. To gauge whether biogeographic dating may be of practical use, I analyzed the well-studied turtle clade (Testudines) to assess how well biogeographic dating fares when compared to fossil-calibrated dating estimates reported in the literature. Fossil-free biogeographic dating estimated the age of the most recent common ancestor of extant turtles to be from the Late Triassic, which is consistent with fossil-based estimates. Dating precision improves further when including a root node fossil calibration. The described model, paleogeographical dispersal graph, and analysis scripts are available for use with RevBayes.

opencc-zeroDec 2015View details →
zenodo32/100

Integrating the interconnections between groundwater and land surface processes through the coupled NASA Land Information System and ParFlow environment

<p>This is a dataset used in the paper entitled "Integrating the interconnections between groundwater and land surface processes through the coupled NASA Land Information System and ParFlow environment" by Maina et al., 2024</p>

opencc-by-4.0Apr 2024View details →
dryad32/100

Examining the relationship between processing fluency and memory for source information

<p>Familiarity-based processes such as processing fluency can influence memory judgements in tests of item recognition. Many conventional accounts of source memory assume minimal influence of familiarity on source memory, but recent work has suggested that source memory judgements are affected when test stimuli are processed with greater fluency as a result of priming. The present experiments investigated the relationship between fluency and the accuracy of source memory decisions. Participants studied words presented with different source attributes. During test, they identified words that gradually clarified on screen through progressive de-masking, made old/new and source memory judgements, and reported confidence ratings for those words. Response times (RTs) recorded from the item identification task formed the basis of a fluency measure, and identification RTs were compared across categories of item recognition, source accuracy, and confidence. Identification RTs were faster in trials with correct retrieval of source information compared to trials for which source could not be accurately retrieved. These findings are consistent with the assumption that familiarity-based processes can contribute to source memory judgements.</p>

opencc-zeroNov 2021View details →
zenodo32/100

Distribution. Known from two localities in SW Ecuador (El Oro Province); more recently, it has been recorded in the Pacific coast of Colombia (Choco and Valle del Cauca departments), and NW Peru (Tumbes Department). Known distribution is changing as existing specimens from NW South America (listed as S. Lilium parvidens) are reidentified as this species; new geographic and ecological information is being gathered in the process, and it could be locally common at some specific habitats. in Phyllostomidae

Distribution. Known from two localities in SW Ecuador (El Oro Province); more recently, it has been recorded in the Pacific coast of Colombia (Choco and Valle del Cauca departments), and NW Peru (Tumbes Department). Known distribution is changing as existing specimens from NW South America (listed as S. Lilium parvidens) are reidentified as this species; new geographic and ecological information is being gathered in the process, and it could be locally common at some specific habitats.

opennotspecifiedOct 2019View details →
zenodo32/100

Decision-making in Emergency Medicine: Estimates of Intuitive and Rational Information Processing

<p>Dummy and target vignettes.</p>

opencc-by-4.0Sep 2017View details →
zenodo32/100

Assisted Data Annotation for Business Process Information Extraction from Textual Documents

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opencc-by-4.0Jul 2024View details →
dryad32/100

Information theoretic evidence for layer- and frequency-specific changes in cortical information processing under anesthesia

<p>Nature relies on highly distributed computation for the processing of information in nervous systems across the entire animal kingdom. Such distributed computation can be more easily understood if decomposed into the three elementary components of information processing, i.e., storage, transfer and modification, and rigorous information theoretic measures for these components exist. However, the distributed computation is often also linked to neural dynamics exhibiting distinct rhythms. Thus, it would be beneficial to associate the above components of information processing with distinct rhythmic processes where possible. Here we focus on the storage of information in neural dynamics and introduce a novel spectrally-resolved measure of active information storage (AIS). Drawing on intracortical recordings of neural activity in ferrets under anesthesia before and after loss of consciousness (LOC), we show that anesthesia-related modulation of AIS is highly specific to different frequency bands and that these frequency-specific effects differ across cortical layers and brain regions. We found that in the high/low gamma band, the effects of anesthesia result in AIS modulation only in the supergranular layers, while in the alpha/beta band, the strongest decrease in AIS can be seen at infragranular layers. Finally, we show that the increase of spectral power at multiple frequencies, in particular at alpha and delta bands in frontal areas, that is often observed during LOC ('anteriorization') also impacts local information processing – but in a frequency-specific way: Increases in isoflurane concentration induced a decrease in AIS in the alpha frequencies, while they increased AIS in the delta frequency range $&lt;2$Hz. Thus, the analysis of spectrally-resolved AIS provides valuable additional insights into changes in cortical information processing under anaesthesia.</p>

opencc-zeroJan 2023View details →
zenodo32/100

Single trial variability in neural activity during a working memory task reveals multiple distinct information processing sequences

<p>0-,1-,2-back behavioral and preprocesses EEG data for&nbsp;<em>Single trial variability in neural activity during a working memory task reveals multiple distinct information processing sequences</em></p>

opencc-by-4.0Jul 2022View details →
zenodo32/100

Counting and Sequential Information Processing in Mechanical Metamaterials

<p>This dataset contains images and driving protocols used in the paper: &quot;Counting and Sequential Information Processing in Mechanical Metamaterials&quot;, published in Physical Review Letters.</p> <p>In this paper we demonstrate &quot;beam counters&quot;; metamaterials that count driving cycles. We demonstrate the counters sensitivity to various driving amplitudes and show how this might be used to infer more information from the applied driving and how to construct a &quot;lock and key&quot; metamaterial with an internal state that can only be reached with one unique input sequence.<br> <br> The data in this replication package is hierarchically organized by making use of a directory per figure in the paper. Contained in this replication package are a number of files used in the figure as described below.</p> <p>Experimental data from the measurement setup is stored in matched subdirectorys with a name, for example &quot;001/&quot; and a file &quot;times_001.csv&quot;. Here the subdirectory contains images taken of the sample and the csv file contains the times at which the images were taken, the change in pixel intensity from one image to the next (sampled at a shorter interval than the saved images) and the position of the driving stage and a measured inductive position.<br> &nbsp;</p> <ul> <li>fig1 <ul> <li>001/<br> &nbsp;&nbsp;&nbsp; - directory containing the original unedited figures comparing above and below D*</li> <li>001_cropped_selection/<br> &nbsp;&nbsp;&nbsp; - directory containing a cropped selection of the images used in the figure</li> <li>times_001.csv</li> </ul> </li> <li>fig2 <ul> <li>002/<br> &nbsp;&nbsp;&nbsp; - directory containing images of the ten counter being compressed with marked m-beams</li> <li>times_002.csv</li> <li>Kymograph.tif<br> &nbsp;&nbsp;&nbsp; - A kymograph image calculated from 002 by filtering the colored m-beams and taking stacking a single horizontal slice from all of the images.</li> <li>kymograph.svg<br> &nbsp;&nbsp;&nbsp; - The plotted horizontal position of the beam traces visible in Kymograph.tif</li> </ul> </li> <li>fig3 <ul> <li>000/<br> &nbsp;&nbsp;&nbsp; - directory containing images of the compression of counter with uncut a-beams</li> <li>000_cropped/</li> <li>times_000.csv</li> <li>004/<br> &nbsp;&nbsp;&nbsp; - directory containing images of the same counter with the a-beams slit cut</li> <li>004_cropped/</li> <li>times_004.csv</li> <li>comparison/<br> &nbsp;&nbsp;&nbsp; - directory containing a selection of cropped images at comparable driving used in the figure</li> </ul> </li> <li>fig4 <ul> <li>Alternative starting condition/ <ul> <li>001/<br> &nbsp;&nbsp;&nbsp; - directory containing images of the ten-counter compressed in an alternative starting state</li> <li>001_cropped/<br> &nbsp;&nbsp;&nbsp; - directory with cropped versions of the images in 001/ and further cropped versions in further subdirectories</li> <li>001_selection/</li> <li>times_001.csv</li> </ul> </li> <li>BBAC machine <ul> <li>006/<br> &nbsp;&nbsp;&nbsp; - directory containing images of the four counters making up the BBAC machine under a driving of BAC</li> <li>006_state/<br> &nbsp;&nbsp;&nbsp; - selection of images used in the paper with a subdirectory contining cropped versions</li> <li>times_006.csv</li> </ul> </li> </ul> </li> </ul>

opencc-by-4.0Jun 2023View details →
zenodo32/100

Si/SiGe QuBus for single electron information-processing devices with memory and micron-scale connectivity function

<p>Dataset and analysis scripts&nbsp;for the arXiv paper:&nbsp;Si/SiGe QuBus for single electron information-processing devices with memory and micron-scale connectivity function (submitted for peer-review)</p>

opencc-by-4.0Sep 2023View details →

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record