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.
39
datasets available to search
ShareScore release 0.7.1
Dataset results
39 results for “Link Prediction”
A sensory investment syndrome hypothesis: Personality and predictability are linked to sensory capacity in the hermit crab Pagurus bernhardus
Open the record for dataset details and reuse information.
Data from: On the link between functional traits and growth rate: meta-analysis shows effects change with plant size, as predicted
A plant's growth rate is seen as a central element of its ecological strategy, and as determined by its traits.Yet the literature is inconsistent about the empirical correlation between functional traits and growth, casting doubt on the capacity of some prominent traits to influence growth rate. We propose that traits should influence growth in a way that depends on the size of individual plants. We outline mechanisms and hypotheses based on new theoretical work, and test these predictions in tree species using a meta-analysis of 103 studies (> 500 correlations) for five traits (specific leaf area, wood density, maximum height, seed mass and maximum assimilation rate).We also recorded data for 14 other traits commonly used in the trait literature.To capture the effects of plant size, we tested for a shift in the direction of correlation between growth rates and each trait across three ontogenetic stages: seedling,sapling and adult. Results were consistent with predictions, although there were some limitations arising from unequal numbers of observation across ontogenetic stages.Specific leaf area was correlated with relative growth rate in seedlings but not in adult plants.Correlations of growth with wood density were not affected by ontogenetic stage. Seed mass, assimilation rate and maximum height were correlated with relative growth rate only in one ontogenetic stage category: seedlings,seedlings and adults,respectively. Although we were able to confirm several of our theoretical predictions,major knowledge gaps still exist in the trait literature.For example,for one third of the traits considered,the majority (> 75%) of reported correlations with growth came from the same ontogenetic stage. Synthesis: We show for some traits, how trait-growth correlations change in a predictable way with plant size.Our understanding of plant strategies should shift away from describing species as having a fixed growth strategy throughout their life (on a continuous axis from slow to fast growth), in favour of a size-dependent growth trajectories.
Data from: Linking intra-specific trait variation to community abundance dynamics improves ecological predictability by revealing a growth-defence trade-off
1.Intraspecific trait change, including altered behaviour or morphology, can drive temporal variation in inter-specific interactions and population dynamics. In turn, variation in species' interactions and densities can alter the strength and direction of trait change. The resulting feedback between species′ traits and abundance permits a wide range of community dynamics that would not be expected from ecological theories purely based on species abundances. Despite the theoretical importance of these interrelated processes, unambiguous experimental evidence of how intraspecific trait variation modifies species interactions and population dynamics and how this feeds back to influence trait variation is currently required. 2.We investigate the role of trait-mediated demography in determining community dynamics and examine how ecological interactions influence trait change. We concurrently monitored the dynamics of community abundances and individual traits in an experimental microbial predator-prey-resource system. Using this data, we parameterized a trait dependent community model to identify key ecologically relevant traits and to link trait dynamics with those of species abundances. 3.Our results provide clear evidence of a feedback between trait change, demographic rates and species dynamics. The inclusion of trait-abundance feedbacks into our population model improved the predictability of ecological dynamics from r-squared of 34% to 57% and confirmed theoretical expectations of density dependent population growth and species interactions in the system. 4.Additionally, our model revealed that the feedbacks were underpinned by a trade-off between population growth and anti-predatory defence. High predator abundance was linked to a reduction in prey body size. This prey size decrease was associated with a reduction in its rate of consumption by predators and a decrease in its resource consumption. 5.Modelling trait-abundance feedbacks allowed us to pinpoint the underlying life history trade-off which links trait and abundance dynamics. These results show that accounting for trait-abundance feedbacks has the potential to improve understanding and predictability of ecological dynamics.
Online machine learning algorithms to predict link quality in community wireless mesh networks
<p>FunkFeuer raw topology data from 15-01-2016 to 28-01-2016 retrieved on 17-02-2016 from http://opendata.confine-project.eu/dataset/funkfeuer-topology-data. This dataset was employed in "Miguel L. Bote-Lorenzo, Eduardo Gómez-Sánchez, Carlos Mediavilla-Pastor, Juan I. Asensio-Pérez, Online machine learning algorithms to predict link quality in community wireless mesh networks, Computer Networks, Volume 132, 2018, Pages 68-80, https://doi.org/10.1016/j.comnet.2018.01.005."</p>
Data from: Linking intra-specific trait variation to community abundance dynamics improves ecological predictability by revealing a growth-defence trade-off
Open the record for dataset details and reuse information.
Data from: On the link between functional traits and growth rate: meta-analysis shows effects change with plant size, as predicted
Open the record for dataset details and reuse information.
Data from: Do glucocorticoids predict fitness? Linking environmental conditions, corticosterone and reproductive success in the blue tit, Cyanistes caeruleus
Open the record for dataset details and reuse information.
Multidrug Resistance-Linked Gene Signature Predicts Overall Survival of Patients with Primary Ovarian Serous Carcinoma
GEO Series GSE30009. Homo sapiens. 103 samples. Type: Expression profiling by RT-PCR.
ATAC-seq datasets for chromatin accessibility quantification in "Enhancer RNAs predict enhancer-gene regulatory links and are critical for enhancer function in neuronal systems"
GEO Series GSE150589. Rattus norvegicus. 18 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
RNA-seq datasets for enhancer RNA quantification in "Enhancer RNAs predict enhancer-gene regulatory links and are critical for enhancer function in neuronal systems"
GEO Series GSE150499. Rattus norvegicus. 19 samples. Type: Expression profiling by high throughput sequencing.
Charting DENR-dependent translation reinitiation uncovers predictive uORF features and links to circadian timekeeping via Clock
GEO Series GSE124790. Mus musculus. 7 samples. Type: Expression profiling by high throughput sequencing.
DENR-regulated reinitiation events uncover predictive uORF features and links to circadian timekeeping via Clock regulation
GEO Series GSE124793. Mus musculus. 29 samples. Type: Expression profiling by high throughput sequencing.
MLP link prediction models in H5 format
<p>The KG-COVID-19 graph from this Zenodo URL was used:</p> <p>https://zenodo.org/record/4011267/files/kg-covid-19-skipgram-aug-2020.tar.gz</p> <p>To produce these embeddings (Skipgram, 80/20 training/test split, seed=42, 500 epochs max, delta 0.0001)</p> <p>https://zenodo.org/record/4019808/files/SkipGram_80_20_training_test_epoch_500_delta_0.0001_embedding.npy</p> <p>These embeddings were used to train link prediction classifiers using this Jupyter notebook:</p> <p>https://github.com/justaddcoffee/kg_covid_19_drug_analyses/blob/master/Link%20prediction.ipynb</p> <p>SkipGram_weightedL2_finalized_model.h5</p> <p>SkipGram_weightedL2.csv</p> <p>SkipGram_weightedL1_finalized_model.h5</p> <p>SkipGram_weightedL1.csv</p> <p>SkipGram_hadamard_finalized_model.h5</p> <p>SkipGram_hadamard.csv</p> <p>SkipGram_average_finalized_model.h5</p> <p>SkipGram_average.csv all_reports.csv</p>
Predictive Nature of Total Cholesterol Threshold: Possible Link to Suicidal Behavior
ClinicalTrials.gov study NCT02847741. IPD Sharing: NO. Countries: 1. Publications: 0.
Charting DENR-dependent translation reinitiation uncovers predictive uORF features and links to circadian timekeeping via Clock
GEO Series GSE116221. Mus musculus. 22 samples. Type: Expression profiling by high throughput sequencing.
CDK4 phosphorylation status and a linked gene expression profile predict sensitivity to Palbociclib [tumors]
GEO Series GSE87007. Homo sapiens. 31 samples. Type: Expression profiling by array.
CDK4 phosphorylation status and a linked gene expression profile predict sensitivity to Palbociclib
GEO Series GSE87008. Homo sapiens. 51 samples. Type: Expression profiling by array.
Stromal Demarcation Line: is it Predictive for Cross-Linking Efficiency?
ClinicalTrials.gov study NCT02883868. IPD Sharing: Not stated. Countries: 0. Publications: 0.
CDK4 phosphorylation status and a linked gene expression profile predict sensitivity to Palbociclib [lines]
GEO Series GSE87006. Homo sapiens. 20 samples. Type: Expression profiling by array.
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.