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.
30,334
datasets available to search
ShareScore release 0.9.0
Dataset results
30,334 results for “Responsiveness”
Results of Investigation of a Molecular Plasma From Its Acoustic Response
<p>Result data set of the publication "Investigation of a Molecular Plasma From Its Acoustic Response"</p>
Subglacial hydrology modulates basal sliding response of the Antarctic ice sheet to climate forcing
<p><strong><em>Kazmierczak22_data.zip</em></strong><strong> contains the </strong><strong>dataset for the publication </strong><strong>« </strong>Subglacial hydrology modulates basal sliding response of the Antarctic ice sheet to climate forcing » <strong>and </strong><strong>the <em>MATLAB</em> codes used to create the figures appearing in the paper. For more details, please, open the <em>Read me.txt</em> file. </strong></p>
Interpretable AI for drug response prediction
<p>This dataset contains input data needed to run the models evaluated in our study "Interpretable deep learning architectures for improving drug response prediction: myth or reality?". The data required to run each model is organized into sub-folders, with the folder name being the corresponding model name. The data in 'model_agnostic_data' is shared by all models. For details regarding each data file, please refer to the documentation ('input_data_doc') included. The code for this study is available at <a href="https://github.com/Emad-COMBINE-lab/InterpretableAI_for_DRP">https://github.com/Emad-COMBINE-lab/InterpretableAI_for_DRP</a></p> <p> </p>
Survival, wet weight and muscle cellular stress responses of Palaemon varians shrimps exposed to combined temperature and salinity variations
<p>Shrimps were exposed to a full factorial experiment combining different temperatures (20, 23 and 26 ºC) and salinities (20, 40). Cellular stress response biomarkers were assessed in the shrimps muscle at several time-points, namely the 7th, 14th, 21st and 28th days of exposure. Wet weight (as proxy for growth) and survival were also assessed during the experiment. These datasets refer to the publication of an article in STOTEN (<a href="https://doi.org/10.1016/j.scitotenv.2022.158732">https://doi.org/10.1016/j.scitotenv.2022.158732</a>).</p> <p>Note: the biomarker dataset contained 3.2% of missing values, which were replaced by group averages for the purpose of the statistical analyses in the article.</p>
Story Map of the Council of Tampere Region on Responsible Regional Innovation Policy
<p>The Co-Change Lab at the Council of Tampere Region focuses on developing regional funding to improve responsibility and sustainability.</p>
Transcriptional regulation underlying the temperature response of embryonic development rate in the winter moth
<p>Climate change will strongly affect the developmental timing of insects, as their development rate largely depends on ambient temperature. However, we know little about the genetic mechanisms underlying the temperature sensitivity of embryonic development in insects. We investigated embryonic development rate in the winter moth (<em>Operophtera brumata</em>), a species with egg dormancy that has been under selection due to climate change. We used RNAseq to investigate which genes are involved in the regulation of winter moth embryonic development rate in response to temperature. Over the course of development, we sampled eggs before and after an experimental change in ambient temperature, including two early development weeks when the temperature sensitivity of eggs is low and two late development weeks when temperature sensitivity is high. We found temperature-responsive genes that responded in a similar way across development, as well as genes with a temperature response specific to a particular development week. Moreover, we identified genes whose temperature effect size changed around the switch in temperature sensitivity of development rate. Interesting candidate genes for regulating the temperature sensitivity of egg development rate included genes involved in histone modification, hormonal signalling, nervous system development, and circadian clock genes. In conclusion, the diverse sets of temperature-responsive genes we found here indicate that there are many potential targets of selection to change the temperature sensitivity of embryonic development rate. Identifying for which of these genes there is genetic variation in wild insect populations will give insight into their adaptive potential in the face of climate change.</p>
Automated Classification of Dyadic Conversation Scenarios using Autonomic Nervous System Responses
<p>This repository contains supplementary files for our study "Automated Classification of Dyadic Conversation Scenarios using Autonomic Nervous System Responses". The two files are:</p> <p>- ConversationClassification_FeatureTable.xlsx is an MS Excel file that contains all physiological features (individual features and synchrony features) for all valid dyads and all intervals.</p> <p>- ConversationClassification_SynchronyCalculation.zip contains the MATLAB 2021b code used to calculate four physiological synchrony metrics: dynamic time warping, nonlinear interdependence, coherence, and cross-correlation. It also includes some open-source code from other authors that is required for our synchrony calculation code to work. As inputs, the synchrony calculation functions accept 4-minute signal vectors from both participants in the dyad.</p>
Meta-analysis reveals challenges and gaps for genome-to-phenome research underpinning plant drought response.
<p>Data used to identify species occurring in hyperarid environments for analyses described in "Meta-analysis reveals challenges and gaps for genome-to-phenome research underpinning plant drought response." The "PlantsLackingHumanUse_PrelimQCd_Data.csv" contains data for all plants queried, while "HyperArid_Occurrences.csv" contains the subset of data corresponding to plants occurring in hyperarid environments.</p>
Figure 1 in Functional response of the predatory mite, Typhlodromus bagdasarjani (Acari: Phytoseiidae) to protonymphs of Eotetranychus frosti (Acari: Tetranychidae) on four apple cultivars
Figure 1 The functional responses curves of adult females of Typhlodromus bagdasarjani to different densities ofEotetranychus frosti protonymphs on four apple cultivars.
Figure 4 in Gene expression changes in response to combination stresses in Phaseolus vulgaris L. (Fabaceae)
Figure 4. Relative gene expression of some genes (OS, PR3, LOX, PR4 and PAL) by real-time PCR in Tetranychus
Figure 3 in Gene expression changes in response to combination stresses in Phaseolus vulgaris L. (Fabaceae)
Figure 3. Relative gene expression of some genes (OS, PR3, LOX, PR4 and PAL) by real-time PCR in Tetranychus
Figure 2 in Gene expression changes in response to combination stresses in Phaseolus vulgaris L. (Fabaceae)
Figure 2. Relative gene expression of some genes (OS, PR3, LOX, PR4 and PAL) by real-time PCR in Tetranychus
Figure 1 in Gene expression changes in response to combination stresses in Phaseolus vulgaris L. (Fabaceae)
Figure 1. Relative gene expression of some genes (OS, PR3, LOX, PR4 and PAL) by real-time PCR in Tetranychus
Figure 4 in Daily consumption and functional response of Stethorus gilvifrons (Coleoptera: Coccinellidae) and Orius albidipennis (Hemiptera: Anthocoridae) to Tetranychus urticae (Acari: Tetranychidae)
Figure 4. Proportion of T. urticae eggs consumed by adults of: a) O. albidipennis, b) S. gilvifrons, when provided by different prey densities.
Figure 3 in Daily consumption and functional response of Stethorus gilvifrons (Coleoptera: Coccinellidae) and Orius albidipennis (Hemiptera: Anthocoridae) to Tetranychus urticae (Acari: Tetranychidae)
Figure 3. Proportion of T. urticae eggs consumed by immatures of: a) O. albidipennis, b) S. gilvifrons, when provided by different prey densities.
Figure 2 in Daily consumption and functional response of Stethorus gilvifrons (Coleoptera: Coccinellidae) and Orius albidipennis (Hemiptera: Anthocoridae) to Tetranychus urticae (Acari: Tetranychidae)
Figure 2. Proportion of T. urticae protonymphs consumed by different life stages of: a) O. albidipennis, b) S. gilvifrons, when provided by different prey densities.
Figure 1 in Daily consumption and functional response of Stethorus gilvifrons (Coleoptera: Coccinellidae) and Orius albidipennis (Hemiptera: Anthocoridae) to Tetranychus urticae (Acari: Tetranychidae)
Figure 1. Proportion of T. urticae females consumed by different life stages of: a) O. albidipennis, b) S. gilvifrons, when provided by different prey densities.
Figure 1 in Functional response and predation rate of Amblyseius swirskii (Acari: Phytoseiidae) at three constant temperatures
Figure 1. Functional response of Amblyseius swirskii to eggs of Tetranychus urticae at 25 (A), 30 (B) and 35°C (C).
Supplementary material - Eggerthella lenta DSM 2243 alleviates bile acid stress response in Clostridium ramosum and Anaerostipes caccae by transformation of bile acids
<p>The word document is a collection of supplementary figures and tables. <br> The excel file is a collection of raw data from experiments.</p>
Evolutionary effects of nitrogen are not easily predicted from ecological responses
<p>Anthropogenic nitrogen (N) addition might alter the evolutionary trajectories of plant populations, in part because it alters the abiotic and biotic environment by increasing aboveground primary productivity, light asymmetry, and herbivory intensity, and reducing plant species diversity. Such evolutionary impacts could be caused by N altering patterns of natural selection (i.e., trait-fitness relationships) and the opportunity for selection (i.e., variance in relative fitness). Because at the community level N addition favors species with light acquisition strategies (e.g., tall species), we predict that N would also increase selection favoring those same traits. We also hypothesize that N could alter the opportunity for selection via its effects on mean fitness and/or competitive asymmetries.To investigate these evolutionary consequences of N, we quantified the strength of selection and the opportunity for selection in replicated populations of the annual grass Setaria faberi Herrm. (giant foxtail) growing in a long-term N addition experiment. We also correlated our measures of selection and opportunity for selection with light asymmetry, diversity, and herbivory intensity to identify the proximate causes of any N effects on evolutionary processes. N addition increased aboveground productivity, light asymmetry, and reduced species diversity. Contrary to expectations, N addition did not strengthen selection for trait values associated with higher light acquisition such as greater height and specific leaf area (SLA); rather, it strengthened selection favoring lower SLA. Increased light asymmetry was associated with stronger selection for lower SLA and lower species diversity was associated with stronger selection for greater height and lower SLA, suggesting a role for these factors in driving N-mediated selection. The opportunity for selection was not influenced by N addition (despite increased mean fitness) but was negatively associated with species diversity. Our results indicate that anthropogenic N enrichment can affect evolutionary processes, but that evolutionary changes in plant traits within populations are unlikely to parallel the shifts in plant traits observed at the community level.</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.